How to Choose Large Language Models A Developer’s Guide to LLMs
AI Summary
The video discusses how to choose the right large language model (LLM) for specific use cases, focusing on evaluating both proprietary and open-source models. It highlights the importance of considering the problem to be solved over raw performance metrics, and showcases tools like the Chatbot Arena Leaderboard and Open LLM Leaderboard for model comparison. The presenter demonstrates using open-source tools such as Ollama for local model testing and integration with custom data, mentioning applications like retrieval augmented generation (RAG) and coding assistance in IDEs. Key takeaways emphasize the significance of selecting models based on specific requirements and the potential for hybrid approaches in AI development.