日月光5G智慧工廠所使用的影像辨識AI演算法,即是灼灼協助開發,同時部署在邊緣運算上。 其裝置猶如投影筆大小的機器,上頭搭載華晶科的360度攝影機及高通的運算晶片,灼灼影像辨識的演算法就放到高通晶片上。 將裝置放置在無塵室及工廠的AGV 無人搬運車上,隨著搬運車移動擷取影像,即時進行人員與機臺狀態辨識等功能,達到巡檢的目的。
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” width=”604px” alt=”ai模型”/>
雲原生技術乾貨文章合集,來咯~ 2021 年,要說咱們技術圈子裏什… 當前疫情形勢嚴峻,商場、火車站、地鐵口等公共場所對人員流量的統計至關重要。 —- 哈工大訊飛聯合實驗室(HFL)發佈2022年秋季實習生招聘啓事,歡迎有意申請的同學填寫文章末尾的問卷應聘。
ai模型: 快速連結
基本上是在時間上進行擴展的標準神經網絡,因爲邊進入下一個時間步,而不是在同一時間步進入下一個層。 設計RNN主要是爲了識別序列,例如語音信號或者文本。 對很多人來說,給「深度學習」下一個定義確實很有挑戰,因爲在過去的十年中,它的形式已經慢慢地發生了很大的變化。

垃圾短信已日益成爲困擾運營商和手機用戶的難題,嚴重影響到人們正常生活、侵害到運營商的社會形象以及危害着社會穩定。 而不法分子運用科技手段不斷更新垃圾短信形式且傳播途徑非常廣泛,傳統的基於策略、關鍵詞等過濾的效果有限,很多垃圾短信“逃脫”過濾,繼續到達手機終端。 希望基於短信文本內容,結合機器學習算法、大數據分析挖掘來智能地識別垃圾短信及其變種。
ai模型: 生成對抗網路(GAN)
1.理解AI模型設計,運用TensorFlow訓練平臺,開發各種ML(機器學習)模型。 2.採取MLOps專案管理模式,支持AI團隊與晶片設計師的協同設計(Co-design)與開發,無縫銜接到PLC、EDA晶片設計環境。 導讀|遭受內存泄露往往是令開發者頭疼的問題,傳統分析工具 gdb、Valgrind在解決內存泄露問題上效率較低。 本文特別邀請到了騰訊後臺開發工程師邢孟棒以 TDSQL實際生產中mysql-proxy內存泄露問題作爲分析對象,分享其基於動態追蹤技術的通用內存泄露(增長)分析方法。 其中將詳細介紹內存分配器行爲分析、缺頁異常事件分析,涵蓋應用程序內存分配的常見過程。
在此過程中,工程師會在 AI 模型學習時一邊加以修改及改善。 採用 Intel® 架構最佳化的軟體解決方案,不僅能提高更高的效能,還可簡化開發及執行 AI 部署的過程。 特別聲明:以上內容(如有圖片或視頻亦包括在內)爲自媒體平臺“網易號”用戶上傳併發布,本平臺僅提供信息存儲服務。 ai模型2025 在這篇解釋文章下面,就有繼續追問他們爲什麼要加上這麼一步畫蛇添足卻成本巨大的步驟。 因爲對於AI——特別是有着技術突破的AI,現在的用戶都心知肚明它們存在或多或少的錯誤,人們對新技術有着充足的容忍度,已不需要額外的遮遮掩掩。
ai模型: AI模型訓練,記得校準商業目標
隨機梯度下降的想法就是每次在Delta f_i 中隨機選取一個計算代替上面的Delta f_i,以這個隨機選取的方向作爲下降的方向。 這樣的方法反而比梯度下降能夠更快地到達(局部)最優解。 如果讓人來走,可能就不一樣了,你可能會先隨便選一個方向,然後沿着這個方向的梯度向下走;過一會兒再隨機換一個方向向下走;最後你發現自己差不多也到了谷底了。 這種方法的計算量很大,因爲函數評估的數量是O(N),其中N是參數的數量。 基本上就是用共享權重在空間中進行擴展的標準神經網絡。 設計CNN主要是爲了通過內部卷積來識別圖片,內部卷積可以看到待識別物體的邊。

這一特點可以讓它可以做到很深的層級(達到 300 層),但事實上它們是一種沒有明確延時的 RNN。 稀疏自編碼器(SAE)是另外一個有時候可以抽離出數據中一些隱藏分組樣試的自動編碼的形式。 結構和 AE 是一樣的,但隱藏單元的數量大於輸入或輸出單元的數量。 實際上的組合雖然有點不同:但是所有的 LSTM 門都被組合成所謂的更新門(Update Gate),並且復位門(Reset Gate)與輸入密切相關。 這完美適用於函數逼近和機器控制(例如作為 PID 控制器的替代)。 人工智慧(AI)自動化近年來受到了廣大的關注,但在真正的建模工程師和業務人員眼中,卻一直只是玩具級別的應用。
ai模型: 【若水導讀】AI 模型落地的起手式:
雖然重新訓練不像開發需要 1 年,但也得花上 3~6 個月時間,如果同時監控 1,000 個模型,並讓它們都維持在最佳狀態,需付出相當大的時間成本。 一、騰訊雲AI多項解決方案亮相2021世界人工智能大會 7月8日-10日,2021世界人工智能大會隆重召開,本次大會由國家發展與改革委員會、科學技術部、工業和… 來北京工作快一年了,做了比較久的AI相關的訓練部署工作,一直處於快速學習快速輸出的狀態,沒有好好總結一下這段時間的工作內容和覆盤自己的不足。
Fx+90mkW+WQMOCUskeD+kgg8nySQfFdriqoqJcmEzY5yIJo4mimd2CqSCWTadwJClW3LQNgggWRRrpqLWp8iEk6cfcgZlWZTIykfqBYAFb+Qb+a5vqS6qyBkUxySJSkL7o+OAD4X3Ubscjz56FahGJYQ0+NEZJztnkUg38ggjgV9fksbqz12tofLZfKr37aCcWXJnZOOIs8lnb02wMlfULOrAboWHJIPFA3ZAIU+XJBEmDqWS8sY9CfJX0PY0jusgL+gt0AFlVmtjRJNsCNoZIUkiD+uqLLIDGJLstHQVwTY5NWPuOd1ddm/iGBiTEo8WG6iLIVXUrInAo1YUDkCiP1EXyQaVUipnKSZEzQAQcAve4cgtyuMF32Z4KUK6SU6J6Hf08uj37v1cWhjUFxMYxwrkb3avEcuMCHRSpG8KeVdK4YWyVuXjqudw61lY8sGTPmJkNqWJlT5StJGkbx4SqXmbcDIV9NihkiH8ttofcGKhvWsbKzF9SPWJYMfEhaQqJSkUSQh3HqFCHljPqEMpYUg53/FU1TSe9MyHD1jR8nK1n11EeQTqO5pVjj2RxGRnjlJRjKoIWNllkaQKkoJWOXTVC5ctM06iCColil0uU8oAsVMQQAtJSnUJiXjVcPl8PKlLKgkMQAbfMMajghiWJ0lrM4MAO98ifuFy0eTGmJp+ScNsZ8Rg8OTRrlUYsjGNgqkl1+eCGNPWbNdEx8ZMmPGmyTmLiiVJMOfKjT01kRhvTd7ijMjEMCoJ8HotNm508upyM1JqGR/5yJogtbZA4fbQ2MjKRQC7SWTimHQqWVZlklyIdpmZjZU7VlKkWCB9ApIrkILNAAaGd4Zmnwww6ZG4tdyDY5HTbUdfQyRTyxJYED32u73zYHJjV9G0rthtVxNCyM3UNYSc4ck7Z+gjP8Ay2ofl8szRrhuCpjY+gXES7vSiZmmb0mdd1/DjUND13tbCOl67i9yxYGayx5WKX9LBkR9+PEyzM0w2KVAZ2L8A+DQ+cew+69X03XNL1bteSTHfDyIEzjJlKVYSyKhZgVB9JtxO1edhYbgVDDUu3/xDGtdy52p6BoGbHkZmiwavlYemiCSczuN3oSOp3TFk2ENSbz6dh/UiPXlfxLRpk1AqJxMxCdGsakg7AhYSlr2N1MoEAgk6kx8Wp6ziFAtEmyxcHl+ZNhliNQNiksG2s+s6hmyY2nQyYOXBLDLkb412lnkoUUZW5Ow7foaIrbwCAWCOdJpIMSPIV9xKqTsWUi2A2mlYqCB9aHnnp7tXufR++tFytb0L0pcZpGgyHELxskqhZGDKSDe1gwfbyGri9qs6/PhGR10ppoHnYHJxx/6ZK2Adymm4PxxRJ+7eacT41pPh1SCDLLFCgxcMMHWAoAJdJsw1HI1eT8R4TOo5hM06S2N98OzpJxuxs7EhCtGkEUo9BIZUqNWIU8Xu4c1554NE/Y0I8OXEZ2hneNvTJRZkYhHW/HJoWPHgdMMsj4/oCaRY+WWO7UH5IHx8eOuLjOgV8eiCNrK3+L/AHz/AG/uJm8bmTZiPCTazjra4A8/lORbu4QISHcxK/PrErR5SlpNxH8o1tYHkVfz9QeeL8dRhPOskkWNLIysd5WQXR8m78EdRMrUsXCi9TU8QwQB9iyCqstQPt5rnk1wOTVGiCRRSQK0Mrem/MbC+Of8/p8dEamTxAoRMmFkH5VA3NrjULE3D3LGxAvDlyjKGoix9RCEnf8AMGSZVJSMIYiPbt+VN+DY/wBjqOEjDb4MZlIYlGvlaPBsHgj+vUsxsFBcjkc0OPnx9uvKgXwlf046GrE2YQlSsEm4uH6HbGzfy3UBiEnJk/KSRSTemry+u3usO3gsL+aP+/PQrX5sDKyomycUrKkIRjDIUVqZuao819+jC47qWjDK0Z9ygj9P26A9w46NmRkpR9IXQI+T1oKWrrUEamVZmWHFiS4yN7EAOM5i1w3SagesW2GJmw8dG3MY41FMBZoCj9iPt/05h5+Im38zih/j1VUfBumoff8Ap/n0Tia4QRVbbNKABx8AeB8UK5/r0rdItshQObKklgAf6HxXWir+Gya+WpEwMTvuCMEfoRg3xcwHMwomEjrAMdxaThF9L7l7P0XWdL1XHlimbVUkeIPHREYSN0J3qXuyeEPHjrEvxW1WbA7ww+59I1fuhosrCTDXG1QwDHw8OGS0wsZsdUKQhdjBAiFVkqydzSal39BT4uW+A8MsdxvIJNylTyD4oi1AvzyAbvr5/wC85VTuPUoEkli9HL3emTyd0aEOoHjgCieSqrZBUJ16j8E0cij4EKiTNKphJSrKWUFEklBJIUUsCFabAMFOFH1T4Pq50ym/Bg/4iCSlhcg5cXe49ALCBcuTAcyLUoZWlyWlaeWTIcszOWvbIyBd9FWcMm2xJyqla6aknyBhY2C+QZcfBSSKABgyBS1sFA9tE+4UAOR8UAxIXdveAHJNkLQNm74+PFVx/oF0GUONxIq/gj4/v/8AfxYNqnKLtZ8/b9wD5xtxLSkDt/f8keUc9gNts5sLtbgG/ab+CCAQbsUa5rozp/c2TJnCXUNKh1WfJkiYgsYpvVjDbJkMeypSJG3SNZa5PcolYgY8Ue4MzXGV4dSPb44sccff/v09ohlxdaxHkdUV5RHLbAAqwIbyQB9rIptvjqEUcitmpRP3IDixAcYNiOvdrviJBUKlS1N0dtvf3jhln0LVMzExoN0IG4xEklQVDCVAGFlXKzLu3LG8cbD9Pu5h61q+jZci