Meta's Llama 3.1 vs. GPT-4o 🤯 // OpenAI's own AI chips 🧐 // SlowFast-LLaVA for Video LLMs 🎬

Meta's upcoming Llama 3.1 models could outperform the current state-of-the-art closed-source LLM model, OpenAI's GPT-4o. OpenAI is planning to develop its own AI chip to optimize performance and potentially supercharge their progress towards AGI. Apple's SlowFast-LLaVA is a new training-free video large language model that captures both detailed spatial semantics and long-range temporal context in video without exceeding the token budget of commonly used LLMs. Google's Conditioned Language Policy (CLP) framework is a general framework that builds on techniques from multi-task training and parameter-efficient finetuning to develop steerable models that can trade-off multiple conflicting objectives at inference time. Contact:  [email protected] Timestamps: 00:34 Introduction 01:28 LLAMA 405B Performance Leaked 03:01 OpenAI Wants Its Own AI Chips 04:25 Towards more cooperative AI safety strategies 06:01 Fake sponsor 07:35 SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models 09:17 AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks? 10:56 Conditioned Language Policy: A General Framework for Steerable Multi-Objective Finetuning 12:46 Outro