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.

MemRL outperforms RAG on complex agent benchmarks without fine-tuning

MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning.
The Next Platform

From RAG To Fine-Tuning, Data Management Enriches AI Results

COMMISSIONED: As an IT leader, you know that data management is one of the critical ingredients for cultivating successful AI initiatives. One does not simply walk into an AI implementation without ...
ZDNet

Make room for RAG: How Gen AI's balance of power is shifting

Much of the interest surrounding artificial intelligence (AI) is caught up with the battle of competing AI models on benchmark tests or new so-called multi-modal capabilities. But users of Gen AI's ...
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 ...
Geeky Gadgets

How to fine tune AI models with no-code

Fine-tuning an AI model is like teaching a student who already knows a lot to become an expert in a specific subject. Instead of starting from scratch, we take a model that has learned from a vast ...