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Microsoft’s open-source, hardware-aware optimization tool for ONNX models is an essential part of its AI application development tool chain.
While short-sighted companies may look to AI to cut jobs and costs, smart companies will use AI to increase productivity and agility. Just as they did with open source and cloud.
The Delta Lake updates aim at helping data professionals create generative AI capabilities for their enterprise with foundation models from MosaicML and Hugging Face, among others.
Some 60% of API developers use generative AI to help them code, according to a Postman survey of more than 40,000 developers and API professionals.
Amazon CodeWhisperer, Google Bard, and GitHub Copilot X plod through our AI pair programming challenge. Each tool has its strengths, and none of them are perfect.
Databricks will add MosaicML's model-training capabilities to its lakehouse platform.
Software engineers using AI will be astonishingly more capable than either engineers or AI working alone. If we do this right.
In addition to integrating Google Cloud’s Vertex AI foundation models, MongoDB is adding features aimed at making Atlas a complete developer data platform.
No one doubts the power of AI, but enterprises must realize it can also lead to deploying too many applications, scaling problems, and cost overruns.
Apple has been innovating with AI for a long time, but it focuses on the magic of the user experience, not the tech. There's a lesson here, especially since GenAI isn't always the right tool.