Bruno Janota

AI Research Engineering Sr. Manager, Lockheed AI Center (LAIC) Lockheed Martin

Bruno Janota leads a team of full-stack data scientists, ML engineers, and data engineers within the Lockheed Martin AI Center (LAIC). His team develops machine learning systems across the company for stakeholders in supply chain, quality, manufacturing, engineering, HR, IT, regulatory compliance, etc. across various domains (i.e. traditional regression/classification, forecasting, computer vision, NLP, anomaly detection, reinforcement learning, etc.) and is currently leading the team building generative AI applications for the enterprise. He studied Mechanical & Aerospace Engineering at Rutgers University for his undergrad and recently completed his Master's degree in Data Science from Harvard University.

Generative AI Week 2023 Day One: Tuesday,17 October 2023

12:10 PM Panel Discussion: Choosing the Right Training Data for Your LLMs & Exploring In-House LLMs

The success of a large language model (LLM) heavily depends on the quality of training data. In this session, we will discuss the steps you should take when deciding on the right training data for your LLM.& the next potential steps for your business as many move towards

·       Defining your specific problems, APIs and identifying the types of data required

·       Ensuring your training data is diverse, unbiased, and representative of your target audience

·       Continuously monitoring and refining your training data to improve the LLM's accuracy and minimize bias

·       Dissecting the use of synthetic data & digital twins

·       Exploring in-house LLMs - cost, requirements, challenges, outcomes

Check out the incredible speaker line-up to see who will be joining Bruno.

Download The Latest Agenda