InfoWorld

Four agentic AI memory systems for smarter LLMs

These third-party projects greatly expand the ways agents and LLMs can draw on facts, documents, and conversations to deliver ...
Computer Weekly

SLM series - Tabnine: A working combination of SLMs, LLMs (and the case for RAG)

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post written for the Computer Weekly Developer Network written by Ameya Deshmukh in ...
VentureBeat

Out-analyzing analysts: OpenAI’s Deep Research pairs reasoning LLMs with agentic RAG to automate work — and replace jobs

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Enterprise companies need to take note of ...
ZDNet

Want generative AI LLMs integrated with your business data? You need RAG

RAG is an approach that combines Gen AI LLMs with information retrieval techniques. Essentially, RAG allows LLMs to access external knowledge stored in databases, documents, and other information ...
Bloomberg L.P.

Bloomberg AI Researchers Mitigate Risks of “Unsafe” RAG LLMs and GenAI in Finance

NEW YORK – From discovering that retrieval augmented generation (RAG)-based large language models (LLMs) are less “safe” to introducing an AI content risk taxonomy meeting the unique needs of GenAI ...
Geeky Gadgets

RAG vs Long Context for LLMs : When Each Approach Works Best

Large Language Models (LLMs) have transformed natural language processing, but their limitations, such as fixed training data and lack of real-time updates, pose challenges for certain applications.
Hosted on MSN

One tiny change made my local LLMs more useful than ChatGPT for real work

As much as I adore my local LLMs, they can’t hold a candle to the reasoning capabilities of their cloud counterparts, and for good reason. ChatGPT, Perplexity, and other AI clouds can process hundreds ...