Welcome to insideAI News’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
Dialpad’s “The State of AI at Work” Report Reveals 70% of Sales and Customer Service Professionals Don’t Fear That AI Will Steal Their Job
July 26, 2023 by
Dialpad — a leading AI-Powered Customer Intelligence Platform — announced findings from its 2023 Dialpad The State of AI at Work Report. Key findings reveal how sales and customer service professionals, across industries, are adopting artificial intelligence (AI) while breaking down the barriers to adoption including lack of budget and the importance of developing ethical guidelines and enhancing accessibility.
Video Highlights: Generative AI with Large Language Models
July 25, 2023 by
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.
Transfer Learning in Computer Vision
July 24, 2023 by
In this contributed article, Ihar Rubanau, Senior Software Developer at Sigma Software Group, discusses how transfer learning has become a popular technique in computer vision, allowing deep neural networks to be trained with limited data by leveraging pre-trained models. This article reviews the recent advances in transfer learning for computer vision tasks, including image classification, object detection, semantic segmentation, and more. The different approaches to transfer learning are discussed such as fine-tuning, feature extraction, and domain adaptation, and the challenges and limitations of each approach are highlighted. The article also provides an overview of the popular pre-trained models and datasets used for transfer learning and discusses the future directions and opportunities for research in this area.
Using Data and AI to Recession-Proof Your Retail Strategy
July 23, 2023 by
In this contributed article, Gladys Kong, Chief Operating Officer of Near, discusses how to recession proof retail strategy using data to understand customer behavior and market to them using omni channel marketing. She touches on some real-world examples of well-known retailers using data to accomplish great things, such as how Ikea has used technology to enhance their store experience, how Sephora’s loyalty program is driving ROI, and how Dollar General has launched a thriving new retail chain.
Generative AI Report: CommandBar Releases AI-Powered HelpHub to Overlay ChatGPT Onto Any Product
July 22, 2023 by
Welcome to the Generative AI Report, a new feature here on insideAI News 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.
The White House Meets with 7 Big Tech Companies – Releases Commitments on Managing AI
July 21, 2023 by
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
July 21, 2023 by
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.
Power to the Data Report Podcast: Large Language Models for Executives
July 20, 2023 by
Hello, and welcome to the “Power-to-the-Data Report” podcast where we cover timely topics of the day from throughout the Big Data ecosystem. I am your host Daniel Gutierrez from insideAI News where I serve as Editor-in-Chief & Resident Data Scientist. Today’s topic is “Large Language Models for Executives.” LLMs represent an important inflection point in the history of computing. After many “AI winters,” we’re finally seeing techniques like generative AI and transformers that are realizing some of the dreams of AI researchers from decades past. This article presents a high-level view of LLMs for executives, project stakeholders and enterprise decision makers.
POLL: Which Company Will Lead the LLM Pack?
July 19, 2023 by
Since the release of ChatGPT late last year, the world has gone crazy for large language models (LLMs) and generative AI powered by transformers. The biggest players in our industry are now jockeying for prime position in this lucrative space. The news cycle is extremely fast-paced and technology is advancing at an incredible rate. Meta’s announcement yesterday about Llama 2, the latest version of their large language model, being open sourced is a good example.
