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Google's new Customer Engagement Suite with Google AI offers omnichannel support, a multimodal approach, and uses an organization's internal resources to increase response accuracy.
The program will also offer developers technical guidance and support via OpenAI’s generative AI experts.
The average user doesn’t want (or isn’t able) to decide which model to use or how to finesse a useful prompt. We need software applications that can handle this.
As more organizations embrace AI, it is vital to document the policies and procedures that govern its use. Here are seven questions that define effective AI governance.
Vector databases don’t just store your data. They find the most meaningful connections within it, driving insights and decisions at scale.
Integration with PyTorch and ExecuTorch brings Arm computing performance to the machine learning stack for developers.
Java proponents see the language gaining traction in AI and machine learning as AI becomes incorporated into business logic.
Combining knowledge graphs with retrieval-augmented generation can improve the accuracy of your generative AI application, and generally can be done using your existing database.
According to OpenAI, o1 performs similarly to PhD students on challenging benchmark tasks in physics, chemistry, and biology, and even excels in math and coding.
The government’s intentions to promote cybersecurity for cloud-based AI are good, but its track record of successfully managing technology is poor.