Video Higlights: Humanizing Digital Banking with Generative AI

In the video presentation below, our friends over at DeepBrain explore how video synthesis technology can be used to bring a human touch to digital banking.

NVIDIA Brings Generative AI to World’s Enterprises With Cloud Services for Creating Large Language and Visual Models

To accelerate enterprise adoption of generative AI, NVIDIA announced a set of cloud services that enable businesses to build, refine and operate custom large language models and generative AI models that are trained with their own proprietary data and created for their unique domain-specific tasks.

Video Highlights: GPT-4 Developer Livestream

Here is Greg Brockman, President and Co-Founder of OpenAI, for a March 14, 2023 developer demo showcasing GPT-4 and some of its capabilities/limitations. Included are a number of very compelling new use case capabilities over the previous GPT-3.5 version.

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.

Lightning AI Releases PyTorch Lightning 2.0 and a New Open Source Library for Lightweight Scaling of Machine Learning Models 

Lightning AI, the company accelerating the development of an AI-powered world, today announced the general availability of PyTorch Lightning 2.0, the company’s flagship open source AI framework used by more than 10,000 organizations to quickly and cost-efficiently train and scale machine learning models. The new release introduces a stable API, offers a host of powerful features with a smaller footprint, and is easier to read and debug.

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.

AI from a Psychologist’s Point of View

Researchers at the Max Planck Institute for Biological Cybernetics in Tübingen have examined the general intelligence of the language model GPT-3, a powerful AI tool. Using psychological tests, they studied competencies such as causal reasoning and deliberation, and compared the results with the abilities of humans. Their findings, in the paper “Using cognitive psychology to understand GPT-3” paint a heterogeneous picture: while GPT-3 can keep up with humans in some areas, it falls behind in others, probably due to a lack of interaction with the real world.

Typeface Emerges From Stealth With a Generative AI Application For Enterprise Content Creation and $65 Million in Funding 

Typeface, the generative AI application for enterprise content creation, is emerging from stealth to empower businesses to securely create exceptional, brand-personalized content faster and easier than ever before.