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Advanced Retrieval Techniques

Jerry discusses the concept of recursive retrieval, emphasizing its flexibility in document retrieval and synthesis for improved performance. He also highlights the importance of fine-tuning embeddings for enhancing RAG pipelines and LLMs. Explore cutting-edge techniques to optimize language models.
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    Unsupervised Learning

    Ep 18: LlamaIndex CEO Jerry Liu on Trends in LLM Applications

  • Related Questions

    • Do I get it right that a Retrieval Augmented Generation (RAG) system can retrieve data in addition to its training data as discussed in the episode with Cohere co-founder Nick Frosst on building LLM apps for business and the clip Model Evaluation Insights?

    • Do I get it right that a Retrieval Augmented Generation (RAG) system can retrieve data in addition to its training data as discussed in the episode with Cohere co-founder Nick Frosst on building LLM apps for business in the episode MLOps for GenAI Applications // Harcharan Kabbay // #256 and the clip Evaluating LLM Responses?

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