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Jay Alammar on LLMs, RAG, and AI Engineering

Machine Learning Street Talk (MLST)

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Empower Search with Re-Ranking and Tool Optimization

Investing in retrieval enhances search systems significantly through the integration of re-ranking models, which reorder search results by relevance to improve accuracy. By applying a simple API call, organizations can elevate the effectiveness of their existing search infrastructure. Additionally, generation models need supplementary tools for optimal usage, leading to the creation of the Cohere Toolkit. This toolkit facilitates easier interaction with multi-step retrieval-augmented generation (RAG) processes, providing a platform for experimentation and development with advanced functionalities.

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