Shero
Mir

Generative AI Bootcamp

Virtual | Register by June 3

Georgian’s bootcamps provide an opportunity to experiment and ship AI products. With two days of hands-on tutorials followed by three full days of hacking and development.

This bootcamp focuses on advanced LLM topics including retrieval-augmented generation (RAG) systems, fine-tuning, LLM alignment and incorporating user feedback loops to support product adoption.

Get hands-on with practical business examples. Our goal is to help transition your prototypes into production-ready applications.

Thanks for your interest - registration is now closed.

Guest Speakers

More Coming Soon

Georgian
Partners

Azin Asgarian

AI Technical Lead

Rodrigo Ceballos

Machine Learning Engineer

Akash Saravanan

Machine Learning Scientist

Val Andrei Fajardo

Founding Engineer

Bryan
McCann

CTO

Julia Schottenstein

Head of GTM

Shenoah Plewes-Dudzik

UX researcher

Marc Stone

VP Growth & Data

Diego
Maniloff

ML Engineer

David
Berenstein

Developer Advocate

David
Emerson

Applied ML Scientist

Aishwarya
Naresh Reganti

Applied Scientist

Vidya Sagar Ravipati

Applied Science Manager

May 22

GenAI Year in Review

Setting the Stage for LLMs and RAG Systems

RAG II

Getting More From Your System: Elements of a Successful RAG

External Speaker

RAG I

Preparing your Data for RAG

May 23

RAG III

Safely and Securely Deploying Your RAG

Beyond RAG

Complementary and Alternative Tooling and Techniques

‍
‍

May 24 – 28

Hacking

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique.

Kyryl Truskovskyi

AI Technical Lead

Angeline Yasodhara

Machine Learning Scientist

Pashootan Vaezipoor

Machine Learning Scientist

May 22

GenAI Year in Review

Setting the Stage for LLMs and RAG Systems

RAG II

Getting More From Your System: Elements of a Successful RAG

External Speaker

RAG I

Preparing your Data for RAG

May 23

RAG III

Safely and Securely Deploying Your RAG

Beyond RAG

Complementary and Alternative Tooling and Techniques

‍
‍

May 24 – 28

Hacking

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique.

Ben Ye

Machine Learning Engineer

Rohit Saha

Machine Learning Scientist

Royal Sequeira

Machine Learning Engineer

Bootcamp Timeline

Preparations | Pre-bootcamp

↓

Kickoff Call | June 6
Get all the info you'll need for the bootcamp including logistics, timeline and what support you'll receive. We intend to cover a GenAI market overview as well as considerations for your use case identification.
‍
Use Case Identification | June 7 – 13
Before the bootcamp starts, we suggest selecting your use case and outlining a project plan. PMs and technical leads from Georgian can support you in formulating a strategy for your team's use case development, customized to your specific requirements and roadmap.
‍
Environment setup | June 13
We'll provide setup assistance and offer PM support for your team's high-impact use case development, customized to your specific requirements and roadmap.


Tutorials | June 17

↓

GenAI Year in Review

11 AM - 12 PM
This introductory session will cover a “State of the Union” of recent GenAI advances – the rise of retrieval-augmented generation (RAG) systems and some observations that have merged from working with our portfolio companies.

RAG I: Preparing your Data for RAG

12:30 PM - 1:45 PM
‍Explore how to manage data sources, embeddings and storage strategies, including indexing, which database is fit for your use case and how to deal with multi-modal data. We’ll also cover potential strategies for handling sensitive data.

RAG II: Elements of a Successful System

2:15 PM - 3:15 PM
In this session, we’ll cover a variety of methods such as retrieval strategies and re-ranking, advanced techniques like HyDE, and other optimization techniques for RAG systems.

Tutorials | June 18

↓

RAG III: Safe and Secure Deployment

11 AM - 12 PM
In this session, we explore the production aspects of RAG including serving, scaling, security, monitoring, evaluation and guard-rails.

GenAI Beyond RAG

12:30 PM - 1:45 PM
Explore different technologies and techniques beyond RAGs that can enhance your GenAI product, including fine-tuning, LLM alignment and multi-modal data and models.

User Feedback and Adoption

2:15 PM - 3:15 PM
Discover insights on UI/UX designs for incorporating user feedback loops to drive product adoption and usage.

Demos | June 19

↓

Demos from: LangChain, Argilla, LlamaIndex and more!

Hackathon | June 19-24

↓

Hack Days and Office Hours | June 19-24
Teams can opt to have 1:1 time with Georgian R&D team members and some guest speakers to answer questions and walk through the code.

Wrap Up and Presentations | June 25
Teams opt-in to present the outcomes of their bootcamp to each other and the judges will present the awards! 

Past Bootcamps

The previous instalments of our bootcamp series have seen 37+ POCs developed, with at least 12 either in production or on their way to production.

