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    # 加速大語言模型訓練的第一手經驗和美國工作經驗談 講座筆記 software engineer 其實越來越不在乎GPA/public 比較在乎你的實作能力 為什麼開源很有價值 * 每行code都是可見得 * project 可以帶給很多人影響 * 並且學到的技術都是可以帶走的 Triton * openai用的 * 可以自動最佳化 * 介面很直覺 像numpy * python native * clean dependency 開源重視什麼 * reliable * numerically stable * convergence * easy to use * 不只是要能用,能夠穩定且有效果是非常重要的,並且也不能太難使用 不要當理由伯 想做的當下就做 不要找理由說自己很忙 可以找一些社群,這樣可以參與討論,也能更好的知道有什麼問題可以問誰 孤狗面試除了寫扣外,要能夠明確的表達,利用溝通完成面試是非常重要的。 open source 也是一個大型的溝通場所 做開源不只能累積技能,同時也能認識各方人士。 公司很注重documentation,把自己做過的事情都紀錄下來,並且盡量使用英文。 有潛力有價值的技能,接觸GPU相關的領域。 小白怎麼辦 最快的方式就是厚顏無恥的寫信問最活躍的人 開頭說還在求學的學生 問他有什麼簡單的問題讓你解 之後再回信給他 叫他幫你看 最重要的是能展現決心,可以問的時候說有事先做了哪些功課 做fullstack(只會寫網頁,其他只碰一點點)很難在美國找到工作 想去美國工作的話,在台灣至少有2份實習,或是1年~2年的工作經驗 多利用暑假去實習 要學會包裝自己 與其觀望,先找到實習最重要,不管從那個公司都可以 刷題重質不重量 除了DP,對於演算法要有一定的了解,最好一邊寫一邊講,最好每天刷睡前刷個三題之類的。 入門參與liger kernel開發 * 先有LLM相關知識 * 再嘗試triton怎麼寫 * 接著就可以開始在社群問,有什麼可以幫忙的,要有好的GPU很重要,4090可以,3080可能就不好說了。 去美國最重要的,英文英文英文 GPA也要顧一些 如果你有什麼目標什麼公司,最應該的是注重哪個領域 想做工程師 先決定自己想做那種工程師 然後透過各種關係去認識這領域的人 如果想做ML 那直接發paper 讀PhD 如果想找工作 那就是找好實習包裝自己 OpenBMC

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