Team

• Elijah Spina, Team Lead
  • PhD Molecular Biology
  • Founder, Cannabis Genome DAO
• Ravi Patel, Product Manager
  • Head of Ops, BD, and Marketing at MagicPowered.io
• Michael B., Research Scientist
  • Chemist, member of Cannabis Genome DAO & MedDAO
• Eren Unsal, Data Analyst
  • Fmr. risk management analyst, KPMG
• Mohamed Arshath, ML Engineer
  • CTO of Algovera
  • ML Engineer | Python Backend | Cloud Infrastructure
• **Aminu Muhammad, Medical student**
  • Founder of NEAR Health and Conservity
• Nona Moore, Software Engineer
  • Self-taught software engineer
• Nassim Dehouche, Full-Stack Engineer
  • Co-founder of HaAI Labs
• **Keith Axline, Founder of Re-Public**
  • App development, data marketplaces, smart contracts
• Kenneth Francis, Lead of Workforce Analytics at SpaceX
  • Founder of Project Lion and contributor at TalentDAO

Join Our Team!!

CGD-GPT Task Tracker

CGD-GPT Task Tracker (1)

• Proposed Coworking Sessions (30min each, dates TBD)
• Open Roles

Overview

OpenCann-GPT Goals

1. What?

   1. Create a better chatbot for cannabis research. Do better than existing alternatives.

      Benchmarking LLM Chatbots for Cannabis

2. Why?

   1. Accelerate the development of new cannabis based therapeutics.

      Research Topics & Questions

3. How?

   1. Enable use of pre-trained biological models and/or packages like BioPython via chat.

      Neural Nets for Biology

      1. Option: Partner with DeSci-Block (Eddie from Cannabis Experience Reports, Psi Combinator Cohort #1)

         • “This innovative platform leverages the power of chatbots, enabling scientists to communicate with their data seamlessly and intuitively.”
           • DBDAO (creation of complex structures that can be integrated into a data warehouse component)
           • DataIku (data science platform that acts as the bridge connecting DBDAO and/or Oort data)
             • “This sophisticated storage and structuring system ensures that your data is not only securely stored but also organized in a manner that best suits your scientific needs.”
             • Fits datasets into the most suitable language model (LLM), tailored to the specific use case of the researcher's problem.
           • Oort (decentralized storage)
           • User-friendly interface powered by Near BOS

      2. Option: use a Web3 powered, Ocean Protocol token-gated, open-source AI chatbot app template built with Next.js, the Vercel AI SDK, OpenAI, and Supabase.

         https://github.com/oceanprotocol/tokengated-next-chatgpt

App Development

<aside> 💡 LangChain is a framework for developing applications powered by language models. We believe that the most powerful and differentiated applications will not only call out to a language model, but will also be:

1. Data-aware: connect a language model to other sources of data
2. Agentic: allow a language model to interact with its environment

Welcome to LangChain — 🦜🔗 LangChain 0.0.157

</aside>

• 1. Access APIs
• 2. Prepare Data
• 3. Model configuration
• 4. Fine-tuning