OpenAI Endorses AI Bills, Stanford’s RelBench Revolutionizes Deep Learning, Zamba2-2.7B: A State-of-the-Art Small Language Model, Engineers Measure Chaos with Machine Learning

OpenAI endorses Senate bills shaping America's AI policy. Stanford presents RelBench, a benchmark for deep learning on relational databases. Zyphra releases Zamba2-2.7B, a state-of-the-art small language model. Engineers at the University of Pennsylvania use machine learning to measure chaos in systems. Join Simply A.I. as we explore the latest advancements in AI technology and their potential impact on various fields.

Sources:
https://techcrunch.com/2024/07/30/openai-endorses-senate-bills-that-could-shape-americas-ai-policy/
https://www.marktechpost.com/2024/07/30/researchers-at-stanford-present-relbench-an-open-benchmark-for-deep-learning-on-relational-databases/
https://www.marktechpost.com/2024/07/30/zamba2-2-7b-released-a-state-of-the-art-small-language-model-achieving-twice-the-speed-and-27-reduced-memory-overhead/
https://phys.org/news/2024-07-machine-chaos.html

Outline:
(00:00:00) Introduction
(00:00:46) OpenAI endorses Senate bills that could shape America’s AI policy
(00:03:38) Researchers at Stanford Present RelBench: An Open Benchmark for Deep Learning on Relational Databases
(00:07:26) Zamba2-2.7B Released: A State-of-the-Art Small Language Model Achieving Twice the Speed and 27% Reduced Memory Overhead
(00:10:16) Engineers use machine learning to measure chaos in systems