Video Highlights: Generative AI with Large Language Models

At an unprecedented pace, Large Language Models like GPT-4 are transforming the world in general and the field of data science in particular. This two-hour training video presentation by Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, introduces deep learning transformer architectures including LLMs.

The White House Meets with 7 Big Tech Companies – Releases Commitments on Managing AI

The White House has just announced that that it accepting pledges from a number of high-profile tech companies for the safe development of AI. The Fact Sheet for today’s meeting can be found here. Seven companies — Google, Microsoft, Meta, Amazon, OpenAI, Anthropic and Inflection — convened at the White House today to announce the voluntary agreements.

Video Highlights: Ultimate Guide To Scaling ML Models – Megatron-LM | ZeRO | DeepSpeed | Mixed Precision

In this video presentation, Aleksa Gordić explains what it takes to scale ML models up to trillions of parameters! He covers the fundamental ideas behind all of the recent big ML models like Meta’s OPT-175B, BigScience BLOOM 176B, EleutherAI’s GPT-NeoX-20B, GPT-J, OpenAI’s GPT-3, Google’s PaLM, DeepMind’s Chinchilla/Gopher models, etc.

Generative AI Report: Qlik Debuts Suite of OpenAI Connectors, Bringing Power of Generative AI Directly into the Qlik Analytics Experience

Welcome to the Generative AI Report, a new feature here on insideBIGDATA with a special focus on all the new applications and integrations tied to generative AI technologies. We’ve been receiving so many cool news items relating to applications centered on large language models, we thought it would be a timely service for readers to start a new channel along these lines. The combination of a large language model, fine tuned on proprietary data equals an AI application, and this is what these innovative companies are creating. The field of AI is accelerating at such fast rate, we want to help our loyal global audience keep pace.

Generative AI Report: DaaS Startup Facteus Launches Mobius

Welcome to the Generative AI Report, a new feature here on insideBIGDATA with a special focus on all the new applications and integrations tied to generative AI technologies. We’ve been receiving so many cool news items relating to applications centered on large language models, we thought it would be a timely service for readers to start a new channel along these lines. The combination of a large language model, fine tuned on proprietary data equals an AI application, and this is what these innovative companies are creating. The field of AI is accelerating at such fast rate, we want to help our loyal global audience keep pace.

Video Highlights: AI, A Mirror to Human Intelligence

Curious about generative AI? Interested in a behind-the-scenes look? Join Dr. Kjell Carlsson as he sits down with Steven Levy, best-selling author and Editor at Large at WIRED. In the video presentation below, Steven shares insights he’s built over the past four decades writing about AI and the people (like Marvin Minsky) and companies (like Google and Facebook) that have brought us to where we are today.

#insideBIGDATApodcast: Should We, and Can We, Put the Brakes on Artificial Intelligence?

Appearing on the New Yorker Radio Hour, Sam Altman, CEO of OpenAI, which created ChatGPT, says that AI is a powerful tool that will streamline human work and quicken the pace of scientific advancement. But ChatGPT has both enthralled and terrified us, and even some of AI’s pioneers are freaked out by it – by how quickly the technology has advanced. 

Video Highlights: Fine Tune GPT-J 6B in Under 3 Hours on IPUs

Did you know you can run GPT-J 6B on Graphcore IPU in the cloud? Following the now infamous leaked Google memo, there’s been a real storm in the AI world recently around smaller, open source language models, like GPT-J, that are cheaper and faster to fine-tune, run and perform just as well as larger models for many language tasks. 

Power to the Data Report: Introduction to H2O.ai

H2O.ai is a company that provides artificial intelligence (AI) and machine learning (ML) platforms and solutions. The company was founded in 2014 by a group of engineers and scientists who were passionate about making AI more accessible to everyone. H2O.ai’s mission is to “democratize AI” by making it easier for businesses and individuals to use AI to solve problems.

Video Highlights: Introduction to Explainable AI

Responsible AI is reaching new heights these days. Companies have started exploring Explainable AI as a means to explain the results better to senior leadership and increase their trust in AI Algorithms. This workshop presentation, conducted by Supreet Kaur, Assistant Vice President at Morgan Stanley, will entail an overview of this area, importance of it in today’s era, and some of the practical techniques that you can use to implement it.