In this article, we will understand the concept of Large Language Models (LLMs) and their importance in natural language processing.
Simon wohlfahrt / AFP / getty images.
“It’s controversial, so people are for it or against it,” Mauritshuis press officer Boris de Munnick told AFP. “The people who selected this, they liked it, they knew that it was AI, but we liked the creation. So we chose it, and we hung it,” he added.
Google will soon offer ways to generate text and images using machine learning in its Workspace products as part of a scramble to catch up with rivals in the new AI race.
Google has announced a suite of upcoming generative AI features for its various Workspace apps, including Google Docs, Gmail, Sheets, and Slides.
Google is pumping its productivity apps full of AI.
Continue reading “Google announces AI features in Gmail, Docs, and more to rival Microsoft” »
OpenAI has released a powerful new image-and text-understanding AI model, GPT-4, that the company calls “the latest milestone in its effort in scaling up deep learning.”
GPT-4 is available today to OpenAI’s paying users via ChatGPT Plus (with a usage cap), and developers can sign up on a waitlist to access the API.
Pricing is $0.03 per 1,000 “prompt” tokens (about 750 words) and $0.06 per 1,000 “completion” tokens (again, about 750 words). Tokens represent raw text; for example, the word “fantastic” would be split into the tokens “fan,” “tas” and “tic.” Prompt tokens are the parts of words fed into GPT-4 while completion tokens are the content generated by GPT-4.
Microsoft laid off an entire team dedicated to guiding AI innovation that leads to ethical, responsible and sustainable outcomes. The cutting of the ethics and society team, as reported by Platformer, is part of a recent spate of layoffs that affected 10,000 employees across the company.
The elimination of the team comes as Microsoft invests billions more dollars into its partnership with OpenAI, the startup behind art-and text-generating AI systems like ChatGPT and DALL-E 2, and revamps its Bing search engine and Edge web browser to be powered by a new, next-generation large language model that is “more powerful than ChatGPT and customized specifically for search.”
The move calls into question Microsoft’s commitment to ensuring its product design and AI principles are closely intertwined at a time when the company is making its controversial AI tools available to the mainstream.
Anthropic, a startup co-founded by ex-OpenAI employees, today launched something of a rival to the viral sensation ChatGPT.
Called Claude, Anthropic’s AI — a chatbot — can be instructed to perform a range of tasks, including searching across documents, summarizing, writing and coding, and answering questions about particular topics. In these ways, it’s similar to OpenAI’s ChatGPT. But Anthropic makes the case that Claude is “much less likely to produce harmful outputs,” “easier to converse with” and “more steerable.”
Organizations can request access. Pricing has yet to be detailed.
AI or bust. Right now, AI is what everyone is talking about, and for good reason. After years of seeing AI doled out to help automate the processes that make businesses run smarter, we’re finally seeing AI that can help the average business employee working in the real world. Generative AI, or the process of using algorithms to produce data often in the form of images or text, has exploded in the last few months. What started with OpenAI’s ChatGPT has bloomed into a rapidly evolving subcategory of technology. And companies from Microsoft to Google to Salesforce and Adobe are hopping on board.
What started with ChatGPT has bloomed into an entire subcategory of technology with Meta, AWS, Salesforce, Google, Microsoft all racing to out innovate and deliver exciting generative AI capabilities to consumers, enterprise, developers, and more. Exploring the rapid progress in the AI space.
Now its building one that even bigger and even more sophisticated.
Nearly five years ago, a little-known company approached Microsoft with a special request to put together computing horsepower to the scale it had never done before. Microsoft then spent millions of dollars in putting together tens of thousands of powerful chips to build a supercomputer. OpenAI used this to train its large language model, GPT, and the rest, as they say, is history.
Microsoft is no stranger to building artificial intelligence (AI) models that help users work more efficiently. The automatic spell checker that has helped millions of users is an example of an AI model trained on language.
Continue reading “Microsoft spent millions to put together a supercomputer for OpenAI” »
A robot that dissolves into a puddle after exposing itself to heat and UV light could one day be used to securely gather intelligence and then destroy itself before it falls into the wrong hands.
