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Leveraging Open Source LLN Model for Math Benchmark Superiority
A Chinese model named QIEN2, 7B, based on a 7 billion parameter LLN, outperforms leading anthropic models like CLOD 3 Opus and GPD4 Turbo on a math benchmark. By fine-tuning on synthetic math-related data, this model showcases superior accuracy, highlighting the effectiveness of generating synthetic data at scale for improved performance.
Our 173rd episode with a summary and discussion of last week's big AI news!
With hosts Andrey Kurenkov (https://twitter.com/andrey_kurenkov) and Jeremie Harris (https://twitter.com/jeremiecharris)
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In this episode of Last Week in AI, we explore the latest advancements and debates in the AI field, including Google's release of Gemini 1.5, Meta's upcoming LLaMA 3, and Runway's Gen 3 Alpha video model. We discuss emerging AI features, legal disputes over data usage, and China's competition in AI. The conversation spans innovative research developments, cost considerations of AI architectures, and policy changes like the U.S. Supreme Court striking down Chevron deference. We also cover U.S. export controls on AI chips to China, workforce development in the semiconductor industry, and Bridgewater's new AI-driven financial fund, evaluating the broader financial and regulatory impacts of AI technologies.Timestamps + links:
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Listen to the best highlights from the podcasts you love and dive into the full episode