🔍 What Is an LLM, Really? At its core, an LLM is a next‑token prediction system. Given a sequence of tokens words or word pieces, the model predicts the most...
Introduction AdaSPEC is a new method that speeds up large language models by using a small draft model for the initial generation pass, followed by verificatio...
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Overview This submission reflects on the Google AI Agents Writing Challenge and summarizes my experience in Kaggle’s 5‑day AI Agents Intensive. The intensive t...
Nvidia launched the new version of its frontier models, Nemotron 3, by leaning in on a model architecture that the world’s most valuable company said offers mor...
The landscape of AI agent development is shifting fast. We’ve moved beyond prototyping single‑turn chatbots. Today, organizations are deploying sophisticated, a...
The End of Prompt Engineering: Entering the Era of Agent Control For the last two years, prompt engineering was the main event. It was fun, messy, and creative...
AI agents are everywhere today. From image generation to content creation, from coding assistants to autonomous research tools, the word agent has quietly becom...
> “All models are wrong, but some are useful.” > — George E. P. Box Overview Large language models LLMs are essentially structured sets of numerical parameters—...
If language is what makes us human, what does it mean now that large language models have gained “metalinguistic” abilities?...
I asked ChatGPT to tell me a joke about coffee. Same joke. Every time. I changed the wording. I raised the temperature. I added creative instructions. Nothing c...
Large language models have transcended their original functions of summarizing documents and composing emails. These advanced systems now drive AI agents that e...
