Software Meets Hardware: Enabling AMD For Large Language Models The Data Exchange With Ben Lorica podcast

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المحتوى المقدم من Ben Lorica. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Ben Lorica أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

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Understanding the Elegant Math Behind Modern Machine Learning 1:14:43

منذ 6 أيام1:14:43

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Artificial intelligence is evolving at an unprecedented pace—what does that mean for the future of technology, venture capital, business, and even our understanding of ourselves? Award-winning journalist and writer Anil Ananthaswamy joins us for our latest episode to discuss his latest book Why Machines Learn: The Elegant Math Behind Modern AI . Anil helps us explore the journey and many breakthroughs that have propelled machine learning from simple perceptrons to the sophisticated algorithms shaping today’s AI revolution, powering GPT and other models. The discussion aims to demystify some of the underlying math that powers modern machine learning to help everyone grasp this technology impacting our lives, even if your last math class was in high school. Anil walks us through the power of scaling laws, the shift from training to inference optimization, and the debate among AI’s pioneers about the road to AGI—should we be concerned, or are we still missing key pieces of the puzzle? The conversation also delves into AI’s philosophical implications—could understanding how machines learn help us better understand ourselves? And what challenges remain before AI systems can truly operate with agency? If you enjoy this episode, please subscribe and leave us a review on your favorite podcast platform. Sign up for our newsletter at techsurgepodcast.com for exclusive insights and updates on upcoming TechSurge Live Summits. Links: Read Why Machines Learn, Anil’s latest book on the math behind AI https://www.amazon.com/Why-Machines-Learn-Elegant-Behind/dp/0593185749 Learn more about Anil Ananthaswamy’s work and writing https://anilananthaswamy.com/ Watch Anil Ananthaswamy’s TED Talk on AI and intelligence https://www.ted.com/speakers/anil_ananthaswamy Discover the MIT Knight Science Journalism Fellowship that shaped Anil’s AI research https://ksj.mit.edu/ Understand the Perceptron, the foundation of neural networks https://en.wikipedia.org/wiki/Perceptron Read about the Perceptron Convergence Theorem and its significance https://www.nature.com/articles/323533a0…

The Data Exchange with Ben Lorica « »
Software Meets Hardware: Enabling AMD for Large Language Models

منذ عام واحد 38:37

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المحتوى المقدم من Ben Lorica. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Ben Lorica أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

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 can be found on The Data Exchange web site.

… continue reading

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#Business News #News #Tech News #Ben Lorica #Data #Machine Learning #Data Science #Data Engineering #Cloud Computing #Tech

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Software Meets Hardware: Enabling AMD for Large Language Models

The Data Exchange with Ben Lorica

82 subscribers

published منذ عام واحد

مشاركة

MP3•منزل الحلقة

المحتوى المقدم من Ben Lorica. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Ben Lorica أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

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 can be found on The Data Exchange web site.

… continue reading

273 حلقات

#Business News #News #Tech News #Ben Lorica #Data #Machine Learning #Data Science #Data Engineering #Cloud Computing #Tech

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The Future of AI: Regulation, Foundation Models & User Experience 47:42

منذ 6 أيام47:42

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47:42

This is our semi-regular conversation on topics in AI and Technology with Paco Nathan , the founder of Derwen , a boutique consultancy focused on Data and AI. Subscribe to the Gradient Flow Newsletter : https://gradientflow.substack.com/ Subscribe: Apple • Spotify • Overcast • Pocket Casts • AntennaPod • Podcast Addict • Amazon • RSS . Detailed show notes - with links to many references - can be found on The Data Exchange web site .…

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منذ 13 يومًا24:01

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24:01

This episode explores the rapidly evolving world of AI agents, covering topics from GUI-based interaction and layered architectures to modular design, safety, and real-world deployment challenges. This episode relies on visuals, to view the visual presentation, go to the Youtube version: https://www.youtube.com/watch?v=FsmBYBqQMIo Subscribe to the Gradient Flow Newsletter : https://gradientflow.substack.com/ Subscribe: Apple • Spotify • Overcast • Pocket Casts • AntennaPod • Podcast Addict • Amazon • RSS . Detailed show notes - with links to many references - can be found on The Data Exchange web site .…

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منذ 20 يومًا32:27

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Tom Smoker is the co-founder of WhyHow.ai , a startup that transforms unstructured data into structured knowledge, including knowledge graphs, enabling enterprises to deploy accurate and explainable AI solutions with its open-source graph tooling. Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/ Support our work by leaving a small tip 💰 https://buymeacoffee.com/gradientflow Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon · RSS . Detailed show notes - with links to many references - can be found on The Data Exchange web site .…

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منذ 27 يومًا38:57

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منذ 5 weeks47:54

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منذ 6 weeks45:41

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منذ 7 weeks32:26

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منذ 8 weeks25:11

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