Strategic AI deployment could unlock $4.4 trillion in productivity growth, yet only 1% of leaders consider their companies AI-mature, according to a McKinsey report. A key part of reaching maturity is ...

Reading a book about bowling is not the same as actually bowling. If that resonates with you and you want to learn more about large language models, check out the LLM From Scratch project. The ...

Large language models like ChatGPT's GPT-4o seem to have all the information in the known universe, or at least what engineers could scan off the internet. But what if you want to use a large language ...

Most AI tool workflows send the model far more data than it needs. The fix is a simple shift that cuts waste without cutting ...

Ollama lets you build a custom model quickly by starting with a base model and a Modelfile. Temperature, top_p, and repeat_penalty shape how safe, creative, or repetitive the output sounds. Small ...

Many in the industry think the winners of the AI model market have already been decided: Big Tech will own it (Google, Meta, Microsoft, a bit of Amazon) along with their model makers of choice, ...

Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform discipline. Enterprises that succeed with RAG rely on a layered architecture.

Last week, South Korea’s SK Telecom released a new entry in the global AI race: A.X 3.1 Lite, a 7-billion-parameter language model trained entirely from scratch for Korean use cases. It’s small enough ...

The experimental model won't compete with the biggest and best, but it could tell us why they behave in weird ways—and how trustworthy they really are. ChatGPT maker OpenAI has built an experimental ...