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 ...
Geeky Gadgets

Unlock the Full Power of DeepSeek R1 by Fine-Tuning Its Reasoning Tasks

Fine-tuning a large language model (LLM) like DeepSeek R1 for reasoning tasks can significantly enhance its ability to address domain-specific challenges. DeepSeek R1, an open source alternative to ...
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 ...
SiliconANGLE

Predibase debuts LoRA Land: 25 open-source LLMs that can be fine-tuned for almost any AI use

Low-code artificial intelligence development platform Predibase Inc. said today it’s introducing a collection of no less than 25 open-source and fine-tuned large language models that it claims can ...
Unite.AI

AI Delinquency Due to Overtraining, Not Fine-Tuning, Research Finds

New research suggests ‘rogue AI’ behavior often appears only after models are pushed too far in training, and that most ...
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 ...