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๐ง AI Concepts in a Nutshell: LLM Optimization - OVHcloud Blog
RAG vs. Fine-Tuning Choosing the Right Method for External Knowledge In AI development, incorporating proprietary data and external knowledge is crucial. Two key methodologies are Retrieval Augmented Generation (RAG) and fine-tuning. Hereโs a quick comparison. ๐๐๐ญ๐ซ๐ข๐๐ฏ๐๐ฅ ๐๐ฎ๐ ๐ฆ๐๐ง๐ญ๐๐ ๐๐๐ง๐๐ซ๐๐ญ๐ข๐จ๐ง (๐๐๐) ๐ RAG combines an LLMโs reasoning with external knowledge through three steps:1๏ธโฃ Retrieve: Identify related documents [โฆ]
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๐ง AI Concepts in a Nutshell: LLM Optimization - OVHcloud Blog
RAG vs. Fine-Tuning Choosing the Right Method for External Knowledge In AI development, incorporating proprietary data and external knowledge is crucial. Two key methodologies are Retrieval Augmented Generation (RAG) and fine-tuning. Hereโs a quick comparison. ๐๐๐ญ๐ซ๐ข๐๐ฏ๐๐ฅ ๐๐ฎ๐ ๐ฆ๐๐ง๐ญ๐๐ ๐๐๐ง๐๐ซ๐๐ญ๐ข๐จ๐ง (๐๐๐) ๐ RAG combines an LLMโs reasoning with external knowledge through three steps:1๏ธโฃ Retrieve: Identify related documents [โฆ]
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๐ง AI Concepts in a Nutshell: LLM Optimization - OVHcloud Blog
RAG vs. Fine-Tuning Choosing the Right Method for External Knowledge In AI development, incorporating proprietary data and external knowledge is crucial. Two key methodologies are Retrieval Augmented Generation (RAG) and fine-tuning. Hereโs a quick comparison. ๐๐๐ญ๐ซ๐ข๐๐ฏ๐๐ฅ ๐๐ฎ๐ ๐ฆ๐๐ง๐ญ๐๐ ๐๐๐ง๐๐ซ๐๐ญ๐ข๐จ๐ง (๐๐๐) ๐ RAG combines an LLMโs reasoning with external knowledge through three steps:1๏ธโฃ Retrieve: Identify related documents [โฆ]
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