Artificial Intelligence | News, analysis, features, how-tos, and videos
Among the news from OpenAI's first developer conference, here are three products or platforms that might pique your interest for a generative AI project — plus one new open-source alternative in response.
Microsoft and Oracle have entered into a multiyear agreement to support inferencing of AI models that are being optimized to power Bing’s conversational searches.
xAI team has warned that the chatbot is a “very early beta product” and has been unveiled with just two months of training.
Hackers have infiltrated a tool your software development teams may be using to write code. Not a comfortable place to be.
Vector databases and search aren’t new, but vectorization is essential for generative AI and working with LLMs. Here's what you need to know.
There’s a lot of talk but not many actual implementations of generative AI in the cloud. Better to have all the pieces in place before launching expensive projects.
Cortex is designed to help streamline the development of data-driven applications, use cases, AI and ML models, and foundation models from Snowpark.
We can dramatically increase the accuracy of a large language model by providing it with context from custom data sources. LangChain makes this integration easy.
As GPU-accelerated databases bring new levels of performance and precision to time-series and spatial workloads, generative AI puts complex analysis within reach of non-experts.
In the rush to AI, vendors should remember that developers have a lot of clout with IT spending. Helping developers will translate to growth at the bottom line.