LLMとクラスタリングを組み合わせた手法 ClusterLLM が公開されました！ LLMのembeddingベクトルを使ってテキスト分類のフレームワークを提案したClusterLLM。tripletの考え方を使って、（エントロピーをもとに）サンプルしたクラスタ候補のどちらに近いか判断さ ...

RAGを用いたAIアプリケーションやDifyなどのツールを触っているとEmbbedingという言葉によく出逢います。 特にDifyなどのツールでは意味を要らなくてもRAGやナレッジを用いたアプリケーションを作成することができますが、大枠を理解している方が自信を持っ ...

VL-JEPA predicts meaning in embeddings, not words, combining visual inputs with eight Llama 3.2 layers to give faster answers ...

This work presents a variant of an electrostatic embedding scheme that allows the embedding of arbitrary machine learned potentials trained on molecular systems in vacuo. The scheme is based on ...

This paper describes evidence that led to the concept of biological embedding and research approaches designed to elucidates its mechanisms. Biological embedding occurs when experience gets under the ...

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Google’s open-source Gemma is already a small model designed to run on devices like smartphones. However, Google continues to expand the Gemma family of models and optimize these for local usage on ...