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Practical AI: Machine Learning, Data Science, LLM

Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a sho

Episodes

Total: 322

9 out of 10 AI projects don’t end up creating value in production. Why? At least partly because thes

How did we get from symbolic AI to deep learning models that help you write code (i.e., GitHub and O

Pinecone is the first vector database for machine learning. Edo Liberty explains to Chris how vecto

William Falcon wants AI practitioners to spend more time on model development, and less time on engi

Chris and Daniel sit down to chat about some exciting new AI developments including wav2vec-u (an un

Tuhin Srivastava tells Daniel and Chris why BaseTen is the application development toolkit for data

Elixir meets machine learning

2021/5/26

Today we’re sharing a special crossover episode from The Changelog podcast here on Practical AI. Rec

Apache TVM and OctoML

2021/5/18

90% of AI / ML applications never make it to market, because fine tuning models for maximum performa

To say that Jeff Adams is a trailblazer when it comes to speech technology is an understatement. Alo

Smart home data is complicated. There are all kinds of devices, and they are in many different combi

Mapping the world

2021/4/27

Ro Gupta from CARMERA teaches Daniel and Chris all about road intelligence. CARMERA maintains the m

Nhung Ho joins Daniel and Chris to discuss how data science creates insights into financial operatio

Dave Lacey takes Daniel and Chris on a journey that connects the user interfaces that we already kno

Nikola Mrkšić, CEO & Co-Founder of PolyAI, takes Daniel and Chris on a deep dive into conversati

Chris has the privilege of talking with Stanford Professor Margot Gerritsen, who co-leads the Women

David Sweet, author of “Tuning Up: From A/B testing to Bayesian optimization”, introduces Dan and Ch

Our Slack community wanted to hear about AI-driven drug discovery, and we listened. Abraham Heifets

Green AI 🌲

2021/3/2

Empirical analysis from Roy Schwartz (Hebrew University of Jerusalem) and Jesse Dodge (AI2) suggests

In this Fully-Connected episode, Chris and Daniel discuss low code / no code development, GPU jargon

Elad Walach of Aidoc joins Chris to talk about the use of AI for medical imaging interpretation. St