4mozZAiRFgE88oQiOZJgrRlvcrBGjKXR9VlVju9yNQdsxU1eN5ismyCWN22ywyqoIViP1WFsMRyVewGAAgpw4kjHplCpGz20RQuvrxf0+eiM+cZMxkKLAuCS5Y4LnJIZyS7i7ERGEJnJ1TACWD+Y9+veNF/BL8bO0fw2/H7tf8TNU0zKlwe34JMeXSdMlx5cv/8Ap0uIixJJJGm0B4iQShpXNcheqp+Dv4gZ/wCD/fnbfe+kQYeoZ/bmQuScHIloTRtG0TqWX3LuSRgH28MVNMBtP2jo2dmSduf8NP4Zw/g/oPd/bP4hdpxY/dMcuhFpoYhHjJ+aGWgqExrJJIS3J9OgQxVhkv4xdq9s9u/8Jeg4fbeRj6jDgfi/rmmY2qFEbIyMSEaosavMADIKVbJNEgEcVQ2ZNVOmKWu5P7xvjwlfDqKWqRM5ZTqFi+rSk5JuGAv167VX8SPxz/CJfwy1v8MfwT7B7g7Y07vTWcfWu5MvuDPglkeWKUTRYmKEkcemJURt7Mr7Qw2tusYWZIklWBpoxKwtYyw3EDyQPJA6+q//ANHj2ZoXeH4ya/Hr+l42fi6d2vMXgyIFljJyMiJEamBF1DLR/wDxfXqo/wDD3+HeV33+Hn4xf8PK6dHL3xjaViarozGMGY5emZXo5arK1bSxONHVgEuSfnqML0BheI10U/jSZNRNUElYUEgBgNLnr+a5jAvzsIxWiOdjrjLNyxlFJKF2Vd0DtCgigTtW72qA7jQYT5Ly5eVjYq4qq2TOSheCFm9MSMu4OYt7KjMAQpdRyzIrfcGjHtqD/wDSNad2JiaHps+iYGjHtEYjYcXoEY+ltml9m3azmQkFv1e2iaFdQ/wg/BfuX8F/w5/CPtr8Su2MfE13V/xjwln9ZI5mlwZdClIi31ZS49rqePUWQe4Uzd412aGp+GFTAsyptklSSW3Gl993LG4cYOD8QrnaVM4WLUMGR4i7ALlxyFAAwJJU2OCbNDjmh46vvbPdE2va1Bkavj4GXnLhSbdXjgH5/I9PbJCpk3BZL2lX3EK6Wz/oO/fO5vxq76178d//AMkGv9qdqYnbv/5ScbT4Fj7YXFyZMHH19FgIlb9askSBmClXDMPB6yL8V4E0n/iW7u/huNDBBB35NAkUQpYYjmIjexSNqbHKixsO4im5HSicRno8B+K8BkTJZEuY6grw3IZiel7jBbB7tFw0rJ9bFeGOB8b8msUd5WGceLeQBQXco3Na2YmKW6bHYNtUllRSRo2niOSNgyT4wAZhIhZWK/YEbgeK5v55s3496U+J/wAQPeOVo2RDkYEOo4u/T8eQZDYGVDjxyQSRICgxi3uVkPD+oCd+/wBufdsZmma3E2p9rPC2lZ2XJkNixQSCaJXxxvIjKhoXeWpWQrsIcyB9x39RnGox5BxbhxoKydJCnEpRBLWcWv0JILC7h7xH1LEOPl5cmj4AlYQxJmwSD0w7Qy+pA/FA1XBNijdA10Rx1kgzVzcLFKNmf+sHB/mVX6iGAK2GZW2lwSKIG4dPaks28vh5anNx5hEJ45SFssY6dR9b3VY5FrTbiZocz4SzNA8zKjqQIw0gYAggL5ZhXAANnbxyLZriiueSgfQ/QfawbBs20LZ4Tjvl8QKs9IN3u/xX/h5IKnzt8GzVdKnfEyInbEfH/MSn1BAUVvWEb7gAAAXG0vt5N7VoENZEx6s0P5XJgjhmw9SgMn5mKP1cYxIA38ugRyTYo37HAF31IzdSi0orkzhpcd2MoTChmylkTYX4C7mAoMfbZF0oFKOnOYr+AvUAAX29NvN/Yj0GOWljBy4WWUIof1eSyp7SD9aqjZvijVAWSCd2x1iyCsUuNjI7AFC0cShTuKX7AUBF0F5+AQBn+FqkORgz4Wj6ump/wpUPp4+T68gSiVCu6q04KPcbtas+0Fwdojs3bORPrmHtlwPy82LM8csbHnFyVeiR5BjLnet7lMTKy1uNcrlzHV1MtKda7Aehvgseo9O+HtLpPPIw3RE8yAsCAxA9pPyD9x/mOBxCpCqsCNBKB/MWqbiyhr4BIA4+BZ46hNnRyY1RZIhaUEiN2MbKbIKMWqjYIonyB9eu4sjGWbBeMQyRlXReVLA1wyn/ABAVf19x4N2zXAbw1AX29vE1pQipOUEnpBtqlgSu8qSDz9RdA1YBFmuuR5fpuMiCJqeo9j7trvYCU3wbO3kVytAsR0sO0L+mrKZHO0c1d0aIb45/vY88dJmjWX0hAIpYZIgfyxCFYzZtuQf1blXk7doPBBYFAq8Rhjn3793j2XP7AWSV8dlHrqxICKfYSfigpNkWPIaweBmS8TLLLgQzR5EKs0bQyKwQXtL7gdxHkHgi65PFTAFy0SPEM+8BZY2MhjkVl+Tu53AFgVb9XPI6YyzPGUj1GKWH1qUyxqp43CltLo8ml+btQSCQuu7RPKASW36f176QJ1HJaSB8xM6NWlEaTmV/ZOnuULu2spoSEqrKV3pHZ27gaHqPcWidvS5Whavok+Tj5rTxajFC8coHp1AUkhLpQeMKNxbd6bRAEqq+nYu5e58TtXImx9d06aIxT1jSQn+XLH//AJRIVVSwtleEEueRTRuGNc7iTtzRtO0ftjvbB1SDTpWnGFnDKizZtMjDjYiyjc0gVHvabuKlKyAX1Oi3zDy9+/2jU8MklOkLSSF40m5ADuGLnSwLN22AOca3n5er5YlysrKyBjxflcd8qb1JVxlZmiR3PLEBibYn55rwykbzt/KADmlcINxAuwAR9D/vnrsLMyLHDKrRT7SrxpasVsBlJ5G7cW22PiwSqkPiMAmF3jA/WA/jafvVcfP7dWAY9BtKToSGA94hA0qJklgz8TFn2qHQGNXKhj7jTLXybB+p56uXYWr4+g65h94arqkES6XlRvmISrZOTjLGHn2SMt0DErem5AJdEjZXKE1KMtCRPRYMx94c2eDx9j9QR/Y0eimDpc+oJnZEKxpj4Cx5E7tL6fopJOkSyBV3SOqtIm700cbbPNqrVOIS5NXTKp6gshQ0bX1kJ0h91EhIa7kaSCxD6eYszNOnUDt+vl3j7V07A07CE+VpGLFAM+Zs2Q40ez15XVblNAW77QbPJPnnnrK+4u4cOHVtYTXvz2LHjz7sPKysWJVsKoUm3qRLkT0ylyH2oyA7XlnaNq2Tmdp43aWgfiNoryYXbkM8Go40RxZ43ipo3CS743xzGnpScBkKSbvcajpms99S956Ge4MjEiw87T9KC5FYe9szJlmHoKPDiIRRTs+17RnFEiM382cD+E6hM6ZWzgTLQtCCQk60Bb+Esy1pDomFOkO12CgApOoTX8OeWtE7SpybKd7YIOQrYWPQjSTF1gSPUYCsjxTwMEZWTjcQeTd8Uw4Ioj68X1BfMhxMaPGbOM8e9sTLnh9siZBAYEoi0rPdkgrzIu0WwrP8nvrTZJe3szT8rVR+SmQtkDFUYWXEySL6Ej7hGswUgA+07ypA2OanS9zZv8fy3Cevp2t1WNmk7cfJWFAceRkZ9hIRJI5I/YVeRiHBjkGppfgXiJr1U8sEBOpQBBD6FNyuliSllAkJBNlBLW89RwachysWYliGuCzeenmGA4YjaDOldwaPq+o/wBs18mPIjf2xZpyRQI2TB73xpaOA4FbmT3FuFumjYU+BgYOmJkCWWERRGVgse9lob2/wgnyTwLv46x/K1grqy9pZupxQ408eN6UhUPHhuz+rDkjI8hVkRtsYDoDa7lSOQR6j2l3GJdIyMzunW9HhONkNAcn10xzs2p6frwyhDjy3IE2tRZthFFuCvxdw40ssKpbIUEnw9SlkWYKdSQ6mOlSUlTMllLQyk2p/Aaqfo8AEJJFr3fBdvmLgab7EOMaRpGf2Mdc0rL7lwM2QwZkC5VahC+KV9Tc9wHHMhS95KkkkGt3N9UtYgAjIPaQCQx3V4v8Az+nU3vM4On9vzZ2qhRJDA8uW0kdp6I4uVbvcoG5vqpYnwSaJH3Xj6pLjabi9x4IyxC8mRCTJCT6c0N+4rcZKuUZSSVJI92xiMrwvhM2tpxNlJdKFEEhJGnBJUQG02sS2e5ahxVFZV6Za0ABJJcJY3Sk8xAyAA4OCckEGLl6XtClTX+Hj/f8Al0B19UGXHTsAYh4PHk9Suz+4Ye4NGjzGyVOXE5gyEVSlSp7W4v8A5lZTRoEMAeOHdeg1KfKjnWDJcSR7gyIaPvb7Hq+qQqinmVNSxSWIJ3Hu3aB9DRzJFcqQsHUl8B/WCz5LxS4uO0TkzWquJAQjKt7TZDEkX4DeLNDnqQKul4HjaT7QPn/r/wBes+7x7zbTdd0WDTdZ3RQSE6ggmjMcqMB7QAGlMqgSSgKNhVWVypeN1q+o/i7rujZGrYMmp4GVl6LO87FdOYxZ2GTEf5W2W45I1mUlXtSEkYMBzHu6fgVXVoTMCkhw7KdOC2SNJsxAdyLMcmGT8O1laUmSA6rtd/mIva23ZiDgKIvX4j4Wbrug52hdv61Jh61Dj/nIIk2gzqDynvG2m27SR+klSfA6+ee8NX7l1nPxsfu/TIItVw8fY8xxjDNkRE0rMASpAKvRQABjJfNqNX7q79hzMHZl6dqWmaskEwiTHxmadkZQFyI2CgrFtstuCuhXay7ggOPazma1quonH1x98+nxthqqKdnskpiL8kncxY8sfPPHWz4Xw1XD+HJXNPMtyAwJSdWkup8LCEqSwBYAEqDEbj4RoZ1IhpyAGcgn5gTYsRlJbGAd4GCNfSJCOw/UaXgMfP8A+Hj+4PSZIw43g7lagXbggf8Au/38fXzKGPL6KzjHYhmWiR7rq+AOfHFff5ugkpIiGNoWLRXvCjkrxwD4uvkH/wCep3MbcLvYwyacsyhbNOzbqugea+4/zvpMar