Meta's Llama 3.1 vs. GPT-4o ๐Ÿคฏ // OpenAI's own AI chips ๐Ÿง // SlowFast-LLaVA for Video LLMs ๐ŸŽฌ

Meta's Llama 3.1 vs. GPT-4o ๐Ÿคฏ // OpenAI's own AI chips ๐Ÿง // SlowFast-LLaVA for Video LLMs ๐ŸŽฌ

Author: Earkind July 23, 2024 Duration: 14:06

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:ย ย sergi@earkind.com

Timestamps:

00:34 Introduction

01:28ย LLAMA 405B Performance Leaked

03:01ย OpenAI Wants Its Own AI Chips

04:25ย Towards more cooperative AI safety strategies

06:01 Fake sponsor

07:35ย SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models

09:17ย AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?

10:56ย Conditioned Language Policy: A General Framework for Steerable Multi-Objective Finetuning

12:46 Outro


Each morning, GPT Reviews serves up a fresh, slightly chaotic conversation about everything happening in artificial intelligence. This daily podcast from Earkind is actually crafted by AI, offering a unique blend of the latest headlines, major announcements, and intriguing research plucked from sources like arXiv. But itโ€™s far from a dry briefing. The dynamic comes from its four distinct hosts: Giovani Pete Tizzano brings relentless optimism as an AI enthusiast, while Robert, the analyst, provides a grounded and often skeptical counterpoint. Olivia, whoโ€™s deeply embedded in online communities, shares the buzz and broader reactions, and Belinda, the witty research expert, helps unpack the technical details with clarity and a sharp sense of humor. Tuning in feels like dropping into a lively roundtable where complex ideas are debated, explained, and occasionally laughed about. Youโ€™ll get a comprehensive yet digestible overview of the AI landscape, all wrapped in a format thatโ€™s as entertaining as it is informative. The result is a consistently engaging listen that keeps you updated without feeling like homework, making it a standout in the daily news podcast space.
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