[Webinar] Lessons from the Trenches: Implementing and Optimizing LLMs

In today's era of technological innovation, Large Language Models (LLMs) stand at the forefront of artificial intelligence applications. This Webinar presents a unique opportunity to explore the real-world experiences and expert insights on the development, deployment, and optimization of these groundbreaking systems.

The session is structured as a fireside chat, moderated by: Vikram Chatterji, Co-founder and CEO at Galileo.

Joining Vikram for the conversation are:
Valliappan Narayanan, Associate Director of Engineering at AT&T Inc: A technology management expert, Valliappan will shed light on the challenges of scaling and deploying LLMs within large corporations, based on his hands-on work at AT&T.

Nishan Subedi, Head of Marketplace DSML, Director of Engineering at Doordash: Providing insights into the data science and machine learning landscape within the fast-paced marketplace ecosystem, Nishan will discuss the practical application of LLMs at Doordash.

Jayeeta Putatunda is a Senior Data Scientist with several years of industry experience in Natural Language Processing (NLP), Statistical Modeling, Product Analytics and implementing ML solutions for specialized use cases in B2C as well as B2B domains. Currently, Jayeeta works at Fitch Ratings, a global leader in financial information services.

Together, they will explore key areas such as:
1. Design Principles: How to tailor LLMs for specific applications and requirements.
2. Optimization Techniques: Methods and best practices for enhancing model performance.
3. Scalability Challenges: Insights into overcoming hurdles in large-scale deployment.
4. Real-World Deployment: Firsthand experiences in implementing LLMs across various industries.
5. Ethical Considerations and Bias Mitigation: Strategies for responsible AI development.
6. Performance Monitoring and Maintenance: The ongoing work of ensuring optimal model functionality.

Join this candid and insightful conversation and get a rare glimpse into the minds of industry leaders who have been on the front lines of LLM implementation and optimization.