Tool-Driven LLMs
A significant shift in software development is underway as LLMs leverage various tools for enhanced functionality. By employing web crawlers and other specific tools, LLMs can retrieve and augment data, leading to more accurate and relevant results. This approach allows for a deeper understanding of user queries, enabling the generation of refined outputs that go beyond initial training data.In this clip
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AI Demos: Gemini Gmail, Search GPT, Groq with Voice & Playground | E2001
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?
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 Cohere co-founder Nick Frosst on building LLM apps for business and the clip Model Evaluation Insights?