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Tionna WP@thebadasscoder

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Profile rank: lablab No-rank

Next rank: lablab Apprentice

4

Events attended

1

Submissions made

Hipster // Hacker

United States

5 years of experience

About me

It all started with a whisper leading me into the tech realm after my days at Vassar College. Amidst that time, a pivotal "ah-ha!" moment drove me to tackle personal writing challenges directly. This spark ignited a passion within me, along with my insatiable curiosity, propelling me on a coding adventure across New York City and beyond. New York quickly became my playground, and I found myself thriving amongst tech giants from Google, Tumblr, and even Facebook. I mean...me? Tech? Who would've thought!? Yet, tech became my canvas, a space where I painted my aspirations. Fast-forward to todayβ€” here I am on my first AI-fueled hackathon adventure with my TacticalAI squad. As a co-hacker and an innovation enthusiast, I'm all about channeling harmonious creative energies. My commitment knows no bounds. Fully embracing the present, I love crafting new realities and reshaping normsβ€”one AI agent at a time.

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πŸ€“ Submissions

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    Hackathon link

    Tactical AI

    Our project was to run a low cost simultaneous series of agents that interact with the same environmental conditions and collaborate on the same output documents. We initially had the ambition to run 10 Upper Level Suite agents (long term themes/short term goals: 3 year to 3 month); 30 supporting agents (2 week check ups; daily repeat functions) but we were unable to get enough domain knowledge sets for this particular project. So we ran with the domain knowledge we had and eventually decided on testing a "Human - Machine Teaming" model that would be designed to help humans trust the power of the technology without it seeming threatening by identifying the sources of our domain knowledge sets, setting the map of their agenda, storing the information of their agenda in pinecone and synthesizing that with domain knowledge specific to the role. Also, Super AGI has a tool that allows for document modification and that allowed us to have the agents interact on the same document from multiple perspectives. The end result was actionable data with very few errors. The amount of work done in the time to actually set up the agents, set the map of the project and process goals for each agent was nothing compared to the amount of work we received from the agents. It was about 40 hours of labor for 4 people produced in 1 run which you can see the outputs in Github. Anyways, thank you for hosting the space. Be well.

πŸ‘Œ Attended Hackathons

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    Autonomous Agents Hackathon

    πŸ—οΈ Build projects with Autonomous Agents, using cutting-edge frameworks like SuperAGI, AutoGPT, BabyAGI, Langchain, and more! πŸ† Register now and stand a chance to win up to $10,000 and a place on the SuperAGI team. 🏁 3-days to complete your solution!

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    Llama 2 Hackathon with Clarifai

    ⌚ 3-day AI Hackathon πŸš€ Compete to build an AI app powered by Llama 2 πŸ’‘ Learn how to extend your capabilities with Clarifai! πŸŽ“ Mentors are available to support you during your creative journey

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    AutoGPT Arena Hacks

    πŸ€– You have 3 weeks to build. Join in at any point! 🌐 Connect with a global tech community. πŸŽ‰ Win from a $30,000 cash prize pool. πŸ’Ύ The winning agent will become the AutoGPT in the 150000 star repository! πŸš€ You may continue your startup journey after the Hackathon!

πŸ“ Certificates