110 stories
For roughly the last ten years, I have participated in hiring students and full-time employees at a large corporation. I was one of several people involved in hiring for my unit. The process changed over time, but its general shape will probably sound familiar.
Microsoft OneLake is not simply another storage account replacing a traditional data lake. It is the unified logical data lake underlying Microsoft Fabric.
From making a prediction to figuring out exactly which weights caused the mistake.
Compare dots, Muse, Team Bots, and Claude Managed Agents to see where memory lives, who can edit it, and how forgetting works.Continue reading on Towards AI »
When an autonomous receptionist schedules an acute myocardial infarction for next Tuesday, the failure isn’t conversational intelligence — it’s architectural negligence. Here is how to engineer deterministic triage interceptors.
What fractals, loss landscapes, and dynamical stability reveal about adaptation under constraint
This is the Part-1 of Series Reinforcement Learning from Scratch. In this series we plan to cover the core concepts of modern RL from Q-table, Deep-Q Learning to policy gradients and how RL is used in training LLMs.
LAI #145: What Makes an Agent Reliable? Plus, persistent AI identity, decisions without decoding, causal inference, Kubernetes triage, and RAG claim verification. Good morning, AI enthusiasts! AI …
API lifecycle management when your only consumer is a model that read the description once and formed an opinion.Continue reading on Towards AI »
Signing a handle stops forgery. It does not stop theft. Here are the four checks every MCP server now needs.
Stopping the model is only the beginning. The real test is whether everything it set in motion stops with it.
New research fine-tunes a small model on a few hundred examples and nearly matches one trained on 24,000. The real lesson hides in its…Continue reading on Towards AI »
macOS gives your models about 10.7GB of the 16GB. Here's what fits, how fast it runs, seven defaults to fix, and a script to test your ownContinue reading on Towards AI »
Complete RAG Engineering Series, Part 5 | A practical guide to dense and sparse embeddings, model selection, Matryoshka embeddings…Continue reading on Towards AI »
A decision model picks the right Claude model for about $0.00003; acting on the pick in the middle of a session is what costs money.Continue reading on Towards AI »
Generative AI excels at language generation, but complex enterprise problems require structured decision intelligence. Enter Jev.Continue reading on Towards AI »
Also, Instinct’s $1bn raise, Opus and Sonnet 5.5, Grok Bot, Claude Tag in Slack, and OpenAI DevDay.
The 27B fits on the card and matches full precision at 4-bit. Flash-Next scores higher but needs 64 to 128GB of system RAM.Continue reading on Towards AI »
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