Apple brings out Core AI, a unified on-device framework that runs LLMs up to 70B parameters across iPhone, iPad, Mac, and Vision Pro.

Sophisticated AI models tend to require a lot of memory and take up a lot of storage space. One of the ways to reduce that ...

Before diving into the internals of an LLM, it’s a good idea to first understand what an LLM actually is. In this blog, we will learn about BPE (Byte Pair Encoding) - the tokenization algorithm used ...

Qwen 3.6 27B actually gave me better answers in basically every test.

This section covers different quantization methods, including GGUF, AWQ, PTQ, GPTQ, and QAT, elucidating their mechanisms and applications in LLM optimization. Each sub-section provides learning ...

> This article is the Part 1: Large-Scale Edition (Over 70B / Large MoE) of a 3-part series on the "Top 10 Uncensored LLMs." It will be followed by Part 2 (Mid-Scale 20–50B) and Part 3 (Small-Scale ...

Why AI tokens will send your enterprise cloud bill sky-high again ...