Recent advancements in AI technology have led to the introduction of a new framework called Mixture of Agents (MoA) by Together AI, leveraging the strengths of multiple Large Language Models (LLMs) to enhance quality. Companies like FactoryAI are utilizing LLMs to double their iteration speed and improve performance. Additionally, optimizing LLM applications has shown significant efficiency gains, with Wandbot achieving a correctness boost from 72% to 81% and an 84% reduction in latency.
🧵 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.
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
📜 Mix of agents makes LLMs much better 🦾🦾🦾 New result by @togethercompute shows that mixing LLMs in a layered architecture iteratively improves the quality of output. How it works: 1️⃣ Select multiple LLMs with varying strengths 2️⃣ Create a multi-layer architecture where… https://t.co/VRiFqDxmSQ
LLM applications often won't be perfect when you launch Therefor it's crucial to have fast feedback loops built into your product and iterate quickly Here's a spotlight on how @FactoryAI (SOTA performance on SWE-Bench) used LangSmith to double their iteration speed! https://t.co/nKGuS9VWse
Together AI Introduces Mixture of Agents (MoA): An AI Framework that Leverages the Collective Strengths of Multiple LLMs to Improve State-of-the-Art Quality https://t.co/G5GubNC1KI #TogetherAI #MoA #ArtificialIntelligence #Innovation #TechnologyLeaders #ai #news #llm #ml #res… https://t.co/zoCYhgxgQc
Research: LLMs get a massive speed boost! You can predict 4 tokens at a time with speculative decoding and get 3-6x faster! Unintuitively, bigger models also perform better. While speed gains may seem incremental, faster LLMs meaningfully shift the frontier of possibility. https://t.co/ojGQNrGZ1e
Together AI Introduces Mixture of Agents (MoA): An AI Framework that Leverages the Collective Strengths of Multiple LLMs to Improve State-of-the-Art Quality Quick read: https://t.co/CuypQV8rz4 Paper: https://t.co/xvSAZ5p84j GitHub: https://t.co/XS0H2leQBS @togethercompute