Meta AI 推出大概念模型:超越傳統語言模型的新突破
近年來，大型語言模型（LLMs）在自然語言處理(NLP)領域取得了顯著進展，廣泛應用於文本生成、摘要和問答等場景。然而，這些模型依賴於逐字預測的 token 級處理方法，這種方式在理解上下文時存在困難，且往往產生不一致的輸出。此外，將 LLMs 擴展到多語言和多模態應用時，計算成本和數據需求也相對較高。爲了解決這些問題，Meta AI 提出了一種全新的方法 —— 大概念模型(LCMs)。大概念模型（LCMs）代表了傳統 LLM 架構的一次重要轉變。它們引入了兩個重大創新:首先，LCMs 在一個高維嵌
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