7YmixWBJjIlKKpVht27iV2qeb9wBv3WvUx8LJjkeELIJY03tGUq1IJ3AHzwD9D8cEcxp8WdIpF9EMEFP7eK8Hjg/6cdKCU3jkzEmwMIyZTPlPIcf029qSrXvLKArF7AJcsCzGhbM3HSNhjKNtok8MQKIvxY4+fP36k5n5qfJlyZUdvVkLNIE/SPpXyQK488HpJV1iKGIhqAHsPJHjk/fnk+D5rpVq51HNz7/eHJUyQI+mfxy/FH8R+yvwJ/wCH/tbs7vfVdF0vXfw/c6li4MiRHJ2JhooaQL6i0JHHtdfPQ5Ox+6u9f+BXsXSOwuzdV1ubC/EbUMiTF0fAfIaCBcfPj3lIwSqgui88AsB9L+etQ1vuLV8bCwNb7h1bUsfSYTi6di5+dLkR6fDSj0caORisCERoNkYUexRXtA6J6P8AiF+I+gYC6d21+J/emh6ejNIMPSe4c3CxwzHc7LFDKqAsSWJABJJJs89QOQLZjWK45JnT1mfq8Mo02YkWD2JaPqj/AINO3Mv8K9D/ABB7h767jPYeoah3X2r2pD/FMWRJxPDMMxsMx+11ORFmrGD+mnDcgGwv4MGTs/8A/SJapo+BuUt3Lr+nz2x90GTFLm0aPIJMLc/8g+3XzLqXeHe2pof4t333RnrLlJnyLl63lTCTNRAiZTb3O6dUVUWU24VVAYADpr/xR3f/AB1u7D3p3GO4HZXbW/4tkDUmYRiME5e/1iRGBHe+9gC+OOmMp7xbHxBSy5VPKlJU0pQIJZyLv2wfbX1f/hz7m1DP/wCM7tTvDUpVGZrHems5GUyj278yPPUqoPhblCj6ADr6v/GX8ScvvL8Sf+GmN4YoY9Q/EDWpZEiJ23p8smGho82RKSfoSfjr88cbNztNy4s/S8/O0/OxpfXiy8XIeDJgmu/USVCHR753Ag2W5s9S/wDxV3kcnT82bvjueTJ0iWWfTZ31nJaTT5ZW3TSYzl90DSMNzsm0ueWs9IUqAHp+38Qyi+JEU9PMkrB5lFVm3UD+gI92+je9NF/HrXP+J/T+8vxK7a7tyNC0X8RoNO0nVc/SDBi42mHXwuIiyrGitGwePazElt6+4ggdUz8fvww/EHSfx27s741b8Pe4sLt3/wAexZaavl4Egwqm1KFIpI5igUBy6KPc1s3miAueTfiR+KurGHH1n8XPxF1LFaRJvQm7s1CQepG26JwrzlRIkiq6sKZXRGUgqD013B+In4na9A+j9yfij3xq2nkwyfk9S7kzcnHkKFZYpGjklZSyuEkUkbldVIIKilUlZH2z/URr4zw6YpQPiElfiflyLNnEbL/xXfh5+J2mfj3+In4m4XbHcum6VFko66/Fp+RHijE/L4qvuyVG30943ADcA8QPtdVYZR21n50D4PaPdGlrqGHquKMvSIcqX3TelFvjihkZwCo2FQlj0pGP+FyGhah35+K+v4raHr/4qfiDqmFqAET4GqdzZ8+LlqxACPFNKY5FLcUQVJq/khjRtZ/hCjRtUj9NhmxM8qNHlNjwyFRk4zxn1Esgh1ABMcrNe0uxD06gC8Zj4jVS8QmrnUYJUpydTAgudJTpLsklzubgXN9W0nMk1V4s/D1CbNbT8yRMqVXfIVTuSQgSVcoUMF3qWB9IE+7ky9fl1WM4uXomNJk4kUj/AJjHgcAZKMpAT3A/zI69RENK1OLB20jS9L1bTUXQch5MtMKIjT8n1GCfl0cCNBJusNtK1duKos8e1+vavmZmFo+fPpMUD5+KjT45eLk7Ap2OxNEkqVA4BYRiqAurqGu148oJSqoHhsRgPhj1w2ezbXDxm+s6zoMuee6NP1cz40+sLqEAy9TTTYo8rZEVKRuWtpHhkZraOT1Fe9rMCHMnU5tO0PIytB71l1CfGy8fITH9DYcd/wAyYZI/TKowiuVkdCtRsiKXLNuYToUUAwchH1TNxz+Yx80z4rI3rIryiSWVJCEkx/SlZmDts3AAqx4ErR9KxdXys+ZBn5ebhPIM8yZCIqhkaKR5jLsVUUj3qCHjX27WCLIbhIa8bOZJkyRpWeWWRkAuLMC4YA4dLP8AmBeFZWXJ39q8Gb+Uh07WMRlyH1KKX00ihGweoxIEqus/Kgs7XLXOwKb92z3Pp2rxR52k6kFylhiklhjf0pcaWx6q1uAChzLRU7WFkEij1lmHp2DqOdiYKabj5BfHeEyRzvEmVKp/ly1wEcjYvvCiR3TfTWx0zRM7T9TxsfFjx4FytPuBcpcIRQiRSC0RYKjJKA6B0K7WrcFCnajJvyiB/GZMtMpMtKSycD/iL5ySCR/4sNsgWWLISKJ8XMhOUjFlhLpsdCootZ9zBizbhQCmw2357Fi4WMqCSeJJANzbSaaOgbsD6E+B/i48nprOhGjaTLlZcEcc8DpKztKNyRBkAtwSoNWQB9b+gL2g4Yj7ewp8mKV5sbG9B44lWNIvRbbtKSAqGC7LBK7hua64FXVy6oySmEvxAbEt5lnfo365grFNkAxb5EYYrOFaQncqWo2kmqBDFSCBVr4rd1JCJPEGLukMm2RV5YFyT6j7V8e1T+oXurj56H4+m5aYEz4eZDBG2OZI8thtVKBW2uyvyN3IFlhu4sb3J3Hk6FrmNowjwcOXMikeJspN8TTqpqJvfHGjg+m6B5FWRPVW0ZFZuQ8wsIqIkGomaJJc3PoLm3truBmLhDubGx3LiV0LRetGxYFDxSs4u+D7RQ4I54piAZMImkmRtkxb+VYYqxJ3BGBK7HPNbR+o+f0CJofcukZ+AupPNCkMs0kAMSM6NIJCoCGtzgkCmohwAfaaQR9Tz+4BoGoTYAy1z3x3mxYjirJMSYyUj9JmVSQxT+XuTkhSynw0lQUxiqKeYJhlKDXYu/X9t/4h3uCTSlwVxO4NNxsjAzdsE5y/Q/LyKbaNCshpmBAZVo8oSpLUppveqx6zF3DovbvqPq2haYHfC9EzIIjUqRPjhW3+1YyjhZCoaQAEvskiY/4sanlrPLrn8ETCyIEZ8WHIaKZQYmthkSHYX9aOWP0mQBXWJC59VXatd4Zmkdz5ump27MhlVcmB3zVTFldnIkWPdsSlVjQ8RATBQQUfbcly1II1RqeGcJqKeckThpa75SDY3GMDScAuCCQDFe1jN0zUdcy8/HmSbGyp3lXK9L01yv5jMXC3uG5So3P7mKl29zMzCseJo29OaRVkjURr6vI9o5UEfHg19DY4HTsT72DTBzLkAFqILbvm91ixTbgSAeDYrcZeHD66hpY4poniQxsyhYqXcKpq20eCDYAHyvPUwU8bsNTy9IwGH0+3uwEQPTBJaCMoqjYQHB48EWfi/jj4ocdKjK47K3qrET7SZG9JQGpWtjWxSDTEsAPkjyJEcKuJpCHJDFwynduFkkjjkj+vkD5HS58JwyyYz+orMDtA9z/UDxfg8c8fueuBh6ZwSq59+cHodVwsPt3L0DV9AiytU0vU2lxciXNMDYyPHJDkJ7P1FJVQjlgHmZ62+puamzGhycXUdMnkx/XyW1GCeI+kI3ZJEkKry621keQQzAk9cxxiagMPCEcq5MUDxsY0QxM8aD05QCDtpVIk4phGrimaQ9e1VIPWXMxhlIsrs7iUqQWqyoKVuXa4ANAHa1IOEWvQUn4XxZyNQ8QlwHKQQWUS5UBqusABOrUSSSCkLWzTUIShTEJDZyCO4GMFrBsXeF4eunHifE1OPGzcKZiJI55GWIhotu5CaihZAhU7FR1V2G5QAyRs2PIxvW7fz5Gjf1A0sc8oeXewNl1UbA7BiTwAS+7mxTONjxhoo8hAsrXGrNIpG2yCVbkBSQU3H4rwobqTk6b+WmWJ8MxD0oJJYphtlEhjHq+w8pUqSWrAUpj4IYbr8jWhEzQbKZ8kb7XDl7lgepYBhg8NC+W2/wBDZrtby+gAhPq5uZErQ5kuT+VEhiaRllZCy2/tYNuB8tuBBF7uL6vGHmdtTaSe6ZUh053Q6dlYKxY8bLlb8dBLjyA/miUx9khjferekqE+2NeqCsZiY5DAyRAHcBJ6ZdbBK+D5ANcML91GurF21FjapnZuoQr+Vkao4kijMPpFkk3pH7XBkO0bIBG0g9QCJ19itn+OkKlonzlKSJZ16kkO9nSXNte6mcNl2gjw9/EIRuCGy4OQ256YN7bg23ROyM+Pt+HTk1fs3S/V1Kb+M6dmdz6XjFopIMaOLHmx3nQmVpMSZQsyqyxxzKLACPXotcOqaLp3bmeI/wA7gZazYLTZLpM04QI2NvktXaYtkqd0ptJVQBiW2cl1TSMfGPbqfh/gajHK0EwyMvU9WjkyhCJ5IJv5ObEsAkSaU+mqIv8AMQbUJVFrGVk4UT4TesrHEZJpsl2JiLxzowkuzvC/NqLf9O4hQpYyUT0iqmjUSrWCzAqVqUTyq1MQohtZ5SE2dRKcZp6CYZaacPM/NksQGBuE5AI6kODF/wALIkx5d+DqmBlQ6ljU+RNo+pYss+UX3IEWNJCsplkDtINyptIjjBYlhXdP4gfiZouqLh4+fBq6vjQZBnCPJGGkjVysQgeONI7bcAAwbcZFZlkUmRrMKYmkiOHHzsGCT8rju38JxZY3VVSRERlhBljCxwSHZkMvqIYiEjMbnPu58BxkYi5eRFFtxqiSDNYkR+o5XeFZgrc8A0Qu2xdkg0UUqbVmZUl9TpCSEqbSBzBSUS720kBLKBBBs0W6WgpkkJQgKJAckAuHP5cB7Es2ASPliy6oNL0HSn7UeebF1Q5UCQ5GAoiXV4ZJk2SyDZtDxKWR4ndUcREEs20wMv2727Frn5DuTUM3Ik/L4+r6VqWn/lwduOzRNjGKPagH8pXjkQI68l9u196dWwuzMvOytIxcrOOXqkQy4sxI2/NY+U0bxy4TpMEd95SN40