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While the use of genAI tools for software development tools is soaring, flying under the radar are issues with code quality, security, and reuse.
Enterprises are rapidly adopting genAI to increase productivity and efficiency, but many are not taking a strategic approach implementing the technology. Because of that, many projects fail or end up costing far more than they should, without an ROI.
Online education sites are scrambling to create and link to courses in generative AI technology to meet an insatiable demand for skilled workers. Udemy's Scott Rogers details what's going on.
A number of startups and cloud service providers are beginning to offer tools to monitor, evaluate and correct problems with generative AI in the hopes of eliminating errors, hallucinations and other systemic problems.
Retrieval augmented generation, or 'RAG' for short, creates a more customized and accurate generative AI model that can greatly reduce anomalies such as hallucinations.
Spatial computing will usher in 'transformative change' across multiple industries, with special implications for medical care and delivery.
With AI 'sucking the air out of almost all non-AI investments in the whole tech world,' companies are cutting what they believe are unnecessary jobs — and replacing them with AI-skilled workers.
Large language models are the algorithmic basis for chatbots like OpenAI's ChatGPT and Google's Bard. The technology is tied back to billions — even trillions — of parameters that can make them both inaccurate and non-specific f
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.