Open LLM Day 1.0
About Open LLM Day 1.0
Join us for the first edition of Open LLM Day, organized by Petavue in collaboration with MongoDB and BoldCap. Open LLM day is a one day conference for developers and data scientists from Technology and Product companies. This one day conference is organized in a lecture and workshop format, with an aim to provide developers an opportunity to discuss and understand the details of Large language models, including LLM architecture, LLM evaluations, LLM fine-tuning and RAG techniques. The conference aims to go into the depths of these topics, hence basic familiarity with LLM and its application is recommended.
Learning Outcomes
Deepen the understanding of what LLMs are. Understand their evolution, architecture, and their applications, with a special focus on NL-to-SQL use cases.
Gain hands-on experience with advanced RAG strategies through interactive workshops and real-world applications.
Learn and apply fine-tuning techniques like LoRA and PEFT for tailored model performance in specific tasks.
Registration
Ticket Price
Working Professional - Rs. 1299 early bird (vs Rs. 1499 regular)
Student - Rs. 799 early bird (vs Rs. 999 regular)
Register now to get early bird price!
Registration Process
Click "Request to Join" button, fill out your name, official email address, phone number and submit.
You will get a follow up email with a link to complete the registration and payment.
After you complete the payment, we will approve your registration and ticket will be sent.
Please use your official email address for registration. If you are a student, provide your institution email address.
Speakers
Jeyaraj V, Co-Founder & CTO, Petavue
Pranav Reddy, Co-Founder & CIO, Xylem AI
Agenda
Note that Petavue's research team has done a comprehensive research on benchmarking 15 different LLMs for NL-SQL use cases. Petavue CTO (Jeyaraj) will present his team’s work and discuss about benchmarking and evaluation process in the first session. You can find more details about the evaluation effort, the code and the entire results in this github project.
Recommended Prerequisites
Basic familiarity with Prompting and latest developments in LLM
Basic proficiency in Python
Foundational knowledge of deep learning principles and libraries such as TensorFlow and Pytorch
For any questions please contact:
Abiram Devnathan
Product Manager, Research
Petavue
Email - abiram@petavue.com
Contact - 8939581349