Private AI Models, Future of Personal AI, Running LLMs locally with webAI Founder David Stout скачать в хорошем качестве

Private AI Models, Future of Personal AI, Running LLMs locally with webAI Founder David Stout

Discover how webAI is revolutionizing AI by enabling powerful models to run directly on devices. About the episode: Nataraj chats with David Stout, founder of webAI, about bringing AI infrastructure to edge devices. David shares his journey from a Michigan farm to pioneering techniques for compressing AI models onto phones, laptops, and even airplanes. They discuss the importance of data privacy, real-time processing, and the shift from cloud-based AI to a web of interconnected, specialized AI systems working across devices. Learn about webAI's vision for the future of AI and how they achieved a $700 million valuation. What you’ll learn Understand the limitations of cloud-based AI and the advantages of edge computing for data privacy and real-time processing. Discover how WebAI compresses and optimizes large AI models to run efficiently on everyday devices like phones and laptops. Learn about the potential of a decentralized “web of models” and how it could revolutionize various industries. Explore the key factors driving WebAI's success, including their focus on horizontal technology and support for diverse AI models. Gain insights into the future of AI hardware and software. About the Guest and Host: Guest Name: David Stout, Founder of webAI, pioneering AI infrastructure for edge devices. Connect with Guest: → LinkedIn:   / davidpstout   → Website: https://www.webai.com/ Nataraj: Host of the Startup Project podcast, Senior PM at Azure & Investor. → LinkedIn:   / natarajsindam   → Substack: ⁠https://startupproject.substack.com/⁠ In this episode, we cover (00:01) Introduction and Guest Introduction (01:35) David's Journey in AI and Machine Learning (03:51) Bringing AI Models to Devices (05:49) Applications of AI on Devices (08:10) The Thesis for Starting webAI (11:16) Optimizing for Specialized Models (15:02) Web AI's Customers and Use Cases (17:00) Hardware Optimization for webAI (19:12) Lightweight Personal Models (22:55) The Trajectory of Foundational Model Companies and AGI (31:48) Emergent Behavior and Intelligence (35:17) Prompts Don't Pay Bills (41:22) Meta's Approach to Recruiting and Spending (44:51) Form Factors in AI (51:04) Surprising AI Products (52:42) Breakthroughs in AI Research (56:31) XAI's Models (01:03:24) The Future of Google and Search (01:06:39) Finding David and webAI Don’t forget to subscribe and leave us a review/comment on YouTube Apple Spotify or wherever you listen to podcasts. #AI #EdgeComputing #MachineLearning #DataPrivacy #WebAI #ArtificialIntelligence #DecentralizedAI #AIInfrastructure #Startup #Technology #Innovation #Podcast #Entrepreneurship #TechStartups #DeepLearning #ModelCompression #AIModels #Inference #NatarajSindam #StartupProject