2 day, in person workshop
20 Bay Street
Dr. Chan & Dr. Hunter
Email us: info@predictnow.ai
This is a 2-day in-person hands-on workshop to explore how asset managers can use a large language model (LLM) such as OpenAI’s GPT-3.5 models to compute sentiment ratings on public companies. The workshop hosts (Dr. Ernest Chan, Founder and CEO of Predictnow.ai, and Dr. Roger Hunter, Chief Technology Officer at QTS Capital Management) will provide an overview of the capabilities and limitations of LLMs, and then demonstrate how we can easily use GPT-3.5 to compute sentiment scores of companies that result in similar outcomes as expensive sentiment products. We will then break into small groups to explore and experiment with variations and improvements on the basic code, as well as brainstorm other use cases of LLM for asset management.
The workshop will be held on October 2-3, 2023 at 20 Bay Street in Toronto, where deep learning, the foundational technology behind GPT, was born.
Use the code EARLYBIRD50 to save 50% ($1000 USD) on your ticket purchase. Applicable to first 10 registrants only.
While the intended audience for this event includes, asset managers, venture investors, entrepreneurs, product developers, regulators, finance and AI researchers. If you fall into another category but feel like you would be a good fit for this workshop, send us an email at info@predictnow.ai and we can help clarify any questions you have.
Founder and CEO of Predictnow.ai
CTO of QTS Capital Management
Dr. Lisa Huang
Head of AI Investment Management, Fidelity Investments.
01
Large Language Models (LLMs) and Generative Pre-trained Transformers (GPT)
02
Building Applications
03
Risks Associated with LLMs
04
Using GPT for sentiment analysis
05
Deploying GPT and Other Language Models in Production
October 2, 2023: 9:00 am-5:00pm
October 3, 2023: 9:00 am-5:00pm
Rostie Group
20 Bay St. Toronto
Food and refreshments will be provided throughout the duration of both days. Please let us know in advance if you have an dietary restrictions or require any accommodations.
Use the code EARLYBIRD50 to save 50% ($1000 USD) on your ticket purchase. Applicable to first 10 registrants only.