Georgian’s bootcamps give companies the opportunity to ship AI products, quickly. With two days of hands-on tutorials followed by three full days of hacking and development. Participants also get 1:1 support from the Georgian R&D team throughout.

Register Your Team
36
Companies Participating
200+
Participants
37+
POCs Developed
12+
POCs on the Path to Production

Suggested Team Makeup

We suggest that your team include the following skills

ML Practitioner

familiar with LLMs and prompt engineering

Product Manager

understands your product roadmap

Data Engineer

Familiar With Your Business’ Data

Familiarity with the concept of RAGs is useful, but not required. If you and your team are attending for education purposes only - no specific skills or background are needed.

Register for the bootcamp

Registration deadline: June 3

By registering for this event (the “Event”), you acknowledge and agree that your participation at the Event is in accordance with any applicable laws, regulations and rules, including but not limited to the laws, regulations and rules of the United States of America and Canada, and any applicable policies and procedures to which you are subject. You further acknowledge and agree that nothing herein constitutes legal, business, tax, investment advice or other professional advice nor does the material and information constitute a recommendation, offer, solicitation or invitation for the sale of any securities, financial instruments, investments or other services, including any securities of any investment fund or other entity managed or advised, directly or indirectly, by Georgian Partners Growth LP and its affiliates (“Georgian”) nor does the material and information constitute an advertisement, financial promotion or marketing of any kind of any investment fund or other entity managed or advised, directly or indirectly, by Georgian. Further, nothing herein constitutes or is intended to constitute a commitment on behalf of either party to enter into any type of transaction, agreement or relationship of any kind. Finally, you acknowledge and agree that you have read and understood Georgian’s Privacy Policy. Should you have any questions or concerns with regards to Georgian's privacy practices, please contact privacy@georgian.io*

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Frequently Asked Questions

Time commitment expectations

↓

We recommend blocking your schedule from June 17-24 as much as possible, but if you can't, don't worry! The tutorials can be watched asynchronously and support hours will be flexible.

Environment Setup and Project Scoping (1-3 hours): We'll provide setup assistance and offer PM support for your team's high-impact use case development, customized to your specific requirements and roadmap. 

Tutorials (7-8 hours): The two days of hands-on tutorials on June 17-18 will be led by our Georgian R&D team and experienced practitioners from the AI ecosystem.

Demo Sessions (2-3 hours): Demo sessions from industry practitioners to complement the tutorial sessions.
‍
Hack Days: You'll have three full days for hacking and development from June 20-24, with 1:1 support from our Georgian AI team scheduled office hours with external practitioners.

Post Bootcamp - You're more than welcome to continue your work and we'll be happy to give some additional support for the two weeks following the bootcamp to help you make the most of your work!

What types of projects would be a good fit for this bootcamp?

↓

In general, any team with an LLM-related project is welcome to join the bootcamp. However, here are some examples to give you an idea of potential projects:
‍

  • Things like chatbots, and question-answering systems where reliable data and responses are key.
  • Projects where the model hallucinates, does not have up-to-date information or lacks company-specific data.
  • Projects that may need fine-tuning such as entity extraction and classification.
  • Any project that uses multimodal data such as images and text.
  • Any project that needs more user adoption and can benefit from UX design. 
  • Any GenAI model that can benefit from incorporating user feedback via alignment and other techniques.

What if a company doesn’t have a project ready for the bootcamp?

↓

We can offer sample datasets in the form of demos which participants will be able to experiment using the demo code.

Are the sessions in person or virtual?

↓

The sessions are all virtual and times are all in Eastern time.

Can I join to learn without hacking?

↓

Yes! If you’d like to join us to learn, you’re welcome to just attend the tutorials and not do the hacking component.

*By registering for this event (the “Event”), you acknowledge and agree that you have read and will be bound by the Terms and Conditions referenced herein, and that your participation at the Event is in accordance with any applicable laws, regulations and rules, including but not limited to the laws, regulations and rules of the United States of America and Canada, and any applicable agreements, policies and procedures to which you are subject. You further acknowledge and agree that you have read and understood Georgian’s Privacy Policy. Should you have any questions or concerns with regards to Georgian's privacy practices, please contact privacy@georgian.io*

Register Your Team

About Transferred Learnings

Georgian’s Transferred Learnings is a community of 1000+ machine learning scientists and engineers who are working on applied problems in the startup community. We run monthly sessions to explore applied AI techniques. Participants include members from across our network and our portfolio of companies.

Company
View the Georgian GitHub RepositoryThe Georgian Impact BlogTransferred Learnings Hub
Legal
Terms and ConditionsPrivacy PolicyAccessibilityPodcast DisclaimerAdditional DisclaimerResponsible Investment Policy
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
© 2024 Georgian. All rights reserved