Three types of AI-assisted programmers
What matters isn’t just whether you use it, but how.
One weird trick for teaching users your software
Ben talks with James Evans, cofounder and CTO of CommandBar, an AI-powered user assistance platform, about the software usability challenges CommandBar wants to address, the evolution of the company’s natural language search bar, and the future of dynamic interfaces and universal agents.
Behind the scenes building IBM watsonx, an AI and data platform
Insight into how IBM built their own LLM, data lakehouse, and AI governance system.
How to scale a business-ready AI platform with watsonx: Q&A with IBM
We chat with IBM about how their watsonx platform makes generative AI more than just a fun toy.
Can GenAI 10X developer productivity?
Anand Das, cofounder and CTO of Bito AI, joins Ben and Ryan for a conversation about the intersection of developer productivity and GenAI.
Cloudflare Workers have a new skill: AI inference-as-a-service
Rita Kozlov, Senior Director of Product at Cloudflare, joins Ben, Ryan, and veteran cohost Cassidy Williams for a conversation about Cloudflare’s new AI service, what her day-to-day is like, and the mind-blowing “physicality” of the internet.
The AI assistant trained on your company’s data
Today’s guest is Joel Hellermark, founder and CEO of Sana, an AI-powered end-to-end learning platform. He talks with Ben and Ryan about a polymath Renaissance, what regulation might look like in the AI space, the intersection of AI and neuroscience, and why AI assistants aren’t turning into Terminators anytime soon.
An intuitive introduction to text embeddings
Text embeddings are key to LLMs and convert text into vector coordinates.
AI is only as good as the data: Q&A with Satish Jayanthi of Coalesce
AI is garbage in, garbage out, so feed it good data.
Retrieval augmented generation: Keeping LLMs relevant and current
Retrieval augmented generation (RAG) is a strategy that helps address both LLM hallucinations and out-of-date training data.