Generative AI Bootcamp
Presented by Georgian Transferred Learnings and our partners.
Registration is now closed.
About the Bootcamp
The pace of generative AI advancement is exciting, blurring the line between hype and reality. To help navigate through this evolving field, we've designed a generative AI bootcamp for you! In this bootcamp, we'll provide hands-on support for you and your team to move your ideas into implementation in a matter of a few days.
As a participant, whether you've already started your GenAI journey or you're just starting out, we can support you through your end-to-end journey. We'll help you think through your use case and product strategy, ideate, carry out rapid prototyping of your proof of concept and deployment. You’ll get access to tutorials, notebooks and code assets, along with discussion and support from experienced ML practitioners to answer your questions and address your challenges.
Starting with an overview of Large Language Models (LLMs), the bootcamp continues with a discussion on various customization techniques to tailor these models according to specific needs and it finally concludes with practical implementation guidance, focusing on various tools and platforms to transition prototypes into production. By the end of this bootcamp, you should have a solid foundation in generative AI and be equipped with the skills necessary to apply it to your own use cases.
Agenda
October 6:
Applications close. Teams are selected and 1:1 use case briefings are scheduled
Oct. 10: Briefing
- Get all the info you'll need for the bootcamp including logistics, timeline and what support you'll receive
- GenAI market overview and considerations for your use case identification
Oct. 10-20: Opportunity Identification
- Select your use case and shape the outline of your project
- Prepare your team and align on your project plan
- Connect with Georgian if you need support on formulating your strategy
Oct. 20: Environment Setup and Use Case Drop-In Sessions
- Get support from the Georgian team to get your environment set up (you'll need it set up before the tutorials start!)
- Join an optional office hours session to get feedback and support from PMs on your use case
Oct. 23: Tutorials
- Introduction to LLMs
- Foundational models, how to train LLMs, why they're important
- Prompt engineering - from easy to advanced
- Reasoning, advanced prompting techniques, retrieval augmented generation (RAG), prompt evaluation
- Hands-on demos
- Latest updates and trends from Google and Microsoft
Oct. 24: Tutorials
- Fine-tuning and alignment
- Latest techniques in fine tuning and human alignment with demos
- Tools, platforms and deployment
- Demos of useful vector databases, tools and libraries
- Privacy, trust and responsible AI
- Solutions to help avoid bias/toxic responses, hallucination, misleading and incorrect outputs
- Model robustness and synthetic data
Oct. 25-27: 1:1 Support and Office Hours
- Selected teams will have 1:1 time with a Georgian R&D team member to answer your questions and walk you through the code
Oct. 30: Presentations, Judging and Prizes
- Teams opt-in to present the outcomes of their bootcamp to each other
- Presentation of prizes!
Schedule of sessions:
We’ll provide more detailed timing along with calendar holds and other session-related information after the Oct 10 briefing session.
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Teams and Participation
Each team should designate a captain to serve as the primary point of contact and we highly recommend including a product manager on your team to help with the ideation and strategic alignment.
To get the most out of the bootcamp, we recommend that your team includes the following skills:
- Experience with Python
- Familiarity with machine learning and deep learning
- Understanding of your business's internal processes and use cases
To maximize your experience, you should identify and list your top priority use cases ahead of time.
Frequently Asked Questions
Time commitment expectations
We recommend blocking your schedule from October 23-30 as much as possible, but if you can't, don't worry! The tutorials can be watched asynchronously and support hours will be flexible.
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Tutorials (Oct 23-24): Tutorials are anticipated to run 4 hours each of the two days. Live participants will be able to ask questions of the presenters. The recordings will be made available as soon as possible for those who can’t make it to watch asynchronously.
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The Hack (Oct 25-29): This dedicated time is intended for you to work on your own proof of concepts (POCs) with support from Georgian’s R&D team and experienced external practitioners. Expect to spend 10-20 hours working on your project, depending on the use case and your team’s availability. We’ll coordinate one-on-one meetings and support based on your availability.
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Judging and Prize Presentation (Oct 30): 1.5 hours for teams to present their project, judging and prizes to be given out. If you'd like to opt-in to present your solution, ideally, at least one member of your team is present to demo your solution.
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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!
Can I apply without any specific need or use case?
Absolutely! If you don't have a specific need or use case in mind, that's completely fine. Just write in "brainstorm" in the Project Focus field and one of our team members will be in touch to help you work on identifying and developing your use case.
What are the prizes?
We have three prizes lined up for participants with winners selected by our panel of judges:
- The Impactful Innovator Award: Awarded to the team that has developed a feature that has significant potential for positive, real-world impact and is closest to production readiness. This award underscores the important intersection of practicality and large-scale impact.
- The Pioneering Prodigy Award: Awarded to the team whose AI features are innovative and “out of the box”. This award emphasizes the creative and forward-thinking aspects of the hackathon.
- The Ethical Engineer Award: Awarded in recognition of the team that incorporates responsible AI practices into their project, such as fairness, privacy or transparency considerations. This award is intended to reflect the importance of ethical considerations in AI development.
The prize for the winning team in each category will be a gift card valued at up to $250 USD per team member, up to $1000 USD per team.
About Georgian's Transferred Learnings
Georgian’s Transferred Learnings is a community of machine learning scientists and engineers who are working on applied problems in the startup community. We run monthly sessions to explore applied AI techniques and participants include machine learning experts and data scientists from across our network and our portfolio of companies.
We structure our sessions with 50% theory and 50% hands-on.
As a member, you can expect:
- Monthly learning sessions
- Access to our Slack channel
- Opportunities to present your work
- Connections to a group that loves ML as much as you!
We have an active Slack community with sub-groups for special interests.
If you're not a member, apply to join here.
Get to know Georgian and our platform for growth-stage CEOs.
Visit the Transferred Learnings Hub for past events and resources.
Read the Georgian R&D Medium blog.
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