
The TWIML AI Podcast with Sam Charrington
Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. By sharing and amplifying the voices of a broad and diverse spectrum of machine learning and AI researchers, practitioners, and innovators, we hope to help make ML and AI more accessible and enhance the lives of our audience and their communities. Through the podcast, we bring the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers, and tech-savvy business and IT leaders. The TWIML AI Podcast is hosted by Sam Charrington, a sought-after industry analyst, speaker, commentator, and thought leader. Sam’s research is focused on the business and consumer application of machine learning and AI, bringing AI-powered products to market, and AI-enabled and -enabling technology platforms
Episodes


Quantizing Transformers by Helping Attention Heads Do Nothing with Markus Nagel - 663

Responsible AI in the Generative Era with Michael Kearns - 662

Edutainment for AI and AWS PartyRock with Mike Miller - 661

Data, Systems and ML for Visual Understanding with Cody Coleman - 660

Patterns and Middleware for LLM Applications with Kyle Roche - 659

AI Access and Inclusivity as a Technical Challenge with Prem Natarajan - 658

Building LLM-Based Applications with Azure OpenAI with Jay Emery - 657

Visual Generative AI Ecosystem Challenges with Richard Zhang - 656

Deploying Edge and Embedded AI Systems with Heather Gorr - 655

AI Sentience, Agency and Catastrophic Risk with Yoshua Bengio - 654

Delivering AI Systems in Highly Regulated Environments with Miriam Friedel - 653

Mental Models for Advanced ChatGPT Prompting with Riley Goodside - 652

Multilingual LLMs and the Values Divide in AI with Sara Hooker - 651

Scaling Multi-Modal Generative AI with Luke Zettlemoyer - 650
Multimodal generative AI represents a significant shift in model development, moving beyond text-only architectures to incorporate visual grounding and diverse data streams. Luke Zettlemoyer, a professor at the University of Washington and research manager at Meta, advocates for a "tokenize-everything" approach, where ...

Pushing Back on AI Hype with Alex Hanna - 649

Personalization for Text-to-Image Generative AI with Nataniel Ruiz - 648

Ensuring LLM Safety for Production Applications with Shreya Rajpal - 647

What’s Next in LLM Reasoning? with Roland Memisevic - 646

Is ChatGPT Getting Worse? with James Zou - 645
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