b3JK5VWXejdDdVyMruKfI7kh9UaeMqaTFTEZd2NLM4PpsR7o/U3swcqVkYFFO5wOtrUSnSqRUHUBYFJILOSon/AMgFWIDObC5EZ6l1pIUglJN1FQY6jpYDsVBinFlD5dEa9+Ff449gdn4fdmT+KP4J4X4jyHX1y8OTJhxZTpUBW4FE8yldpkafaoa1INA2dtxn/wCJ7/hRDbk/4ItAmDs0jEafpYZfm2BQAseT7Sw8G+evltdQEWU2ZFPK00sDRZMjQr/MkLENaW4bgLZBvcCRRvr0UweV5Z1Qs21yBEBvoqGcqDSuaJIBAuyLPkTNMshxknFmHkxyzBmI6GNpQ/EVfwyQmmkBIQkMOUfe17uXsevWPqWX/iS/4WEhfJm/4F+3zSiVguFpDMB9/Zwa91fT9q6Sn/E3/wAKMylf/wBR7t32gbt2BpW0FrWgfT58gX/7ua56+aoMWGeNS86SbgIkkjDttA5FkUSAw4DA14JYdR2RZsBAcSQ+qrBRB7mB2sSm08nkOVrnngXw1dhtFhPxrxQ2JT/9B+/rH1Gf+Jj/AIWTjrJ/+pD248aL6igYekmvfRobP+b6cH+oJhj/AInv+E5nRT/wN9tFeBYwtJJC3XFpXjkWQPv9PnJMmCGNYziSzQyn+Y605Dm7IFcKdpIYUfaQfcjBRDtKI/SDMUJ9VdxBI3fIv/UD4PF2OkZIxDpPxnxZTglP/wBRH1I3/FF/wnEGST/gZ7f87T/5DSSbB4B9nn7dck/4ov8AhRU/zf8AgV7fBsg/+R0hqoWTwnx89fLRsvukYbivv3C+fFGyPkD9v3HTqI0uOG9uwECrLENdfSvtQN+DQBvrrRMfjHiaclP/ANRE3vLU9G1/vHXO4O3dEh0TR9Rz5srA0uJI1jwMdjawKIwECr9E444vnod6EsYIaG6atpYG/PF/Tz88i/pfWxZH4IdrYX8G1nUO5s+LQM3sWDXMp4mhbJ/jz4ONO2BGpH/p/wD7Qw5gSpPpCYFrUutJbskaZqWo6drmsYsMenSzYLSqkskccyRwyesR6W94FilewFEpK0oBG3pnipSATFap4LxFczUpIdRO4837RS3VWX01TaU5HP8AnX0I/wBfjnrkHrpJUO71ASRt818n/v8AH16vmu/h/pmn5GoTzd7aFgabp6zpj6hqM2TGudKupariwoFGODAzR6XJvMoEaFN7SATJHGuX8JO5sKcYUMZztUGVFopwsdZInwtclnxY4sCdpo1jJYTZC74mZN8Eg3Ulu/xBmEPAOIPoCH9R+9/t9rxQl9JhtDiMgbgxNWCPH0/b62Pjjpa4251jb2mVSU2EGzV15/oRwRfWkQfg9qWfJh5WJrmmahi6qY8TSMyKHMji1HMkyDAmJEkmOrI+7ZbzKkPpyxSb/cygjpn4FpLr2m42r976Nidtzavo+nTZwbKjyHmzsh448dIXxfVhmdYJ2WWWMQhdjsxViAusRAng1etWgI7O4I+x9f8AYfNWhWGHE/MxvvZjRRbr2Xt9xotfAFV8m/HUbIeKbblLlB5LFq61IRySzCgoN8GibJ+tjq26NoBPbeoatrncuBgYmnyejG+fFMn5iX0pJvRBRJArBYuZJCsSl4gWt/aX1/8ACbPiinxcbIgzdcGRDoy4uKssIxtck1TTMP8AI5MssaRt7c+X+bEzIXhanpNrp4qWtFWk4RXVK+RDi7Fx1OxvdmjMZG9UIkjllhj9JA7EhI9zNtW+Atu5ocWzH56mabqkeDhzafLiRPDNGI4ZVRTNguH3rLFZ2tsYsxjY7Xva1gLstj/hjkZeT24+hdzaXq2m92atpmlaTqcMeXDDkS5uVkY6ErPBHIojkxmL2t7ZImUNuIATvHtR+0MnBwcnWsDNzMrEizZoMUTlsNJY45YVkaSNFLNHIGqMuFApipIB4TA7AxNU8IqpUoqnoZIPUZ2a9zvaNP7Q1vR8rsR5dMGDiw6NhvBLjxzSbcaWGEmi0+16ZQkitIQfcdxJUk1/Xe68M6bpuvx6ZBrmHlGTHVmJhkxpPRETgIV4Z0cxuL27tqmmIBo/bncOR222dlYn5r1Z4TBkIYoZsUY9cPNBJ/8AvCbmKH3welYBfbP1D/MOkeXp+nz5Men5EoZcd2rcEY+kWFsA4U7SQ3IsEkCuo/CCVajvGOl8BRLqlzCSUkuHJuCOYEi7h7X5vzWLw/HmafHn4WZp+D+Qx8STf6rZQiyGiL7wHmBCmRKZFlBDNUXG9R1IbUzmgSZwfUJ4txkyMljuslUMcygsZFRyoVrVlBcLtHp7R0kSIVV5BR8keN30v4H3/wC/Sw7/AJj1pHSRqUM3wy0Fu/8A8PyTzRu7I6mCmg0qUk3H7v8AXO/X0Iw+pRJI5p8MSKkgkMBlvcLJKh1sc/DC25BPIN6Ppev6HpenxyR5eU2m5aLLjevLu2SyOFZWY8xhWREZ38MWY2osZ1krLsWMipK4Mh9tm7HPyf3P2sDiVHNPjx+/MebHaTfPiHGUxu5IPLFlMbl0BJo7huY/+oylqmVYwOrqRFYlIWWD9/tm/QnuD1Gr9y602mTLgaxpefBj40uLMmqxiOSKFxKdntB3KY3Qp7lKSBGQFWZFaH2/rWRGJc/DzRp+BruJgDDxYJXkyYJ5I23CLGZd0m1EZl2o6FYgOIo7FN0+XB1LDmOo68kWmopQQtII5g+1/TZEG1htCxj9Z3bPTuRWJWBo35nEwcTVMfPyKOSQcb8xH6crhxJ6eJE5B9YI8YYAbzvfYJ1DwM1KEkaIDI4TLTJVJUeawNix3wX5uW+QBYAAkDcNM7gyu4dA07XNO9DJrMePI9WGaBTtLRvJEGG5W2knaeKLoSCBKlUfVcaPtzAwpsuXFxdIx1jyhhtEj4RlihjhyPRUe8wmRPYY2RopnYgsoQj8mXUMzFXUdQlhytUwW342VpcErF4XMbSywrbOrRuInJjq4hJujY+w01cmXV9WxTh7/wAxsPovCscj5WMPXjmCQxH0zLskYxoRR9IhQN0bdMlBsYijQ8KlnWsFkgk+WWD2cMTfTbJSWIjSu38XOyIMCNNTSXAhjjw8XDIiaHKgBVly1isyQt6qTNCUcB0x0G39DK7rur6XqnpZ+ha3BFqen5suNiYYxguW0qrc+OytKFAEaJMQzodijedjkdDuyNFTCyMA5LQ6xpnq5GBgfmMZ41WKZmmm/lyq8TxVEJBtksWyXahBZu+xh4HaWp5cWmJjS4WKkiZEESY+VhxwKHBikO0XtLpGFYBSwXxZ6Ra0pmAHMUZ6kIr0yxck2LAC5Z1Ai7/mwcpBxGUdzZ2l63qc82j6VlaTq8mW2WsOZNHjzIhi2BAzSCPIeUtH6YQM3prt3lSqAH6ePrsWVlNrWG7wxyzokiBXyUaQNuXk7yTLKzMQzBv1E7yyWDuCAY6ZOR3M0usZE2HHhY8zZEcbSY27dDM5WErNGXgNKyRzRSRsjs4ZHQHk6qDHLDCXyGzcWOHPGYolZ3jj9JciOUkSCQoSSy7WDWefi0otaNnRuJSUy9mALv0cObszgOBfc6tUQoMd8hSsex0KMrkMQyxsKZxX6gAa2/JHivBITUgyMTHxSryF/TWQhfB9wB+BYDeBySaZqMGAflZCskZSbd/MeV/TQIQbNbSK58fQg2ACQ/jnM9OFTjxtW6NY5JVqQKaBYjcpF7lKmztAPnwgVFubzHt55+8IKHlo8bbJE/DSCm5HK2P1CrI+aJ+COpBbHEspQsySNccoNScHhwfnxzfmvih0qDHGLHuYtbIE2sQCSPLLyboBj9QL+hrxiCxvjNKVQiiP+W68V45sivr9D0rxCVBRhs5LRzwmaBx6fpzq0SgA7SCKUAX+kcj+oPIDgdocWJZcvfBEwVH3HZvPyDXBJ5N8jnpmPFiMdTTSiWNiCFbeN+7/AJf1DxzV3VD3cdKAdmdMeSJHWQMUVgKcHhkPg/1sEfHSiaoAJGGb06eVh9LQqgFH9f5hRbahEjvGkRNig20eOeR7Wq+LA2kWK6XH6Bd4oUWMV6boBRU7eDXwKIr4r6jpMrGMD0S5aQbFQcKCfJo/A59tj4+3Sf8A0pIVG4UhMb/TafBPJCgAnnjyfi+k1w1nEOelG8pyxGbdDb8GiPaxI+4ZQftfxdKjgX1V9QxOWKpHJIVJRTX/ADCqsC/PFG923piCRFnkTY4eS2cFRt3CvcBfHya8gVXjpx2V29BUBBU2u6iw58fPH9/8z05EzQQobGOOoWgvqedm5WWz5zSSZ2ZuEksn82RWCqVbepG40zObBBDKWLMbEDD1BsTPXMaBT+cLLPUrn1o5CBIDQIYUBYIYGqIPWv8Ab/4e/hHrDdraL3Bnd9PrOq43a0U0+DNgR4sc2t43rQhUeJpNkKimttzUCpHjrEcfNbUII8sB7yI0ldQ/G4qCWPwfsTzwSTzw9VYiYoeEGSPlDBgBgNi2LADZgLRfr+C1HD0g1RBKndi5BsS/16nGYmRy4kWFHEFgnBEiqYo2dxAwJXHZtgcNuQUxv9HiReAG1ZIjkqMjHOSVQKsgkC2oJr/Cf9fp0RZ3RJV+JAAwCBiwBDVRHmx8EH44BboXqWwzrxZ2c+6ubPVcsAQLP0cffJt1P0h1HNWuaCovZvT3b0h/V9Z1LufLbP1fObMdIgqsIkjVIr9tKijiz55NkC/AEeSaeUTP6jLJmRmOc7yRMbDNvHG4NJchBFW3zV9cb02b27Su/wBj2K22ft9OeByB0lYmA/5bqrF+L/8Akg8cdNXOmTCSokk5J39i0LoRL5EAADAFgPQfWHMzIObP+Y9xYrtuT3SOATtLsOXbbQLEXwB8X0/gN6I/NRTWV9syleQoIKleObIXyf8ATmJF6kTLJBKdyG7Hx8/