Скачать с ютуб Mixture-of-Agents (MoA) Enhances Large Language Model Capabilities в хорошем качестве

Mixture-of-Agents (MoA) Enhances Large Language Model Capabilities

A new paper titled "Mixture-of-Agents Enhances Large Language Model Capabilities" shows a method to win GPT-4o on AlpacaEval 2.0 using open-source large language models (LLMs). In this video we explain what is the Mixture-of-Agents (MoA) method by diving into that research paper. Mixture-of-Agents (MoA) is inspired by the well-known Mixture-of-Experts (MoE) method, but unlike MoE, which embeds the experts in different model segments of the same LLM, MoA is using full-fledged LLMs as the different experts. Paper page - https://arxiv.org/abs/2406.04692 ----------------------------------------------------------------------------------------------- ✉️ Join the newsletter - https://aipapersacademy.com/newsletter/ 👍 Please like & subscribe if you enjoy this content ----------------------------------------------------------------------------------------------- Chapters: 0:00 Introduction 0:53 Mixture-of-Agents (MoA) 2:40 Results