One day LLM Workshop - Economic Impact of LLMs (virtual)
Hosted by Toronto LLMs and GenAI Developers
Details
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The economic impact of LLMs (Large Language Models), is significant and has both positive and negative aspects. According to a recent study [1], around 80% of the U.S. workforce could have at least 10% of their work tasks affected by the introduction of LLMs. This indicates that LLMs have the potential to automate and streamline various job functions, leading to increased efficiency and productivity.
On the positive side, LLMs can provide organizations with tailored solutions to meet their specific needs and goals . They can be used to generate natural language requests and responses from various sources, such as customer signals and website data . LLMs also have the potential to be multi-modal, combining different types of input like images and text to generate output, making them valuable in a variety of contexts and use cases.
However, there are also challenges and risks associated with LLMs. One challenge is the requirement for significant hardware resources to operate LLMs, which may limit their accessibility to only a few labs in the world . Organizations also need to be aware of potential legal issues when using LLMs and take steps to mitigate risks. Additionally, the use of LLMs in production can be challenging, especially when it comes to retrieval and context size limitations.
# SCHEDULE
SEPTEMBER 25th (times are in ET):
- 12:00 Matt Fornito (Fractional & Advisory AI Executive); LLMs, Gen AI and Stakeholder Buy-in
SEPTEMBER 26th (times are in ET):
- 12:00 Matt McInnis (Founder @ Typist); Constructing Synthetic Datasets using LLMs
SEPTEMBER 27th (times are in ET):
- 12:00 Matt Lewis (Global Chief Artificial and Augmented Intelligence Officer @ iNIZIO Medical); Role of Human Factors in Adoption of Generative AI in Life Sciences:
SEPTEMBER 28th (times are in ET):
- 12:00 Monish Ghandi (Founder @ Gradient Ascent); Generative AI and ROI
SEPTEMBER 29th (times are in ET):
- 10:00 Josh Seltzer (CTO @ Nexxt Intelligence); Eliciting Business Insights at Scale with Conversational AI
- 11:00 Abhi Anand (Data Scientist @ Wattpad); Challenges and Solutions for LLMs in Production
- 12:00 Amir Feizpour (Founder @ Aggregate Intellect); SHERPA - Open Source Project Update
- 13:00 NETWORKING