Amazon recently announced the launch of a new $50 million program called the AWS Worldwide Public Sector Generative AI Impact Initiative, which offers public sector organizations (and "those that support them") free Amazon technical resources to support their Gen AI-based programs.
Participants will get free access to Amazon AI and infrastructure tools like:
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Microsoft Research's Dr. James McCaffrey is a well known technology and AI expert, and author of the popular column "The Data Science Lab," among others. And while he comes from the tech side, he also regularly thinks, writes and speaks about future of AI and its practical implications.
We here at AI Boardroom recently got a chance to ask Dr. McCaffrey about his thoughts on how AI is changing business and what advice he has for executives to stay ahead. Here's what he shared with us:
AI BOARDROOM: AI has always been used by businesses to help them innovate. Do you have any favorite examples?
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You're probably hearing a lot lately about AI chips or AI processors and how important they are for the coming AI age (and you've seen NVIDIA's stock reap the benefits!). What, exactly, makes an AI chip different, and what are the actual use cases? For example, are they only important for companies such as OpenAI that makes large LLMs? Can they help your company with its internal AI projects? Do you need them in your laptop if you're running software that has AI features? We'll look at all this and more and offer you links for further reading.
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Last week OpenAI announced Sora, its text-to-video generator -- and the results are, for the most part, pretty darn impressive. However, just like other AI text-to-video products, such as those from Google (VideoPoet), Meta (Make-A-Video) and Microsoft (Godiva), none of these services are available to the public yet. Rather, they are in "research mode" which means that beyond the lucky few chosen to participate in the pre-release trials, none of us really know how well they work beyond the examples given by the companies who created them.
In previous technical waves, when technologies were shown but not given access to -- especially those with major wow factors -- there was always a hint of "vaporware" in the mix. And although that could still be true to some level with text-to-video AI, there are a number of legitimate reasons that these companies could be holding off on expanding access.
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Here's the top gen AI news this past week:
- This appears to be a week for weird AI. As mentioned above, Google pulled Gemini for image issues, and earlier in the week, OpenAI basically had to "reset" ChatGPT/underlying models as they started spouting nonsense.
- On a positive note, Open AI announced that it's "improved the memory" of ChatGPT chats, basically making ChatGPT more intuitive and user-friendly.
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