Open-source AI system LLaVA is introduced, which could rival GPT-4 for visual and language understanding. Microsoft's new AI chip is discussed, which aims to reduce reliance on Nvidia's GPUs. FreshPrompt, a few-shot prompting method, is highlighted for its ability to substantially boost the performance of LLMs on FreshQA. Finally, LATS is introduced, which leverages the strengths of LLMs to enhance decision-making in planning, acting, and reasoning tasks.
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Timestamps:
00:34 Introduction
01:43 Open-source LLaVA challenges GPT-4
03:13 Microsoft said to debut AI chip next month in an effort to cut costs
05:01 How I think about LLM prompt engineering
06:17 Fake sponsor
08:11 FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation
09:50 Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
11:19 Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
13:12 Outro

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