Building and Deploying Real-World RAG Applications with Ram Sriharsha - #669
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Retrieval Is Key to Successful Chat Bot Development
The successful development of chat bots relies heavily on the integration of retrieval, relevance, and ranking techniques. Large language models like GPT lack inherent knowledge, which is why retrieval is essential for providing accurate and timely information. Individuals with prior experience in search and relevance problems are more successful in creating chat bots that users find relevant and useful. The combination of retrieval and large language models in workflows like retrieval argument generation (RAG) is proving to be most effective for developing chat bots.
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