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 ...
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

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 ...
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.
TechCrunch

Instead of fine-tuning an LLM as a first approach, try prompt architecting instead

Amid the generative AI eruption, innovation directors are bolstering their business’ IT department in pursuit of customized chatbots or LLMs. They want ChatGPT but with domain-specific information ...
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 ...
eWeek

How to Train an LLM: A Simple, User-Friendly Guide

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...