Efficiently Retraining Language Models: How t...

I wrote a chess engine that beats real players. I still can't play chess. Developers who hand their coding to AI are heading the same way: they can build the machine but can't play the game. We go through the evidence (Anthropic, METR, Microsoft/CMU), the best counterarguments, a ...  Show more

DHH told Rails World that hand-written code is over, that HEY's backend is being AI-rewritten in Rust ("amazing, as long as you never look at it"), and that developer happiness no longer matters. This episode checks his statements. Struggling with AI and Software? Here is my new ...  Show more

This week on the Official AWS Podcast, dive into the rapidly evolving world of Large Language Model Operations (LLMOps)! Join the experts as our host Shruti interviews Piyush Kadam, Sr. Product Manager, and Lauren Mullennex, Sr. Solutions Architect at AWS to explore how Amazon Sa ...  Show more

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

We’ve seen a rise in interest recently and a number of major announcements related to local LLMs and AI PCs. NVIDIA, Apple, and Intel are getting into this along with models like the Phi family from Microsoft. In this episode, we dig into local AI tooling, frameworks, and optimiz ...  Show more