Here's an example of text summarization with an explanation intended for people who are not computer programmers -- and with an emphasis on the implications for a business that wants to implement a text summarization model.
- By Pure AI Editors
- 07/01/2024
We asked a data scientist to explain the terms in enough detail to provide useful information, but not so much detail to make your head explode.
- By Pure AI Editors
- 05/01/2024
In the second installment of our new series we asked Prof. Ahmed Banafa, a lecturer of interdisciplinary engineering at San José State University five questions about the current state and future impact of AI.
- By John K. Waters
- 04/09/2024
Researchers are looking at adapting LLM techniques that have revolutionized natural language to see if they can be applied to time series regression problems and provide a gigantic leap in capability.
- By Pure AI Editors
- 04/08/2024
AI safety testing is a team sport, says the maker of the Claude AI models and chatbot, and "the best way to avoid societal harm" caused by AI.
Addressing the most likely next significant step in the evolution of AI agents are systems where multiple agents can interact with each other, and with humans.
- By Pure AI Editors
- 03/01/2024
In the first installment of our new series we asked Noelle Russell, founder and Chief AI Officer at the AI Leadership Institute, five questions about ethical AI.
- By John K. Waters
- 02/19/2024
Is this the year AI grows up? How are enterprises today actually using generative AI? And what do tech vendors really mean when they call an LLM "private"?
An inside look at how Microsoft's AI sausage is made, responsibly.
Why context windows are important, the AGI lie, mastering the RAG pattern, the three steps to LLM nirvana, and why you should never, ever, skip step two.