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 ...
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 ...
Neowin

Databricks speeds up LLM fine tuning with better results, here's how you can get access

Databricks has unveiled Test-time Adaptive Optimization (TAO), a new fine-tuning method for large language models that slashes costs and speeds up training times. Databricks has outlined a new ...
Geeky Gadgets

How to fine tune Llama 3 Large Language Model (LLM) from Meta

Last week Meta (formally Facebook) released its latest large language model (LLM) AI model in the form of Llama 3. A powerful AI tool for natural language processing, but its true potential lies in ...
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 ...
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 ...
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.
MUO on MSN

I tried an abliterated local LLM and it feels nothing like the others

I tried unrestricted AI. It’s a different world ...
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 ...