Anthropic researcher Thariq shared a prompt skill called `/eli5` that generates simple, visual explanations of complex topics, and a test on neural networks produced a clear dataflow diagram after one…
Andrew Ng published an AI Engineering Skills Map on X, outlining six core learning areas: LLM foundations, grounding models with data, building agentic systems, evaluation-driven development, operatin…
Next token prediction, the core mechanism behind large language models, works by breaking text into tokens and repeatedly scoring every possible next piece to pick the most likely one, with no overall…
Vizuara AI Labs trained a miniature version of the Kimi K3 model from scratch, using 1.02 billion parameters with 145 million active, on 5 billion tokens, for a total cost of $252.35 on a single Nvidi…