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Generative AI like ChatGPT is truly exciting, and it's easy to be seduced by the technology's potential to produce, well, almost any sort of output. The opportunity in generative AI is enormous but requires careful analysis of where the best applications lie. Healthcare, in particular, requires this assessment – this isn't an industry known for fast change, and the risks of inappropriately deploying new technology can be huge. For instance, consider the hype around IBM's Watson Health a few years ago; this AI was going to figure out complex cancers! It didn't, and it was sold off cheaply in parts last year. This includes what people need to stop doing in order to start embracing the new solution.

Discover (and save!) your own Pins on Pinterest.

Discover (and save!) your own Pins on Pinterest.

Discover (and save!) your own Pins on Pinterest.

Discover (and save!) your own Pins on Pinterest.

Discover (and save!) your own Pins on Pinterest.

SnapGPT is a text recognition tool that extracts text from photos and responds to inquiries about the text using OCR technology and the OpenAI GPT-3 API. Users can scan documents, menus, warranties, recipes, and webpages rapidly. They can also extract keynotes, obtain guidance, get summaries, and much more. Users can save their data on their device or share it with friends, and it is never kept online. There is a free trial accessible without a credit card.

Embeddings are simple to develop, test, and utilise in apps thanks to Metal, an enterprise-ready, fully-managed ML storage platform. It can accept bespoke embeddings, interface with numerous vector databases, and organise the employment of top models to generate embeddings. Moreover, it provides OpenAI Ada, which adds intelligence to text, and OpenAI CLIP, which links text and images. Save my name, email, and website in this browser for the next time I comment.

Tesla's first-ever "Investor Day," hosted by CEO Elon Musk and his leadership team at the carmaker's Gigafactory in Texas on Wednesday, didn't quite end up being the sweeping, transformative moment that Tesla fans and funders had anticipated. Not for lack of promise--the event was chock-full of ambition, like a new "Master Plan" to have Tesla lead the clean-energy transition by expanding its green-tech manufacturing into products like heat pumps and batteries for energy storage. Also teased: a Gigafactory buildout in Mexico, an improved Supercharger, and two potential new vehicle models. But it was apparently a letdown: Musk demurred when asked for hard details on new Tesla products, and the company's stock--still the primary driver of the CEO's wealth--fell by about 7 percent following the event. To judge by the internet's reception, the most notable moment happened not during the core presentation, but during a Q&A at the very end, when an audience asked Musk about the artificially intelligent elephant in the room: "I'm curious for your thoughts on how generative A.I. and these rapid breakthroughs in A.I. in the last months could help you make cars less hard to make." Musk's closing response made for the most sober, halting portion of the entire four-hour event.