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 ...
InfoQ

Unsloth Tutorials Aim to Make it Easier to Compare and Fine-tune LLMs

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 ...
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 ...
Geeky Gadgets

How to easily fine-tune Llama 2 LLM models in just 5 minutes

If you are interested in learning more about how to fine-tune large language models such as Llama 2 created by Meta. You are sure to enjoy this quick video and tutorial created by Matthew Berman on ...
Geeky Gadgets

How to fine tune Llama 2 70B LLM on consumer-grade hardware

The world of artificial intelligence has seen a significant leap forward with the advent of large language models (LLMs) like the Llama 70B. These models have the potential to revolutionize various ...
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 ...