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8min chapter
Local GenAI LLMs with Ollama and Docker
DevOps and Docker Talk: Cloud Native Interviews and Tooling
Utilizing RAG for Customized Responses in Language Models
The chapter explores the use of RAG (retrieval-augmented generation) in language models to tailor responses by incorporating extra input like knowledge bases. It also covers strategies for handling large context sizes and splitting text into manageable chunks for more efficient processing.
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highlights
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