LlamaIndex: How to use LLMs
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In this video, you'll learn how to work with Large Language Models (LLMs) using LlamaIndex. We'll explore how to integrate LLMs from different providers like OpenAI, Anthropic, Gemini, and Groq. For this example, we'll use Llama 3.1 by Meta and GPT-4o by OpenAI, but you can try out any LLM that suits your needs. Topics === - How to use other LLMs with LlamaIndex - Difference between .chat() and .complete() - Streaming tokens in LlamaIndex Links === 👉 Code on this video: https://colab.research.google.com/drive/18rJ-BGN3-JVJtBGjslQ33M5liowbXkc4?usp=sharing 🚀 Become an AI Engineer with my cohort: https://course.alejandro-ao.com ☎️ Consulting for your company: https://link.alejandro-ao.com/consulting-call ❤️ Buy me a coffee... or a beer (thanks): https://link.alejandro-ao.com/l83gNq 💬 Join the Discord Help Server: https://link.alejandro-ao.com/HrFKZn Timestamps === 0:00 Intro 01:06 Setup 03:37 complete() 07:14 chat() 11:21 Streaming 14:24 Conclusion
![Advanced RAG with LlamaIndex - Metadata Extraction [2025]](https://imgz.pc97.com/?width=500&fit=cover&image=https://i.ytimg.com/vi/yzPQaNhuVGU/hqdefault.jpg)
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