Ryan Orban@ryanorban

2 years ago

🧵 Exploring how LLMs handle reasoning and the potential for architectural tweaks to enhance their capabilities. This isn't just about getting the right answers; it's about how the model processes and evolves its responses.

LlamaIndex 🦙@llama_index

2 years ago

Building Multi-Agent RAG with LlamaIndex + @crewAIInc 💫 CrewAI is one of the most popular and intuitive frameworks for building multi-agent systems - define a “crew” of agents with different roles that work together to solve a task. You can now easily augment these agents with… https://t.co/JlUuULtQeE

Optimizing your LLM apps? See how we refactored Wandbot, our LLM-powered doc assistant, for better efficiency and speed. Discover how we used evaluation-driven development to boost correctness from 72% to 81% and cut latency by 84%. 👉 https://t.co/o2ZkAXsHKi https://t.co/sHDKCUaD8T