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Leveraging Hardware for Faster Performance
Mozilla is leveraging the availability of hardware to intelligently utilize GPUs for faster performance or CPUs if GPUs are not ready. This optimization and meta-awareness of hardware are evident in their single executable file approach, aimed at enhancing user convenience. Researchers are enhancing AI models by eliminating matrix multiplication in LLMs, a process fundamental to neural networks and large networks.
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)
See full episode notes here.
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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