Performance. Top-level APIs allow LLMs to achieve higher response speed and accuracy. They can be used for training purposes, as they empower LLMs to provide better replies in real-world situations.

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

Meta’s most popular LLM series is Llama. Llama stands for Large Language Model Meta AI. They are open-source models. Llama 3 was trained with fifteen trillion tokens. It has a context window size of ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Fine-tune popular AI models faster with Unsloth on NVIDIA RTX AI PCs such as GeForce RTX desktops and laptops to RTX PRO workstations and the new DGX Spark to build personalized assistants for coding, ...

Thinking Machines Lab Inc. today launched its Tinker artificial intelligence fine-tuning service into general availability.

LLMs like ChatGPT, Gemini, and Claude now sit across search, content generation, and recommendations. Now, 80% of tech buyers rely on generative AI at least as much as traditional search to research ...

Right on the heels of announcing Nova Forge, a service to train custom Nova AI models, Amazon Web Services (AWS) announced more tools for enterprise customers to create their own frontier models. AWS ...

Picture an intelligence analyst, eyes glazed over, staring at a wall of monitors. It’s a scene we all know. A firehose of data is flooding in from a crisis overseas—signals, satellite photos, cables, ...

A new post on Apple’s Machine Learning Research blog shows how much the M5 Apple silicon improved over the M4 when it comes to running a local LLM. Here are the details. A couple of years ago, Apple ...

Portable handheld PC gaming is all the rage right now. But these little machines have some big limits, which means users need to carefully manage both their expectations and their hardware. For ...

Abstract: Large language models (LLMs) have demonstrated significant potential in code generation tasks. However, there remains a performance gap between open-source and closed-source models. To ...