7H7g/Xonhyh1cmCGLcKlNWSbF/N1f+/JLVTCslSsmIZvKjSMRKZ3QM+KyGWTyCm1yCxIHghuWNGvkXySevOpMQkxiyzMnqKTKWBdvcCxrkBwCCADxwLtR5iHtbHLgl6tfIJrjg1fNcGrBHhyMKpc2QkgF1yTz4F+PPXaoou194clTFRZsh4RJuYb6UDeWIq/pdqb+3J4voPlafGdQKYz7pHLMkDEK7EliF58MygUCSSW4skWWdt0D4+29+4NtIO0seQB9efv/AH6hzwpPDkmeEI8PLSbrVoyQRybpfIF+PFEXu4qh0hRQc+9rQMSWAARNIHHgKykHirJHwRzXPPIsbrDkwKvJBjwxhJF5RRW+vaN5YkrXIofHxR67DFA8RyJ3QSFgUCybE8+SpokE0LBuySDfU7Kxodsebi47CNXDtGrCNwTY3q36L4HihYB8HhHi2qYEqb/T+/eI1DXO3Pxx0fQtFwT3W+o4U+iYWvzY2N+SbHx1fTZcfFgjJIOZkJpKSB0iXeqDdtlqPINT1+Dv1MBNH7n1FJZcXR8nUZI8f8hIy4gxhLLNO+KvqM5xYIpCZycj0o0J4Ck2fu7XPxg0zR+29H7h7T0sJpvb+na/pXpYeU2To+HBjDBxdRlWORfTkeGGNysxaESJGxWMxvG8LtuHXtD7vwO9+4uzdSx8LS5MTWNTw49FORizaf6RgaJlyDtXGyIklgMzuQA0jD1NuxonGDj3tG54jMl+LLky1zUhRGoEkaRYk3B88+bQptG/H7FkmytMky48z1YcaSLHg0qPIG+dpw8MK/paLI1di2TjIrQPmODLFcgRHbH4f/iV3dk4On61qONpeJianiaJDIZMGHLSaTU4dPIVYTHLkPFk40QaeRzMBCgWUqw6Tput/iRj63NrvbfZWPN3GmXqWI2ZFpOVlZ0M8uWc7NxYVR/RsTvK+1oDJGk8y2qspSMn4kd9RRab3hJ2TouHpk+VJn4WXFgZn5HIyxqS6izCWTKZpHGQj2gfb6TFKDIrddqtEwq6AytRnTiOhKhuDkJFwWxbFy8Qe69S7z0jUMKHVNbigmbHxtTxn0+TBTHKxySyRSwvgqILSf8AM7niIdpUkLF2jI6ag7//ABH03Ikl0XuFMDJAimQYunadDEZIpTJHLHAkAhEqNIGWfYJw5DepbMSjL0Lup4MbQMvtnUsXG7R0Aae0badNFk4eH+aysoy5SuLQh81/cyqhQLVm2aRpnZndOXHFk/wHIgiXTc3W4pMlHgjyMXEx3kyZIncASBUJNKT5QGyQRyVgJ5sxl6mqr01SvwSphBL3d374wSU3hjRtd1zt3Gkxu3tQlwhMYQyrDDM6FQyq0ZlRmhlVZZVEsRSQB5FVwGPTmb3d3Pkz4n5/WC8KkBZ4ceCGaOT8xjzRzl4VWR5PWw8R/XYtPeOm5zRQt4mj6xqcgjwNFz8t2jLrFBjM5eL1PS3Dbdr6hWMN43UppjXT+N2F3pldxYnaWB21qs2p5747wabJgSRlIpZFgTJdWUmOESSqTKwEagljyL6kJTA2mqeKzEiVJWsg4YquTex6vcd4Ejvv8RdI1KPVYO4Dj5aelFBLj6RpyRQmCaSWL0YVxhBBIkryurxRxy3I53H1G3CM/XtQzo82HUpYs+TJXBhGTNjxiaGLEQpCkbKAFX0yqmgd6om4ki+iUPbmv6jFhzafoerMuut6WnRpjuv514uXTHGypyu3kIdym74uw+crxBsDMw3xsrGlK7WQrwCwZXBAIYH7Dww4PHTeVV4IzOIcRUGqFK9X3HfzP64hvS89NI1TF1RcSDJkwhLNCkxdVWcRSembQgn3FQRwpDsCQPd00+15XmigkIJEjJGoQR2fcAACAnjb4ABH0IDRFcnyvHj5+nT2M/5eTmL1Y3KrJH/ziwaH0b6Hnk+CCQXO0USkP4m7AegJP7mJG4e+t7BgSrhNpdCaJFeD7RxZoqws1x4wjb6dg8EKUX2MpBs2DxyB9uf6dTYcRcSWIajjB45FUkZJdP5Y28koTt4NHcGAN8N8rrP9KNjI8+3lFkQlrO0gEUbBIQbbIqhQW+leKhnX5cdf49iIby+pE0YgjAZgxG8imBF+SSwrk18+BVgexf8A1wRksolPpsTNs3RgjcoJoCvJD8ChV11KzMNA4bDxpTCFEvtIIRtwvaN1fpCcj6mhwbZkWPaZJJQjpbNGslEDkHaaJsCq8/Pzx12qOC0qTy7wnIggSFnjzA7SFg6D9IKt+o+CLJ4NWFbkcGyGgZ+NhrNo2tQZWXp2pxpFkRY4Zijx20cmxZE9QEBQw3BgUUqL3joWEZNsoBZ4xZZmoSEceQOCR9yCA3/t2ouTIiRYkURkbSyqabz+t1FnmyaPkV4Fddqjly/FQUKNuu4OQQ24YEeV94vmVmzLi6e/ZkIysrU1fLjLTerEuUH/AJ8caTe9pmjQOHlfcb2FFeTclN1rVo9UzMnVp8LAj/NlHkOISIzPYPrbSxkjZvTtgbbkk2QeoqZEQXGkjScS407yS7pdptjD6bIbrcrCZiD7aoWwbpUhjyAWMr5GZkqzuLYPJJKSCsgcBRRJAo1uIa6A6a7XiGmo00ytTOb33zuXwwDd3N3LWPtPXNd0nJxJMScPhZmW7pjSwh4Z8uOYEmFI/TUyszekqo1FpuUoowsXcv4gZs2iZcL6AJcGDHvPibAkjmxsdpNkeSE9eUTwCRZUfa6sDtU7AHda5oOp6hpHbeodrP62DkZeoepkiXDeaVaRAgjh2sJSJVhDAe8idQhRqkWR/wCH9RTtbVe7tO16eHGfc88EOGGw82Rp4NzRszj01Z3QFwhRnxHdy0eyNedCi6wO0DJ8imXVCbPSBzAJN+Zza4Gdhc3AJ5XECdRxNZ7X1bVe3pnXHMUi48iwyCeKWL0hJFUlBmqOfkVt3FyBfgbj7JwkuQHZiysNm0ivm1Yizxdbl48EEdNHIiRGEMYEGONmyP0XCk2Q/igL+aU2SSR564cwwOMiNBSD1ISASCQeARQ4+Oflfjp2qDaJSwm7arORZyB656OWEGMSJpQsqv67IhTcsZIjYLdhvkFXUkfckXz1HXT8Ij05IjAJHaRlR1KxkBAxG3gA7eDxzfANgNYOTJhzSyaXiSZkDJtyFiKKi8lk2l+GYFpRQ82PFckvRf1WE2703cNDNEm2SOgKLA/qN7vIHB2kVR6UKissqlKN7ff6bde4xmOepLkKzL4kdfUUG2Bv3E/BA4YEfccghumy0rMY1MDIrNHI6ndtNcWPjmhRvgit3JDH5zGyVMU06hsSK5pIMkwq73t/U1MOQ1Ani1JY9N480UwaIoP58QSNlQLGWKggBlZl3eyivAUrxYFt2p4QSikFw3v+LwtlWKZvVmO/1CS21f1eD8AjiuPqPsT0uXdIojVyD5p74U3YF2FJah/Xxd2mQnI9P1oZI1Me57Tg1/yt5A8+1qr4sclcaepRi27ciNogP1gK9gPfggXR4P1+3SFUONgCcwp3YqTOoVFYFzVupABb96B8eaJHPPXsqNmUIJwrqSyC7FX4Nj4N1/X9+nYceSWN1fGELqPbUY2N43A0fcpokHgqSbJs2zvlrccQsxkMZeImwL8H5HzZB4+t8FdUMBvbaECLbEcrILmSL205G2OvoK8bT5N/eqJ6cVo2b05CPUHJI/wiiOBxzu2njxR8Xy/QBuJQyuS1qb9pQUVHj4WgK/VyOmRERL6vqrsQb2AU/IIP78HjwACPNdc8dqcX99oQU346mT0zIEMJkJLe2hW1vK1S8cVVDxXSIkMIckSbhQdSKNCj4+ar+1/euRS4+Pkrpb5WN6soMgiY7JnWttbT9uQao+7qQ0TvD6gI9TaTIqqAGb7nmr+fPmufJQKh5JFlHMMbWQ2qEDaGj3L5U+CL5Pzzz/16lY2LizRbsrBx5yOFaZ5FIX4A2sBXXIYHjlAV1ssoFLdt/wAvLHcf3A83zxRbSseT8uyqJCA5FhyLFCr+bqhyAeOnAvEtNMHiWimxY8rSvGWDH9ZAJNlbrnj68H73RF9LMLFROAWivaxXnd554B/of/rqXiYsokH5hQJ0S2rhnoVZAPkMOT9q/fixvPGJAJHlV1HDElwR8E+efjzX1HVfVEq53OYgy/rVedrcAseQDVH/AF+fi/mujGJimKEGMhhLArKFHIerF14Fk3R4PFcX01Cpj9HIlAmw3Bjb30YyKHzxW7yDVcj/ABbjMhiix9xjn3Qkn0hurYQSGHNcjwRxW2qFHrnivPmukAe/7EeETstRkIa59wIY/Fjmif7c9OxRskaqGA2gE7+DXnxxx/38cdcO/wBUDZW7aa8EiuD554N3/r0tVAFIAT5IJ4rjgH45vn/45UGKalFoSEvhwApALWOAOL4/35rjqJn42OUaNlYkMs6+DGNpKgXdV7rJ+BzfnqaZGDIrohAe1NUx+1n9rr6g/PSZpGjudZREiKSWKikqzbfB45v4r+o7VDpa1JUDDCRFaxsmJQ0BMpV49wkRqqjxwfB+fBqiD11nbaceZFJAG5RITS2BW8jkWAL/ANOnI0aOFBuElKfdVIF/5a5O0XRF8gV9+liKWE47K3qJZUA1ylH96NgEUT5rkeO1RxUI03U/xZ1bJ7V0JdU7N17Gh0zG0vE03NiyimPqmbj6UuL6OUzx1JjPDeQI095SSVeUnaRRnb/4uZuJhZ4C6nODP+a09d+FNJuGnx6eMXJbLxptsYjSV1aFQwE0sZVhIHjumt/jLo2sdi6Boul6ogyTjabga1jT6MjRx4uPpJw5Y13QsgY5MfqBofcYpIRuGwpEB/GHvT8PO7+3e2sHsLt7H09dPUrHGiyDJxsYxAHElm9OJCxkO+1/MWymT1ozIyNCVP7/AEj0es4guWgzpFaklCRYpS5JLbdm7hm7wzlfjLq8ei4Ec3b+Tp+Bl4B0/L1HTsTGMuZqkT4Tz50Qy4nhkkdMDT0kjJDIZDKG3OqPVNe/EbVu5Z+39WaXMw8rQJGzKGoKrfnpNUytRORHIkSRxy78pF9QQr7og3p7SIxo3d/4jdst2vDh4HcOHq2VBHqyYMUXbIwBiY2XmaMIMMbofTEyYGLmQia2K7VVZWtGY3J+KP4RN+JOj906Xg4mDpmlaFmwYqQ6Y+6IyT45gw5t2E9NHBHkKvoxuA0jr+bMcrUpUCbn2f4iSatdUjwF8QTpTouQl3cHIVsQ/a14qK/jLgYOqnL0DTdRxFxIMCTFnSDTfzOTm4q5Cq0qSwTwY8ZGY6j8vHS+kWEZOQ6o9h/jVpunfhpkdg4PaWSJMzThgyZL5MSos50XK0rctgzSrtnjmG9zVNCoRURnJaD+IX4d9v5+ThafiaSukY+oI+E0vbcEzLFJ3PmSTkvJA8m06FkRwhS3CkxoA4PQfsvuj8N9Fyddw5YIcPAn1mPK2ZmiDOOpaBGZS+jxM6u+NJMrw07+mNyKXlUxKG4qYkQ1fEKqXMTLl18s6tTkJSw33LMepa3UtHuwPxFj/Dp9M1fI7G13Jzv4U0UMv5hY8WfSRqyaq+UiGL1GIMEibw5i9P8AmXwR0rSvx1yNN/g8WZputsmla5j6+Xw9ZEWRmTQapm5seNLK0bXjtHqEsUgqyYwQadgBuf38mV3fpnconx/zGmdkQ6QGfTYjF+fXQxjbTD6QjdRlO4DujJW2jsVQLAO8+w8x9Y9TLwnxtXWKbJ0xdHEcmo6k+BjImWuRsrGTHzvzMzIHjUj1NiSrkFVQKKSQIgpK2akCRT1qUplkpDpRcMGVtuHO7CwJcGkH8T8x9A0bScSDNgzNExY8FhjS4eLApx9HyNNxJ4pUhXKMlZRmO+Tah3opcOGhz/LEU2OI8vKaPNgjolo2Acizf1skn4HPN35+qf8A8oP4L6D+JmvYWpafoWq5cGVqeHpms42hDFwNMwJMxRHgbIcWRpikUU8QyI4JVKzKgkZXdx816xJp+flZ2XpuFFjY75jzRRRqFjxInkYhVS2KKFZeAzUEoEkBupBYwN+Ipkw+GqbUJmEKIZIA04clic+8NFXZiW2su5ronzY8UR9fHz+3nqTgwumVG6GMBCBterFt8X5o/I58fXruXiS4U6rMBHZBO7kKfkGvvz8efuOnZkmiJRIFYn+YnqL+sAkFb8j4+39xSvAJUwKSNO8SVzMeZopVTIjAKhvad6sF2rJtq7OwixdFasGl6j4uRFNO4jxwQqrskWQCnNFQ3kFd26yfchq7/wALU0MT5Ec7CWNaSQLKTYo+4+PNIt1RNWCbNLgx4MqXe8Ec9xMSjgAf4Ws/Uj3LYo344AHS6niIIQlMTZJ3kjZfVaF3YMhVWiBcHkjd4C7T7r+DY83C1Sesj1scsDKqyneV2huACDz7fHPNCvFWZs+DBDjiJopWHuG53L2vApgSQx2mibFjn9omnCTCzngx5VR5g6bm53xhg3APBvYNwN/qZT5vpHMMlFAdabtHpEXJnGHiyEIYi0TALuLC6DLdj9NHkkEseaouyxPXqTJB6ciOZC1qyvSA7VoXyOOASLY/p6SqLPvacVmGS5HWcIxk3koVU0o5CgDcPgXTbVXkZQyoWWN/cT6oMNySgkqNqj2mwXa+QaDAWSAVeOc6gB77+v7YhvDiw4laQ5EKqCB6ckJI9Mhw7vtlXdR28IFNkFiKUStxRejFkkCP1IaniG5mAZWWxvABX4G7b4Z9wuq7LAWgnzMWUtPEI3RgAok32XAVbCuCpcEGqtSrA0JOVpoy8WSSGMttX1VKe0o9EowvgEtQB/8AeV43bgmqHFYBdRz/AEe3X9o5i69k6fqUOMk0TyY+o4uSk2YWZEYGmEgDkPGhkLj/ABfrZWBJLE4O7TLous6fqWFFHk6pAZIcjExgAZ1ZdsMoLUq+3ari1VZHTYQFJrryzY6H1kPrNK07iVRupyqODZv3AKQy3QkAu6JVLBEMWSOaNY5Rz7UKUQbYCyabk8MRQsEH5SxhsylkzGKhdxfyIL+TsekLwsdUR4ER95LHHdHUORtJ8/AB4NhhxRvgNxMNmwXx8qaNHAY7gjCNQDY5r43E3xXI5o9StKSSaBTFkASSSlnSRdp23RFKWAPHBNgEm+PEhZI8mNXQ45c0dyAgHmiQfPyRdg+OSOArxy5qkrPnETEx58d8aZIggkRkyOaFqTVfDAqE8i78eSSTCpvVNp3+oDYs8gED5rm/H1v+qII41IjDEhaKqx31Q+p5P1F8jwSavpYR5NoHDN4BNEEmvIPi/of78dOBivNXrLmB+PpQx2zAJIpIMhUeASIA6ve4qR4ABBHB91KaUihPeD1lIj/lNMWEqKPYQavmjZ581+9n3dOxLtVqCnm1QfTgivN3z9OfgfHom3RIm8N7FCNXj2g3d3z5r7eT4PBUMXNUsuT7b+v4iNNs3RtDlSxNG4dgOQSBZJo8AgXfHxwaHTcGQuU4RWVYzbSBmBG//m2jhTbKp+u7cp89PzKsyoSyuGVrZh5A2+3xYNWL44/p00rRrMyyqBLEhRhQ3Oitxu+pA+foOkeHpYpvn37vDsxqArEWQgXRckhuQVJP6Rdj+x+KLcEbxFxIzAhgQCQCR9SB45+hPjz8dSAaj2owWzQ5pfNXVc/cWP79cLKGUlNxQFTTUPNkEfSz5/bz888RhRAaGmbc1AsCxKigLU8kckWPH1/oeB0l2HslJXbZVhViuOf/AO6/2JseB1twX1LAO3k7aBN3RF8f368FlRTaV4awaN14N/Xn/wC+el1Q+0al2x3rpWjYvbmlv3W2P2s0miwa9244lkhyETGkfV5smBEIllkyYVWBmL2uRBtaBYBsyyNmWJIpfU3emq3u3kE0CSQOaPz8+fF9LWVQGC7a8mvbV+eOK8VXxRJ6VsMiMpI2qWsc834I+ln5NeQOOD0xPLBPiXFpnEUoTMSEhOGfoLByWFsBheEBvVZfUCg7dv14+5at/HBJAP1F9HNHxxk4zPLvVlfbSpuA4Hyf36EiJI3U0xViQVJ28fckC/p481wKroxo8SHFb1YATv4/mBTVD46e8UaZYEwGK7LjI7vIksjGKVtr8g7T5H1o+ePBH35fMewRRQx7sYKVeMHaaB82CCL55HNgeQSVU0kLs43rIyliaB2uDZtR5A+xo8/v05EUX+SYyaJY+/ki/g/T7+ef6dQAxFNmK1Qz6EasdjyuzSEs7tuYsDVGzRFBfHm7s+evFVSNHtiaJMirZJrljx58ADjwB04FxokIkF3XtYUd/i+Prwa+gr7BLMsbI6IWVl9yKfAryOfuOf8Ar47VEeon37/iGJGOwbZIytfFAeT8fQ8/18dSBIwG8K4HDc1d+fpw3n966aUlGDUbPBBo7f6/b6f69cjJBDEBth2uQB7j9/v9Rz/8LqhxAIhf8oe8EEObDFgGHNV/mOPgmrrkuyT5EO4wBfUQD02ewR4PPF/X+vUfHViyeGBJUhvkkEfH9f79PVI4KBAxNjazbmF3XIPPP2P9b4TVDVAA3vCcKKTHx4kj95jBUrQ+u66HyPHjnz9ennhjjjKxDnkbg24AgDz5BH0+3XUADFwxJI8CxyCQD/uvHj46Wm6vU2rxRugQftxdWeueI1LJU8JkV3B/leG8j3EkHi/jxX2N/wBR1/UKmQWeP1C74PP9Pn/4PPW/9ofix/wnaT2jpGmd1/8ADNm65rmBp2PDqeopjYTfnMhUCyTbnyAx3NuNsAfPA8dEx+N3/BW70/8AwmZwobgWxdOogf8A+z/r0gVb/f8AEaeX8P0a0BRr5Q7c1u2I+bJwwJNEIaFkbSvn4r9+b5rmvlsIN1yws0YJFgDd/Ufb/Oq+KOy/iv8AiN/w6d0dpDS/wq/AfJ7O11suGb+Iy4+IgMCk+pHuimdgWFcVXwSPIx4mlGxgBQB43bq+T9vI+tVz56XU/v8A1AbiFJLoZvhSpqZgbKXb/cOUy7gtC12tVlT8g3+9/wBDz9OkSRsysRwwI3ceSB9vHH+YFV5676u94w0aMhBq/NjyfPIqvgHn4648rxICBagAyKxo7TxYPxV3/bzXK6oHB3hplcvSrbJVBmB2815qiOa/r567AASxaR3eQ04YVVfH/S/AA8fAjOIxvaQKpLGw5BW7Iqj8fY/As8gdTIEZAcZlVFQbg48Aj5H78/t/pzxKoaUw6FgZEDRJSj01uMLdgCwt8AgG6AH04JAHalizJkNkRQxurbFX3FSshIUFqHKG+efpdC26ns7RJ7NvphByo8H5proj5rjgGjyB1FzIc2EPK8ux0LLJGCGiZG5sq3BIQEMvzyV+B0jvCSSUqzAzI/L1JOrF0ZtodlKtuABJKKbQkE8W1WNu4AqqxPLDti2vGq7RDJd0hA+o8g3RrwQQTx0jJikmZzIqNJNuJMQ8sCTVc8XdfUH6+I2BiZc6SSwelEbQMdnEjhmo+CL5Pu+eb/UQO1QRCUlDk+/fb0idJjNCVZsdSFDIwDFDHVBSrWKNrXwBZNijUcu0ckbwwLEEp0EgKOoVj+4b+/vDE2dw6nq27FLZGNsadCxgcllVuQQDZIsj5Y/Nk2T1yCEYbMi+o6TOqKNgMtUwADfK0D7eB9FtjfPeIhMIB1bQ9jwwyuVxizoZFREoK6NR5+QRwfJ58CumIsWYenJIZSRKrJMHYRu/+EsedrC1HiwKsgkjogMj81AJMuNmf1jFJKngkMtBR7eDfANEc1W33JyUVisk4MUjmVi8UhsOAG3huL4BO0j5I446XVFZMxQJB9tAnHxzmSiEK2O1tIYVPsDA8bSTwFP+nyODNlhLzliDJjyytKykD9TEs1DnZZI9wr/CL89cgUKyZiCJ0elM8axkWwHwLUgixxxRIr2llmPhmSRjOYtriORQKJ3NZ2gWTYuueKHXPD5k3mzb376xED+jmw5bS+9Cxk2DaZFINXXN3t4I49wAPNyScbIEZT0qcMI3jAXceAbrgGj5+CDYomkqrorum5wm5Symhzdc35IF39uarlM6SMVUvuNhi1UxPgE1Xz/98X0jxGSFEdvf7wOz0nMccec0Tx0xSX0yruxFV7SOKuxTcgHmhasTAxpcb0YmZYpfkWW3EhbPJ8fUHx8AdTsiadmEEyq6lTKoXcJJHUNvCkcAsrbeSAN4on9JjxpLuhjBZt/uaQSra2oqQWK2+7aVske1hQDKe1RYTMUUNjft7/faIeKkylIsxHEiKqRSNI6pLZFWQ49y1/hs3tPABDSJMkHKGLIrPJPRtiHBJ4G6zussrXY5uxx1JnfeDIJTjmbz6Tb1BF0CeLXnlTxRNCzu69OYnQ4oQek7shpQqmvLBeLFge4UwO00PI544zNR1KH9R0EkbFYkXuBLea8Xx9PH7gfPXvT3blKNwNhUACx9PkeTxz/UdKAdZXpzYWwCCb5P1P1+P639FAqkmwsojZwoYUQb8UKP78fer6V4ge9o8oWIAsu5WvkcWNvFUD9b/wBnrjPOx9j2jHduoLuv6mrP18n+hHSWEhJDTDdauWu7NH6D7kVxXSXhdRu2gfFkWOfH9L/fz4PXao4AbxwCMqEhiBG42GP6FPmq/wAv6C+OFBXVkCRQkQe4DaL5JphQ4PkUODV1yQHFdjalADYWyBzY/wAvBH9fuem5m3LseyoY/sf+vXPCgkloQoUIqk7gnLLt8/b78iv/AL6VbHad1VdECt39v/rx/VUe9kCNJwCATZ9tf1+CR8fa/B6SyKyksCxJv+v+6v8A6XXXaoV7wiS14YEA8fAI/vx5A/sPjryxB4ztAHg/AJseK8f7+567teMgKT5IBB8fPj+o+PkcfPS1Mf8A6lE+oOeRfwRyP6c82D1ztCuwtFgwPw3/ABB1bEx9S0fsbV8yPNVGikgi3rMsguMoLss1e0VZF0DRutpJBIqz4xDKwDK1f5/P9/2/bq69sfiBoXac2G2H2Dp+VPhSadrS5mRlyjIk1nELvDOzKNoxVaWcflFRGIkLNOzgMKjBEPRhiKu6QxiMEkhqAAri6IABIPFH+vSBReCPEJVHJlyzTL1KPzC9sdUh944FeAhAj2v6inJ44J+bs0fF3f1rqbjvjwoUfnkkAvKtD6UnHSVhkhUJJ+lQSAwYWt+0WRwwFC/HA6hyajDit6ckTOfNsR//AMnpzwOpjrXEWbId8hJZoCkgcjggccfHz8c/bpSZKGR23OhBIA2knz5sff8A0PnqMqx+6JNgFi1UUL+gA8DpYCsybnBLWymrBA4/r/18ffqF4sTEJciJnrMsTxSRo8Ztl2gjzQo3x8jx/wBOmi8QHuVnUCmWwyufm7B+5/p8dRsayoWn28FdreV+Bd+a/wCn06dBINAjb53EEL5BIr4Fhf719+ueI9ASWh7cGsQBWVTexqJP7G+K8eTXn7dIUruaRasmv1eKu/6Hn5P9z0ggKhCgCzyLFjmrr9yR+/7jpYUrzbBxyLN2D9vkH/MnrnhGAhXI/mI4DbQVP1B5H7c/14PUlV/S6k8g3Q5Px+3+X/TqOIzQvgA0K+bP9qJ+v1Pz0tZPSC7i1Ibo8goQeD+3+nXPEar4iadpOxit/prdtDH5+fHx45sdMLMwlCSfzFcnlqElfIP9vnnnrzFyFJ4LfJqnANiv8v6196YhUBFYDcBQXZyo4NG75Hx/T5vrniNKAxJiaJIvT2LJe7mqW+fvf2r+n9Oo+9txlhCxMoJYbiQou6o+DYHHIrzweeszMu5acx88fF0PvQrk3d1007JI/qBV5FEba4o7ga+xr/PrnjkJh6ANI70pjG0OKNjk+RxQoXxz58+OnLRrvfxZvaQfr7SRz/T6ft1HxWEchWiHbgA1yQf98dPSxyAAqw2UKFFSbPBux/s/brnhFAamhPrRl9tM2z32F5PIJ8cE8X82Cft14OUZix30L2br3f8AtJPxRP346a3GUkyFWYDjgggk81XI+g/r9rVYl5tWF+SAT9+f6H+vXPDtIhuWdQd+PE2wi2XgFCPn7f2+brx05iTzR/yJHDLZCrtsXZPF8gft8gdNSqrU7Ip2+5SaAH1I/wCvSiCrl4zXutQRQPFf35/rfXPtDyAUtEpWDqyFUkAq0clgynyDY5H73R/fr0sPrRSxbvU3FFHrWu0KVoiv1EEblLc+6vBvplQtKVAAQ37yW+11d35+R5I5+XIgtKzOFLEiRTVVxzxx88/PP1PPPELaS4hySGD0xGcFp1p2D7gWT7qg/wDU4AtDVjja3kj8CPHGTM2Hk7YmiuVJEBFgVwKHNi7+w4uqLMGHscSJvZlBU0x9tkir5q/7HgiieypIwZRGqSMCtMBdcmrHkfS6/v1zw1M3Skp69/2vA+Mb09RYzYXayx2pYccADwoPgUQLqqPXJoYGjeJn9F5RuP6tj835HAIPNqQQenVT0DtdSyj3Mr/UHzfwOL8eefjpa5DRSOoY7roAWLIAFmqvx8+a5+OueJNSncQ1Ir+pLLEyJJMo3GqLUfoDwPA+o4o1XS1QmQoCS8aH05JJQhcMpRhyQBweFtnBUEVRpVKqtLHtKiyvsJ3fY3V8WTVWAeBXXliEzvGkNOPaSeVa+K45Iq7HPDV7uOueG6mENx+2YLJJN/NX3oCAwJpieKsD5u7LE/FGQubjSxIk+55BCGkAjLNVD3mvg35NqeQeR1GWKV5DEEyXMYAem3bHB+RfJo0PJHNgbuvRilPob5JIVNmEqWKg/qS/IVlvkkhbarU9c8KpKVZh4xsm2aUoLYe9FBSuTY5Jrj9hXFV11oMgRvGIY1Mh2lvcdoDfHHkfvfHHTBx4vy+PkQOki5DxwLL6e/1ZG5Ao8FjRpXO727QGoAKgkZp4du6OVTsZIxRkHG6MqTuBBVtvO4Fa5quueEYs4OP2hqcJj48s2TKtwhJFlK2BET5Di6JaqIsEMfIHTMssj6lGy5BWGQn1YGoq/se2P/LyF/T5puSWrqdAPVgBZGG5JHVyAfTZuaAIBA9y/H2oHpDwRsUmKwxsCAxhFAX9BVVRNWPr9euh6VhJIVm/v94TOqqtlAG8MVHJ4oC/jyT9P8h1z1ZJV9cbGVpK3KABvHgsDwDyQfggm7+HWV4yN+5Q9X7bK2PHPgWD9fB/frjMASij1EB/mqd3FkVX0HI+vNC/HXPCA26wjegJkk27f0gACqs8+bJ+v3vpEhYK3qESbhW9ACG5oGh9fp/2PXEQ+ydHUM7cE+QfI8UOQKIHkV/VpJcdpI5iyiF7Ybha18ED5F1Y+tg2OT0PCYdWZSdsYYGuCo9x+wrk8jzZ45/fqt6iLJuFEBiQoH2FUBfH28k+OLYpa3owJJoVyAau/uK+L+vjjqTDjQzq6pKwkQgEK1L4FUaB/wASDwL464GFUEpvHXD2hUMWKgcJdgea+QR/oPv0koALaP2nndY3fQ2Pgfc/bkXfT6bDIqrV/qAujfPFfXyPr564dvpkpe4PyQx4YeT54PH/AF652iLU1oZCyGwrAKTVNRsm6IuwP7/b4HSt8SEqyA7vBIAA+LAPA8deLRuF27F5LkIAAzVweOPv4+/SZEdgHBoo2w8cgnng/wC/9OueHZN4bkdV9gO8UQNtAUR+3HI8eeeklgQu5iDzxyRfg8/Hx/3q+uuFElOAATfA4riyL+f1eB4+OuLETFQpvcKWh/Rr/p0rxJYAQolI62lB8g0COfN18f1/pzy4pnDL6TgkrTCuCpFgc+fkgjn6dJjA2LLE427vaN1g+LF/2H7+OeuncbEwLKTvAPHNVf2+ljiv2HXPDTCVld23CY7m45/p9fPP9f8APoTrcijKjMgO4xg8AsP1H56JsNvuLAqVs0CK4+37n+nQjVljGSqyvLYQAbAoFWfNnz1wU0WqYDxAYmsiqhAH/p+0fsCQP9B09nxpAG2AGkD8i+doP/X+3XuvdIq0WVga/rHG/lrBIgHu2gggEVur5+3TuJ75thFB4yxr4IZRY/uevde64ZiJaQ2In42mwTYiuzuC4iBqv8Q5PI+/UPUolxcuaCI+1GUiwP8AlB//AJj17r3SQ8JS4tEcsUaAjyyqxN/Nkf8AQf59MpmSEAiONbN0q0B7SeB9Pt46917pRiIikXtEn1DtJoeL8ft01JnSQqWWND/ho2QRuX7/AHP9+vde6QwxSR0hcuU6TMoRCEZQAbNivnn7ddWd9pY0TwL/AKkX+/HXuvdKIRKQ2OkIh1GcCJtqc0DwfqaPnzx1FGsZILeyM0Pnd9f36917pITSlzaHItUnmZFaKLmUjgGwDX3+3T35p923avKMfnyAT9fqOvde6WOAEOzzH00lCKGLkcWPr0+dqpHJsB3sFKkmvB/r/vnr3Xuk6Q0gaTDMkpVZtoCmJmAKkgnz9P2H7fFdLhy5EyAVVBvBvjxdnj6eOvde66FUkFGITNmyq8LhQvvFhWZVYAWAwBAajyL5B8dJy9SkdWL48LFE3gkG7MiJ8H6Nd+bHnz17r3XGImDiI8Op5QkyASpKkBSR4rcB9r4HPnpxdQmWFXCR2yG+D/zV9efrz17r3XCJlISNvbQzPqM5khcKgKqtcE+WujZN+fn6dLOsZMmFjztHFborMKNNamweeR+/XuvddvCFKWTaOSyj0oC0SMCqhgRwwPNfUUOBVGuOoePqmVkzYqTEMs0ypKpZtrrsleiLqrjArxRYfPXuvdcYnSAUn1//ANfwIt2Lp0UEWLkwSyx+tA5aNCAhDLurbXgMtj6EmvPQjUp3TWct1JAeVpSu5itz3vFX8epanyCqkGxfXuvdIP2isANY/wDif1iPJq+VjParGwdGdgy3bc+76g8Vx9f2pWfmz4zj0mo7qs3fnz/n/Xr3XulVEgQnWLQ0mqZE+KJ5Eju9u0Agc/PnzwP/AK46n5b3CZSiljtS/sQxP+n+Z6917rhCFKQoMIhHJlSMBCF3MAa+6gn/AD6VlZEmOA497KNxZySWN0bN83zf3JPXuvdKYlKU9IZfVZ2RXMMJb3Lezk0QB/l10alKthYIaWgBR+fqbs9e690hiEpDY6w/i6pOSVaOJlZmBBB/5h97+B/b7m25dSnuKMKih5VUkA3V19fpxzx17r3SmGpSNbNHMnOlAVgq2S1nmzxf16jLq2VtBpPJWq48E/8AT/fHXuvddE6UpIxDcWqTSgEwwqdhNqCPk/f9/wC/T/8AEpPyt+hFaE7T7uOf3+3XuvdKIaoC3nCBq2SJyu1K2qR54Ju/nrkmp5CB9ioAQSQLr5+/XuvdJDkpGrESMXLlyWf1QvtIUVfg/wC/8+oE+VJLId6p7CVHtviz9evde6VOYsU6RrFo/9k=” width=”602px” alt=”ai模型”/>
