VentureBeat

Uh-oh! Fine-tuning LLMs compromises their safety, study finds

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More As the rapid evolution of large language models (LLM) continues, ...
Geeky Gadgets

How Unsloth Makes Fine-Tuning LLMs a Breeze to Boost AI Performance

Fine-tuning large language models (LLMs) might sound like a task reserved for tech wizards with endless resources, but the reality is far more approachable—and surprisingly exciting. If you’ve ever ...
VentureBeat

Cisco: Fine-tuned LLMs are now threat multipliers—22x more likely to go rogue

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Weaponized large language models (LLMs) ...
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 ...
Computer Weekly

LLMs explained: A developer’s guide to getting started

Since large language models (LLMs) and generative AI (GenAI) are increasingly being embedded into enterprise software, barriers to entry – in terms of how a developer can get started – have almost ...
TechCrunch

Amazon SageMaker HyperPod makes it easier to train and fine-tune LLMs

At its re:Invent conference today, Amazon’s AWS cloud arm announced the launch of SageMaker HyperPod, a new purpose-built service for training and fine-tuning large language models (LLMs). SageMaker ...
TechCrunch

Gradient raises $10M to let companies deploy and fine-tune multiple LLMs

Gradient, a startup that allows developers to build and customize AI apps in the cloud using large language models (LLMs), today emerged from stealth with $10 million in funding led by Wing VC with ...
Forbes

Micro LLMs: A Path To Enterprise Success With Generative AI

Five years ago, pioneering large language models (LLMs) like GPT and BERT had hundreds of millions of parameters. Today, Megatron-Turing Natural Language Generation (MT-NLP) has 530 billion parameters ...
Ars Technica

LLMs believe false statements even after explicit warnings that they’re false

Imagine a kid who grows up reading history books where every page is stamped “WARNING: THIS BOOK IS LYING.” You’d expect them to come away skeptical, or at least uncertain. New research on so-called ...