As demand for private AI infrastructure accelerates, LLM.co introduces a streamlined hub for discovering and deploying open-source language ...

If you are interested in learning more about how the latest Llama 3 large language model (LLM)was built by the developer and team at Meta in simple terms. You are sure to enjoy this quick overview ...

Every new large language model release arrives with the same promises: bigger context windows, stronger reasoning, and better benchmark performance. Then, before long, AI-savvy marketers feel a ...

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, ...

Getting LLMs to run at home.

Hands-on learning is praised as the best way to understand AI internals. The conversation aims to be technical without ...

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...

Very few organizations have enough iron to train a large language model in a reasonably short amount of time, and that is why most will be grabbing pre-trained models and then retraining the ...

The current AI model market, led by large language models (LLMs), is dominated by the U.S. and China. While American tech giants like OpenAI (ChatGPT), Google (Gemini), and Anthropic (Claude) have ...

Model blending has emerged as a game-changing technique that levels the playing field in the world of AI language models. Traditionally, creating state-of-the-art models required extensive expertise, ...

In December, DeepSeek earned itself headlines for cutting the dollar cost of training a frontier model down from $61.6m to just $6m. Photo: Reuters As recently as 2022, just building a large language ...