Diginomica

Want better LLM results? Then it's time for AI evaluation tools - learning from Galileo's RAG and agent metrics

A consistent media flood of sensational hallucinations from the big AI chatbots. Widespread fear of job loss, especially due to lack of proper communication from leadership - and relentless overhyping ...
SiliconANGLE

Cohere adds support for custom data connectors to its flagship LLM

Cohere Inc., a well-funded artificial intelligence startup, today introduced a connector development tool for its flagship Command large language model. Customers can use the tool to build ...
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 ...
Forbes

What’s The RAGs? How To Unlock Explosive Marketing Success With AI

Retrieval-augmented generation (RAG) is a sophisticated technique used in large language models (LLMs) that combines the power of neural network-based text generation with the precision of information ...
Diginomica

Pure Storage and NVIDIA collaborate on RAG to customize generative AI and to help eliminate hallucinations

Pure Storage talks through how enterprises are thinking about training generative AI models in the future, with various different approaches - but particularly RAG. For much of 2023, the rise of ...
Forbes

Prompting, Fine-Tuning, RAG And AI Agents For Future Marketing

Prof. Aleks Farseev is an entrepreneur, keynote speaker and CEO of SOMIN, a communications and marketing strategy analysis AI platform. Large language models, widely known as LLMs, have transformed ...
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 ...