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

New MLPerf Training Benchmark Results Highlight Hardware and Software Innovations in AI Systems

SAN FRANCISCO--(BUSINESS WIRE)--Today, MLCommons ® announced new results for the MLPerf ® Training v4.0 benchmark suite, including first-time results for two benchmarks: LoRA fine-tuning of LLama 2 ...
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 ...
SiliconANGLE

OpenAI rolls out new AI optimization features to its fine-tuning API

OpenAI today debuted a set of new tools that will make it easier to optimize its large language models for specific tasks. Most of the additions are rolling out for the company’s fine-tuning ...
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 ...
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 ...