AI Trends 2024: Machine Learning & Deep Learn...

In this episode, Diogo Almeida, co-founder and CEO of TypeSafe, joins us to discuss Jev, TypeSafe’s recently released model for bringing fast, reliable intelligence directly into software. We explore the idea of “machine-native intelligence” and why Diogo believes models optimize ...  Show more

AI systems have gone from struggling with grade-school math to helping solve research problems that have resisted mathematicians for decades, including Navier-Stokes. In this episode, Greg Burnham, who leads AI capabilities research at Epoch AI, joins us to examine what that prog ...  Show more

The latest on the philosophy, science and technology of AI and AGI. ChatGPT, Deep Learning, Neural Networks and Large Language Models (LLMs). What do we know? Where is it going? 

In this episode of Syntax, Wes and Scott talk about understanding the integration of different components in AI models, the choice between traditional models and Language Learning Models (LLM), the relevance of the Hugging Face library, demystify Llama, discuss spaces in AI, and ...  Show more

Hilary and Roger discuss Hilary's Use R! keynote presentation, LLMs and R, and whether R (or any programming language) has a future. Also, a brief preview of Roger's JSM 2024 talk. Show notes: Support us on Patreon Roger Peng Hilary Parker List of NSSD Fellows Get the Not So Stan ...  Show more

On today’s episode, we get a reality check on all the hype surrounding AI with guest Phil Gervasi. Phil provides background on Large Language Models (LLMs) and their applications, as well as the current state of AI technology. We also delve into practical use cases for AI in netw ...  Show more