One AI Introduces CutGPT, a Slim and Task-Oriented Generative AI Solution

One AI, the language AI platform that enable businesses to tune and deploy generative AI capabilities in days, has announced the release of CutGPT, a slim and task-oriented generative AI solution.

ChatGPT & LLMs in the Enterprise: Best Practices & Applications

While OpenAI’s ChatGPT, Microsoft’s Bing, and Google’s Bard have received a lot of public attention in the past months, it is important to remember that they are specific products built on top of a class of technologies called Large Language Models (LLMs). Our friends over at Dataiku have put together a new report to learn how to use LLMs like GPT-4 in an enterprise context — beyond the simple web interface provided by products like ChatGPT.

Latest Version of Zilliz Cloud Aims to Cure AI ‘Hallucinations’

Zilliz Cloud is the managed service from Zilliz, the inventors of Milvus, the open source vector database used by more than 1,000 enterprises around the world. It’s purpose-built for AI and other applications powered by unstructured data. It represents data as high-dimensional vectors, or embeddings — the kind generated by machine-learning models.

Chat GPT-3 Statistics: Is the Future Already Here?

Our friends over at Tidio just released a new study on ChatGPT and what society thinks of it, supported by a number of compelling visuals. The study includes a variety of interesting data, as well as a selection of cool use cases of ChatGPT with prompt examples.

Video Highlights: Yann LeCun and Andrew Ng: “AI Doomers” and Why the 6-month AI Pause is a Bad Idea

In this Video Highlights feature, two respected industry luminaries, Andrew Ng and Yann LeCun, they discuss the proposal of a 6-month moratorium on generative AI. The discussion offers reasonable perspectives for how generative AI has turned the world on edge.

Don’t overlook independence in Responsible AI

In this contributed article, Dr Stuart Battersby, Chief Technology Officer of Chatterbox Labs, has the aim to raise awareness of a key issue in the field of Responsible AI (aka Ethical AI or Trustworthy AI), and that is the issue of independence.

Research Highlights: Real or Fake Text? We Can Learn to Spot the Difference

A team of researchers at the University of Pennsylvania School of Engineering and Applied Science is seeking to empower tech users to mitigate risks of AI generated misinformation. In a peer-reviewed paper presented at the February 2023 meeting of the Association for the Advancement of Artificial Intelligence, the authors demonstrate that people can learn to spot the difference between machine-generated and human-written text.

Data Science Bows Before Prompt Engineering and Few Shot Learning 

In this contributed article, editorial consultant Jelani Harper takes a new look at the GPT phenomenon by exploring how prompt engineering (stores, databases) coupled with few shot learning can constitute a significant adjunct to traditional data science.

Infographic: Is AI the Next Gold Rush?

Our friends over at writerbuddy.ai analyzed over 10,000 AI companies and their funding data between 2015 and 2023. The data was collected from CrunchBase, NetBase Quid, S&P Capital IQ, and NFX. Corporate AI investment has risen consistently to the tune of billions.

Research Highlights: SparseGPT: Prune LLMs Accurately in One-Shot

A new research paper shows that large-scale generative pretrained transformer (GPT) family models can be pruned to at least 50% sparsity in one-shot, without any retraining, at minimal loss of accuracy. This is achieved via a new pruning method called SparseGPT, specifically designed to work efficiently and accurately on massive GPT-family models.