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 ...
techtarget

How to train an LLM on your own data

General-purpose large language models are convenient because businesses can use them without any special setup or customization. However, to get the most out of LLMs in business settings, ...
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 ...
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 ...
InfoQ

Google OpenRL is an Experimental Self-hosted API for LLM Post-Training Fine-Tuning

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Computerworld

Democratizing AI adoption with Tether’s Bitnet LLM fine-tuning framework

“The future of AI should be accessible, available, and open to people and builders everywhere, and it should not require an absurd amount of resources only available to a handful of cloud providers,” ...
VentureBeat

Thinking Machines' first official product is here: meet Tinker, an API for distributed LLM fine-tuning

Thinking Machines, the AI startup founded earlier this year by former OpenAI CTO Mira Murati, has launched its first product: Tinker, a Python-based API designed to make large language model (LLM) ...
BIOENGINEER

Mutex-Based Federated Learning Brings Full LLM Fine-Tuning to Edge Devices

Researchers at Marmara University have designed a Mutex-based sequential federated learning architecture that enables full fine-tuning of TinyLlama-1.1B on resource-constrained edge devices, achieving ...
techtarget

What is fine-tuning in machine learning and AI?

Fine-tuning is the process of taking a pretrained machine learning model and further training it on a smaller, targeted data set. The aim of fine-tuning is to maintain the original capabilities of a ...