Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a sho
With all the LLM hype, it’s worth remembering that enterprise stakeholders want answers to “why” que
Large Language Model (LLM) capabilities have reached new heights and are nothing short of mind-blowi
What can art historians and computer scientists learn from one another? Actually, a lot! Amanda Wasi
Daniel and Chris explore the intersection of Kaggle and real-world data science in this illuminating
We are seeing an explosion of AI apps that are (at their core) a thin UI on top of calls to OpenAI g
Neural search and chat-based search are all the rage right now. However, You.com has been innovating
We’ve all experienced pain moving from local development, to testing, and then on to production. Thi
With the recent proliferation of generative AI models (from OpenAI, co:here, Anthropic, etc.), pract
We’re super excited to welcome Jay Alammar to the show. Jay is a well-known AI educator, applied NLP
We’ve been hearing about “serverless” CPUs for some time, but it’s taken a while to get to serverles
Worlds are colliding! This week we join forces with the hosts of the MLOps.Community podcast to disc
What’s the current reality and practical implications of using 3D environments for simulation and sy
Creating and sharing reproducible development environments for AI experiments and production systems
Why is ML is so poorly adopted in small organizations (hint: it’s not because they don’t have enough
Daniel and Chris do a deep dive into OpenAI’s ChatGPT, which is the first LLM to enjoy direct mass a
While at EMNLP 2022, Daniel got a chance to sit down with an amazing group of researchers creating N
José and Ricardo joined Daniel at EMNLP 2022 to discuss state-of-the-art machine translation, the WM
In this special episode, we interview some of the sponsors and teams from a recent case competition
There are some big AI-related controversies swirling, and it’s time we talk about them. A lawsuit ha
Online platforms and their users are susceptible to a barrage of threats – from disinformation to ex
