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 ...

Fine-tuning forgets. RAG leaks context. Hypernetworks build the model your agent needs on demand.

Why AI agents stall in production: fine-tuning forgets, RAG leaks context. Hypernetworks generate a task-specific model from your policies at inference time.
VentureBeat

MemRL outperforms RAG on complex agent benchmarks without fine-tuning

A new technique developed by researchers at Shanghai Jiao Tong University and other institutions enables large language model agents to learn new skills without the need for expensive fine-tuning. The ...
Finextra

Why Consumer Banking's AI is Built Entirely on RAG and Supervised Fine-Tuning

Since 2022, the conversation around AI in consumer banking has hardly moved past simple chatbots and fraud detection. The "next frontier" is supposedly a system capable of conducting nuanced, secure ...
Geeky Gadgets

How Unsloth Makes Fine-Tuning LLMs a Breeze to Boost AI Performance

Fine-tuning large language models (LLMs) might sound like a task reserved for tech wizards with endless resources, but the reality is far more approachable—and surprisingly exciting. If you’ve ever ...
ZDNet

OpenAI's budget GPT-4o mini model is now cheaper to fine-tune, too

A popular strategy for engaging with generative AI chatbots is to start with a well-crafted prompt. In fact, prompt engineering is an emerging skill for those pursuing career advancement in this age ...
The Next Web

Workshop: Small Models, Big Impact — Fine-Tune SLMs for RAG

Join Kickstart AI and Distil Labs for a hands-on workshop focused on fine-tuning Small Language Models (SLMs) for Retrieval-Augmented Generation (RAG). This session is designed for data scientists, ...