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Retrieval augmented generation, or 'RAG' for short, creates a more customized and accurate generative AI model that can greatly reduce anomalies such as hallucinations.
Only a week after releasing Gemini 1.0, Google has pushed out for testing its latest multimodal AI model; it offers long-context understanding that can accept more than one million tokens.
Thomson Reuters spent years building an AI platform to cull through massive troves of data and documents for its legal, global trade and compliance clients. But when generative AI came along, the company was forced to up its game.
Generative AI tools, apps and services that use the processing power on edge devices can access data locally, return faster results, and they're more secure.
Wine Enthusiast, an online retailer of all things wine, used genAI to monitor tens of thousands of customer calls, gaining insights into why consumers were calling and using that data to quickly catch and fix product defects.
Patronus' SimpleSafetyTests checks outputs from AI chatbots and other LLM-based tools to detect anomalies. The goal is to evaluate whether a model is going to fail — or is already failing.
GenAI's meteoric rise will not slow anytime soon, as companies transition from early experimentation to aggressive infrastructure and trained data model building.
Microsoft's newest small language model is purported to be faster than large language models 25 times its size.
The new large language model will be available in three sizes for different purposes, including use in data centers and on mobile devices.
New tools that can corrupt digitized artwork and other copyrighted materials are emerging to thwart generative AI models that scrape the internet to learn and provide content.
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