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 ...
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 ...
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.
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 ...
JD Supra

AI Trends For 2024 - Retrieval-Augmented Generation (Rag) To Generate Richer Outputs

In 2023, generative AI took center stage—the year was filled with rapid advancements in the capabilities of large language models (LLMs). Heading into 2024, businesses continue to see great potential ...
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, ...
EurekAlert!

Improving question answering over building codes by evaluating retrievers and fine-tuning LLMs

Researchers have focussed on building a QA system which can answer query of user from building code and reduces the laborious traditional way of manual querying. One possible solution to build a ...