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The updates include new large language models and a capability to import custom models, which is currently in preview.
With public cloud providers chasing generative AI, it may be a surprise when dollars flow in other directions. Vendors and customers have a lot to consider.
Enterprise workflows desperately need what iPhone and Android users have enjoyed for years—ready access to files wherever and whenever they’re needed, regardless of where the files are physically located.
Low-code platforms aren't just for web forms and simple integrations anymore. Here are seven innovative ways small and large enterprises are stretching the limits of what low-code can do.
As cloud costs got out of control, we turned to cost optimization approaches and tools, and have little to show for it. What now?
Customer demand for more efficient methods and faster online data transfer capabilities have led AWS to exit the data trucking business.
The OpenAI Assistants API, used to build AI assistants, has been updated with faster and expanded file search, vector stores, and a new tool choice parameter.
Qdrant Hybrid Cloud is based on the open-source Qdrant vector similarity search engine and vector database written in Rust.
Let’s not make the same mistakes we did 10 years ago. It is possible to deploy large language models in the cloud more cost-effectively and with less risk.
A recent study shows that the cloud benefits the IT department more than other business areas. That’s not enough to make it a success.
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