Hallucinations Leaderboard, AI Chip Startup Rebellions challenging Nvidia, and Microsoft's "Future of Work" report. Our experts also discuss innovative papers that focus on improving the efficiency and effectiveness of Large Language Models (LLMs) and Large Vision-Language Models (LVLMs) through new training strategies and architectures.
Contact: sergi@earkind.com
Timestamps:
00:34 Introduction
01:25 The Hallucinations Leaderboard, an Open Effort to Measure Hallucinations in Large Language Models
03:22 AI Chip Startup Rebellions Snags Funding to Challenge Nvidia
05:06 Microsoft New Future of Work Report 2023
06:21 Fake sponsor
08:10 Scaling Sparse Fine-Tuning to Large Language Models
10:02 Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling
11:25 MoE-LLaVA: Mixture of Experts for Large Vision-Language Models
13:26 Outro
