About this Event
PLEASE NOTE THAT THIS SEMINAR WILL START ON WEDNESDAY, 10 AUGUST, 2022, AT 6:30 PM BST (LONDON TIME) (1.30 PM EDT (NEW YORK TIME))
This MLI Seminar is sponsored by the Machine Learning Institute Certificate (MLI). The speaker is a faculty member of the MLI.
FULL TITLE: DALL.E 2: Text-to-image generation
ABSTRACT
On 6th April 2022, OpenAI publicly announced DALL.E 2, a ground-breaking AI system that can create realistic images and art from a description in natural language. In this talk, we will explore how DALL.E 2 works from first principles, including how it combines several techniques such as CLIP image embeddings and diffusion models to produce a state-of-the-art text-to-image AI system. We will also discuss the potential future opportunities and implications of using DALL.E 2 and the risks of making powerful AI models commercially available through APIs.
BIOGRAPHY
David Foster is the co-founder of Applied Data Science Partners, a data science consultancy delivering bespoke solutions for clients. He holds an MA in Mathematics from Trinity College, Cambridge, UK and an MSc in Operational Research from the University of Warwick. He is a faculty member of the Machine Learning Institute and has won several international machine learning competitions. He is the author of Generative Deep Learning: Teaching Machines To Paint, Write, Compose and Play (O'Reilly), an acclaimed technical textbook focused on novel applications of deep learning to generative modelling.
ABOUT THE MLI
Website: https://mlinstitute.org/
The financial industry is presently being reshaped by technological advances founded on Artificial Intelligence (AI), especially Machine Learning (ML). ML is being successfully applied to asset pricing and hedging; risk management and portfolio construction; outlier detection; bet sizing; sentiment analysis; feature importance; credit ratings and analyst recommendations; order execution; big data analysis; controlling for effects and interactions; and more. Not only have ML methods proven their ability to perform better than traditional approaches, but also have been able to solve tasks that were beyond the reach of classical tools. ML is a powerful tool for analyzing large data sets, therefore it is highly useful in analyzing financial data, which is inherently massive. Large heterogeneous data sets demand development of novel methodology to better describe, and detect patterns.
In the 21st century, each quant developer, quant analyst, and trader must know ML. The emphasis is now on data-driven methods, which allow quants and traders to make breakthroughs that will have a profound impact on how finance works over the coming decades. According to Glassdoor data, "some of the most common job openings in AI and finance are for machine learning engineers... As companies establish the foundations for their AI functions, we're seeing employers hire more senior candidates to lead these new teams."
The Machine Learning Institute Certificate in Finance (MLI) enables the current and aspiring quants and traders to learn ML from world-leading experts working in the industry and the academe on both sides of the Atlantic. If you are already in full-time employment, going back to university to study ML may not be a viable option. The MLI is a comprehensive seven-month part-time course with weekly live lectures in London or globally online. The MLI is comprised of 2 levels, 5 primers, 8 modules, 32 lecture weeks, a practical final project and a final exam which can be taken from any global location online using our live invigilation platform. You can earn the highly regarded MLI certificate without leaving your current employment while you are planning your next big career move in the world of financial ML.
Event Venue & Nearby Stays
Pitching Area, Level39, One Canada Square, London, United Kingdom
GBP 0.00