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

This new framework lets LLM agents learn from experience, no fine-tuning required

A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...
Hosted on MSN

Master Google Colab for smooth LLM projects

Google Colab offers a free, browser-based way to run large language models without expensive hardware. With GPU acceleration, essential libraries, and smart memory optimization, you can prototype and ...
Geeky Gadgets

Build and Fine-Tune LLMs in Record Time with LangGraph Studio

Have you ever found yourself frustrated by the slow pace of developing and fine-tuning language model assistants? What if there was a way to speed up this process while ensuring seamless collaboration ...
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

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 ...
SiliconANGLE

OpenPipe raises $6.7M to help developers fine-tune lightweight but powerful LLMs

A generative artificial intelligence startup called OpenPipe Inc. is hoping to make the power of large language models more accessible after closing on a $6.7 million seed funding round. Today’s round ...
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.