Geeky Gadgets

How to fine tune AI models with no-code

Fine-tuning an AI model is like teaching a student who already knows a lot to become an expert in a specific subject. Instead of starting from scratch, we take a model that has learned from a vast ...
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 ...
VentureBeat

Microsoft, Beihang release MoRA, an efficient LLM fine-tuning technique

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Researchers from Microsoft and Beihang University have introduced a new ...
Business Wire

Snorkel Launches Advanced Data-Centric AI Capabilities for Evaluation and Fine Tuning of LLM and RAG Systems

REDWOOD CITY, Calif.--(BUSINESS WIRE)--Snorkel AI announced new capabilities in Snorkel Flow, the AI data development platform, to accelerate the specialization of AI/ML models in the enterprise.
InfoWorld

The limitations of model fine-tuning and RAG

The hype and awe around generative AI have waned to some extent. “Generalist” large language models (LLMs) like GPT-4, Gemini (formerly Bard), and Llama whip up smart-sounding sentences, but their ...
XDA Developers on MSN

I fine-tuned a 7B model to write my Home Assistant automations, and it actually works

It'll even run on a GPU with 8GB of VRAM!

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 ...
Morning Overview on MSN

Neuron-freezing method curbs LLMs from giving unsafe advice

A set of recent research papers proposes that freezing or selectively tuning a small fraction of neurons inside large language models can, in reported benchmark evaluations, reduce unsafe outputs ...