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Bridging AI & Science: The Impact of Machine Learning on Ma…
In the latest episode of Gradient Dissent, we hear from Joseph Spisak, Product Director, Generative AI @Meta, to explore the boundless impacts of AI a...
Unlocking the Power of Language Models in Enterprise: A Dee…
In the premiere episode of Gradient Dissent Business, we're joined by Weights & Biases co-founder Chris Van Pelt for a deep dive into the world of lar...
Providing Greater Access to LLMs with Brandon Duderstadt, C…
Dive into the world of AI with Brandon Houghton, founder of Nomic AI, as he discusses the intricacies of language models, the role of fine-tuning, the...
Exploring PyTorch and Open-Source Communities: Interview wi…
Discover PyTorch's journey in an episode with Soumith Chintala, its Co-Creator and Meta's VP/Fellow. Learn about TensorFlow's impact, community-guided...
Andrew Feldman: Advanced AI Accelerators and Processors
Revolutionizing AI Processing: Unveiling Cerebras Systems' CEO Andrew Feldman's Insights on Large Chips, Optimal Machines, and Future-proof Chip Desig...
Stella Biderman: How EleutherAI Trains and Releases LLMs
On this episode of Gradient Dissent, we’re joined by Stella Biderman, Lead Scientist at Booz Allen Hamilton and Executive Director at ElutherAI. Stell...
Building a Q&A Bot for Weights & Biases' Gradient Dissent P…
In this article, we explore how to utilize OpenAI's ChatGPT and LangChain to build a Question-Answering bot for Weights & Biases' podcast series, Grad...
Aidan Gomez - Scaling LLMs and Accelerating Adoption
On this episode of Gradient Dissent, we’re joined by Aidan Gomez, Co-Founder and CEO at Cohere. Cohere develops and releases a range of innovative AI-...
Jonathan Frankle: Neural Network Pruning and Training
Jonathan Frankle and Lukas Biewald discuss neural network pruning and training, the "Lottery Ticket Hypothesis" and much more on this episode of Gradi...
Sarah Catanzaro — Remembering the Lessons of the Last AI Re…
Sarah discusses the lessons learned from the "AI renaissance" of the mid 2010s and shares her thoughts on machine learning from her perspective as an...
Cristóbal Valenzuela — The Next Generation of Content Creat…
Cris gives a demo of Runway, a new video editing platform that uses machine learning to make content creation easier, and discusses the future of comp...
Jeremy Howard — The Simple but Profound Insight Behind Diff…
Jeremy explains diffusion, shares his thoughts on large models, revisits the debate between Python and Julia, and talks about his scientific advocacy...
Jerome Pesenti — Large Language Models, PyTorch, and Meta
Jerome discusses the current advances around large language models and shares some stories about his time as VP of AI at Meta, including leading the t...
D. Sculley — Technical Debt, Trade-offs, and Kaggle
D. dives into some of the potential pitfalls of model development and explains the roles that Kaggle plays in the machine learning community....
Emad Mostaque — Stable Diffusion, Stability AI, and What’s …
Emad shares the story and mission behind Stability AI, a startup and network of decentralized developer communities building open AI tools....
Jehan Wickramasuriya — AI in High-Stress Scenarios
Jehan discusses applications for AI in public safety and enterprise security...
Will Falcon — Making Lightning the Apple of ML
Will explores Lightning's journey from undergrad project to Series B startup...
Aaron Colak — ML and NLP in Experience Management
Aaron explains how Qualtrics uses machine learning for the enrichment of experience management, discusses the strength and speed of the current NLP ec...