VentureBeat

Fine-tuning vs. in-context learning: New research guides better LLM customization for real-world tasks

Two popular approaches for customizing large language models (LLMs) for downstream tasks are fine-tuning and in-context learning (ICL). In a recent study, researchers at Google DeepMind and Stanford ...
Geeky Gadgets

How to Fine Tune your own LLM using LoRA (on a Custom dataset)

Imagine unlocking the full potential of a massive language model, tailoring it to your unique needs without breaking the bank or requiring a supercomputer. Sounds impossible? It’s not. Thanks to ...
Neowin

Databricks speeds up LLM fine tuning with better results, here's how you can get access

Databricks has unveiled Test-time Adaptive Optimization (TAO), a new fine-tuning method for large language models that slashes costs and speeds up training times. Databricks has outlined a new ...
Semiconductor Engineering

Largest High-Quality Verilog Dataset for LLM Fine-Tuning (Univ. of Florida)

A new technical paper titled “VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation” was published by researchers at the University of Florida.
Geeky Gadgets

Easily Fine-Tune AI Models Like a Pro with Google Tunix

Have you ever wondered how to transform a general-purpose language model into a finely tuned expert tailored to your specific needs? The process might sound daunting, but with the right tools, it ...
Forbes

Prompting, Fine-Tuning, RAG And AI Agents For Future Marketing

Prof. Aleks Farseev is an entrepreneur, keynote speaker and CEO of SOMIN, a communications and marketing strategy analysis AI platform. Large language models, widely known as LLMs, have transformed ...
VentureBeat

This new framework lets LLM agents learn from experience, no fine-tuning required

A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...
Forbes

Latest OpenAI Announcement Showcases How Reinforcement Fine-Tuning Makes Quick Work Of Turning Generative AI Into Domain-Specific Wizards

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the recently revealed feature ...

OVHcloud announces the acquisition of Dragon LLM, a developer of specialized generative AI models, and is launching its AI lab to offer new services to its customers based on LLMs

OVHcloud, a sovereign, global player and European leader in cloud, announces that it has signed a binding agreement to acquire Dragon LLM, an AI model fine-tuning platform designed for regulated ...
XDA Developers on MSN

Stop obsessing over your GPU's core clock — memory clock matters more for local LLM inference

Your self-hosted LLMs care more about your memory performance ...