In this video presentation from our friends over at FourthBrain we have a timely presentation by Jeff Boudier, Product Director at Hugging Face, to discuss building machine learning apps with Hugging Face from LLMs to diffusion modeling.
Video Highlights: Building Machine Learning Apps with Hugging Face: LLMs to Diffusion Modeling
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.
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.
Slidecast: Ashwin Rajeeva, Co-founder & CTO of Acceldata Discusses Data Observability
In this slidecast presentation, Ashwin Rajeev from Acceldata describes the company’s data observability solutions. Acceldata solutions allow you to gain comprehensive insights into your data stack to improve data and pipeline reliability, platform performance, and spend efficiency.
Video Highlights: Measuring Data Team ROI
In this video presentation from our friends over at Monte Carlo we have an all-woman panel to discuss the process of measuring data team ROI, specifically how to track and scale the impact of data teams.
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.
Video Highlights: Copilot for R
Our video highlights selection for today is by data science industry luminary David Smith who made a presentation to the NYC Data Hackers on the topic of Copilot for R. If you haven’t come across Copilot before, it’s like an AI-based pair programmer that suggests new lines of code, and perhaps entire functions, based on context.
Video Highlights: Distributed Python with Ray
This is an introductory and hands-on guided tutorial of Ray2.0 that covers an introductory, hands-on coding tour through the core features of Ray, which provides powerful yet easy-to-use design patterns for implementing distributed systems in Python.
Data Science 101: The Data Science Process
Welcome to insideBIGDATA’s Data Science 101 channel brining you perspectives for the topics of the day in data science, machine learning, AI and deep learning. Many of the video presentations come from my lectures for my Introduction to Data Science class I teach at UCLA Extension. In today’s slide-based video presentation I discuss The Data Science Process, an overview of the steps that data scientists use solving problems with data science and machine learning technologies.
Video Highlights: Attention Is All You Need – Paper Explained
In this video presentation, Mohammad Namvarpour presents a comprehensive study on Ashish Vaswani and his coauthors’ renowned paper, “Attention Is All You Need.” This paper is a major turning point in deep learning research. The transformer architecture, which was introduced in this paper, is now used in a variety of state-of-the-art models in natural language processing and beyond. Transformers are the basis of the large language models (LLMs) we’re seeing today.