Advanced RAG Techniques
The conversation delves into the nuances of advanced retrieval-augmented generation (RAG) techniques, emphasizing the importance of modifying prompts for improved outcomes. While many are just scratching the surface with traditional methods, there's a wealth of innovative tools available that can elevate their approach. This discussion encourages listeners to explore beyond the basics and consider the broader possibilities within RAG pipelines.In this clip
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Practical AI
Apple Intelligence & Advanced RAG
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 Vector Databases and the Power of RAG and the clip Evolution of AI, as well as 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?
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 Weaviate Podcast episode with Cohere co-founder Nick Frosst on building LLM apps for business?