另一個語言模型是J1 Jumbo,它來自AI21 Studio,這是一款高品質、價格實惠的語言模型。 上週,OpenAI公佈了最新的一個基於AI的對話系統ChatGPT。 該對話方式使ChatGPT能夠回答後續問題、承認錯誤、質疑不正確的前提和拒絕不適當的請求。
ai模型: Day 07 ~ AI從入門到放棄 – 模型的搭建
如上所述,如果某種模型以超過兩倍的處理時間爲代價提供94%的預測精度,那麼與86%的精確算法相比,選擇的種類就會大大增加。 現今市場供應的機器學習和深度學習軟體選項,數量多到令人目不暇給。 然而,若是 Intel 的產品選擇,您僅需取用一站式資源即可獲得常見的架構與資料庫,而且全數均已針對在 Intel® 平臺上的效能最佳化。 Intel® 乙太網路 800 系列網路介面卡與 Intel® Silicon Photonics 提供高達 100GbE 的速度,為強化分析引擎的低延遲資料中心架構奠定了基礎。 訓練通常需要透過 AI 模型在迭代測試迴路處理大量資料及檢查結果,才能確保準確性,並且確定模型的行為符合期待。
有了模型的形狀和材質貼圖,GET3D再使用可微分渲染器渲染到 ai模型 2D 的圖片。 在官方最新發布的論文中提到,如今所有的文本到圖像的AI合成都是由通過數十億個圖像-文本匹配訓練的擴散模型驅動的。 在近日舉行的第一屆全國煤炭行業礦山AI大模型大賽中,389支參賽隊伍以礦山智能化場景創新爲核心,創新出數百個應用場景,其中一部分已經在實際生產中應用。
ai模型: 科技要聞
SAS 分析解決方案將數據轉換成智能,啟發了世界各地的客戶,讓他們大膽發掘、勇敢前進。 實際應用到場域包括臺北捷運及農牧養殖業相關,其中,在機場捷運維修站場,有許多車體零件需要量測,需要查看磨耗程度及是否要更換零件。 傳統的作法是使用人工實地測量,導入影像辨識技術之後,只要在車輛入口處架設攝影機,在每輛列車進站時,做元件尺寸的測量,往往比人工耗費半小時還要省時省力。 近幾年,人工智能計算機視覺技術在安防、工業製造等場景的產業智能化升級進程中發揮着舉足輕重的作用。
- GET3D希望訓練更好的3D生成模型,來生成下游任務可以直接使用的帶紋理的3D模型。
- 換言之,如果範例音訊來自電話講話內容,模型會在合成輸出模擬講電話的聲音與頻率屬性,一聽就知道是在講電話。
- MLOps 是資料科學家、ML 工程師、軟體開發人員以及其他 IT 部門的共同產出,用於機器學習模型生命週期。
- 目前,TensorFlow Hub一共有20個API、75個用於文本嵌入的模塊、71個用於圖像特徵向量模塊,以及2個用於視頻分類的模塊等等。
- 在Kaedim發佈的演示Demo下,很多人都提到這些建模功能對於小體量遊戲工作室來說非常實用。
VALL-E 是「神經編碼解碼器語言模型」(Neural Codec Language Model),基於 Meta 2022 年 10 月宣佈的 EnCodec 技術打造。 VALL-E 從文字與聲音提示產生個別音訊編碼解碼器程式碼,與一般透過操控波形合成語音的常見文字轉語音法不同。 新模型主要分析人如何發音,並透過 ai模型2025 EnCodec 將資訊分解成稱為「標記」(Token)的個別元件。 人工智慧可能會以一種類似於人類的方式表達自己,但只是在外觀上,是一種由我們將其擬人化的傾向所助長的錯覺。 GPT-3是OpenAI使用深度學習生成類人文字的自回歸語言模型。 給定一個作為提示的初始文字,它將生成繼續提示的文字。
ai模型: 騰訊雲原生專題
您只能將「符號」面板中儲存的 2D 圖稿對應到 3D 物件。 您可以從任何 Illustrator 圖形物件建立符號,包含路徑、複合路徑、文字、點陣影像、網格物件以及物件羣組。 若要將斜角套用到突出的 3D 物件,請選取 3D 物件,然後在「外觀」面板中按兩下「3D 突出與斜角」效果。 在「3D 突出與斜角選項」對話框中,選擇「斜角」選單中的斜角。
ai模型: Edge AI建模技術與AIoT開發方法 – 課程總覽 – 產業學習網
近年來,傳統的AI模型在各個領域、各個行業的應用都有出色表現。 然而,由於數據規模或是模型表達能力的約束,這些模型往往只能有針對性地支持一個或者一類任務,而無法支持其他任務。 相比之下,AI大模型得益於其“大規模預訓練﹢微調”的範式,可以很好地適應不同下游任務,展現出它強大的通用性。 應用支撐方面,AI大模型已成爲上層應用的技術底座,能夠有效支撐智能終端、系統、平臺等產品應用落地,可解決傳統AI應用過程中存在的壁壘多、部署難問題。
ai模型: NVIDIA等國際大廠近期AI運算晶片發展 這些亮點最吸睛
ChatGPT是InstructGPT的兄弟模型,它被訓練為在提示中遵循指令並提供詳細的響應。 研究模型,是研究人員在TensorFlow中實現的大量模型集合。 它們在發佈分支中不受官方支持或不可用;模型維護等方面取決於各個研究人員。 目前有51個模型,覆蓋計算機視覺、自然語言處理領域等等。
自然語言處理技術主要是讓機器理解人類的語言的一門領域。 在自然語言處理技術中,大量使用了編譯原理相關的技術,例如詞法分析,語法分析等等,除此之外,在理解這個層面,則使用了語義理解,機器學習等技術。 作爲唯一由人類自身創造的符號,自然語言處理一直是機器學習界不斷研究的方向。 ①主要代表是主成分分析算法(PCA算法):主成分分析也稱主分量分析,旨在利用降維的思想,把多指標轉化爲少數幾個綜合指標(即主成分),其中每個主成分都能夠反映原始變量的大部分信息,且所含信息互不重複。 這種方法在引進多方面變量的同時將複雜因素歸結爲幾個主成分,使問題簡單化,同時得到的結果更加科學有效的數據信息。
ai模型: 文章專區
深度卷積神經網絡中的每一層的深入都是在構建越來越高層次的特徵表示。 換句話說,早期的層提取的特徵則廣泛得多,在提取的大量的類中有很多簡單的模式。 當我們有成千上萬個這樣的上下文單詞和中間詞時,我們就有一個神經網絡數據集的實例。 我們訓練神經網絡,最後編碼的隱藏層輸出表示了特定單詞的嵌入。
通過每層神經元相互“連接”,計算機就可以由達到最佳方案時所有神經元的加權和,從而可以實現這一決策方案。 在這個時期,所研究的是“沒有知識”的學習,即“無知”學習;其研究目標是各類自組織系統和自適應系統;其主要研究方法是不斷修改系統的控制參數以改進系統的執行能力,不涉及與具體任務有關的知識。 指導本階段研究的理論基礎是早在40年代就開始研究的神經網絡模型。 隨着電子計算機的產生和發展,機器學習的實現才成爲可能。
ai模型: 功能
谷歌於2018年10月發佈,模型利用BooksCorpus和英文維基百科裏純文字的部分,通過兩個自監督任務來做訓練,訓練好的模型通過微調在11個下游任務上實現最佳性能。 文繼榮:一般認爲,AI大模型發展起源於自然語言處理領域。 在2017年Transformer網絡提出後,伴隨着參數量的不斷提升,它在自然語言處理領域慢慢成爲基礎性架構,並在2018年其參數量達到3億規模,也就是我們所熟知的BERT。 基於如此之大的參數量,研究者發現它能夠同時出色地完成多種自然語言處理任務,這也就吸引了越來越多的人加入其中。 我們的大腦是一個大模型,它有860億個神經元和125萬億個突觸,大腦在這個基礎上彰顯出的基礎認知能力令我們驚歎。
至於深度學習,則是可以透過神經網路或自動編碼器 的中間層輸出,來當作代表性的特徵 使用,一樣有辦法找出代表性特徵。 ai模型2025 深度學習 讓AI自行透過數據去學習和預測,不用選特徵,乍看之下好像比較輕鬆。 但其實,深度學習並不好訓練,再加上有太多複雜因素需要考慮,所以除非你的商業問題,已經被證實比較適合用深度學習來解決,否則不建議一開始就從深度學習入手。
缺點是該算法需要指定集羣的數量,而K值的選擇通常都不是那麼容易確定的。 另外,如果訓練數據中的真實集羣並不是類球狀的,那麼K均值聚類會得出一些比較差的集羣。 (3)優秀算法:在機器學習中,學習算法(learning algorithms)創建了規則,允許計算機從數據中學習,從而推論出新的指令(算法模型),這也是機器學習的核心優勢。 新的機器學習技術,特別是分層神經網絡,也被稱爲“深度學習”,啓發了新的服務,刺激了對人工智能這一領域其他方面的投資和研究。 深度學習則是機器學習算法的一種,隸屬於人工神經網絡體系,現在很多應用領域中性能最佳的機器學習都是基於模仿人類大腦結構的神經網絡設計而來的,這些計算機系統能夠完全自主地學習、發現並應用規則。 相比較其他方法,在解決更復雜的問題上表現更優異,深度學習是可以幫助機器實現“獨立思考”的一種方式。
從論文評審的角度講,人們需要一個快速有效的檢測工具,以分辨一篇文章是 AI 生成的還是人工撰寫的。 近期就有開發者發佈了一個名爲 GPTZero 的新應用程序,具備這種檢測功能。 SAS 臺灣業務顧問部陳新銓副總經理分析,初期從情境確認、資料分析到每一次模型部署上線,企業內部就需花費大量的時間溝通,而等到模型上線後,又會因為情境需求改變,甚至是日益增長的資料而讓模型執行環境變得不堪使用。
AI 這個概括性術語,泛指機器或電腦根據可用資料,模擬人類操作者之決策能力的任何方法。 機器學習專指以演算法的形式應用 AI,實現自動化工作。 機器學習的重要特質,就是能一邊產生更多資料,一邊學習,隨著時間推移制定更妥善的決策。 AI/ML ai模型2025 這個過程複雜,運算、儲存、資料安全性與網路的要求高。
在這種情況下,利用機器學習,先讓工業機器人隨機的進行一次分撿動作,然後告訴它這次動作是成功分撿到零件還是抓空了,經過多次訓練之後,機器人就會知道按照怎樣的順序來分撿纔有更高的成功率,如圖26所示。 語音識別技術一般不會單獨使用,一般會結合自然語言處理的相關技術。 如果模型學的太好,把訓練樣本自身的一些特點當成所有潛在樣本具有的一般性質,這種情況稱爲過擬合,這樣的模型在面對新樣本時就會出現較大誤差,專業表述就是導致模型的泛化性能下降。