Software Meets Hardware: Enabling AMD for Large Language Models

Sharon Zhou and Greg Diamos are co-founders of Lamini, a startup at the forefront of enabling enterprise adoption of large language models (LLMs). We discussed Lamini’s work with AMD, which focused on closing the gap between AMD hardware capabilities and software integration in LLM applications.Subscribe to the Gradient Flow Newsletter: https://gradientflow.substack.com/Subscribe: Apple • Spotify • Overcast • Google • AntennaPod • Podcast Addict • Amazon • RSS.Detailed show notes ...

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A series of informal conversations with thought leaders, researchers, practitioners, and writers on a wide range of topics in technology, science, and of course big data, data science, artificial intelligence, and related applications. Anchored by Ben Lorica (@BigData), the Data Exchange also features a roundup of the most important stories from the worlds of data, machine learning and AI. Detailed show notes for each episode can be found on https://thedataexchange.media/ The Data Exchange podcast is a production of Gradient Flow [https://gradientflow.com/].