ChatGPT is trained on the internet data and is bound to represent the same bias and inaccuracy that the internet is filled with.
Copycats, snake oil sellers, and doomsayers of AI are looking to make quick bucks by copying the real leaders, falsely claiming the use of AI, and downplaying the importance of the field and calling it fraudulent.
OpenAI has released ChatGPT as a service and product for everyone to use. But most of the ideas of generative models came out of Google Brain since 2011 and DeepMind in 2014. Same is the case with Facebook and FAIR since 2013.
The modern text-to-image art generators are based on principle of physics and the story is quite interesting.
Yann LeCun told AIM that there is not as much the scarcity of data as the scarcity of ways to take advantage of the data.
The private spacetech industry has been on the rise, and this partnership will strengthen ISRO’s vision of bringing out the potential from space innovators and entrepreneurs in India.
All the mentioned aspects like the use of AI, space missions, and orbital debris removal rely heavily on the development of observatories on Earth and the recent trends clearly indicate that notable efforts are underway.
Open sourcing of these projects and datasets has driven innovation and development from the developer community.
This BitTorrent-style running of large language models (LLMs) allows many times faster inference when compared to offloading on single systems, closer to 1 second per token. Parallel inference can reach hundreds of tokens per second.
There is a lot that the eyes of the machine can see
Developed by Kaveen Kumarasinghe (Kav-K), a computer engineering student at University of Waterloo, the server, called GPT3E, offers a robust, but simple interface of GPT-3 based chatbot along with a text-to-image art generator using DALL-E 2.
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