Neil Abernethy@neil_a

Events attended

Submissions made

United States

8+ years of experience

About me

B.S. in Applied Mathematics and Biochemistry from North Carolina State University Ph.D. in Biomedical Informatics from Stanford University Stanford Business Competition winning team member and VC-funded startup co-founder with a successful exit University of Washington data scientist and eScience Institute affiliate Interests: Multi-modal ML, multi-agent systems, knowledge representation, NLP/LLMs, AGI, AI applications and safety

I built with

Anthropic Claude

Socials

🤝 Top Collaborators

Goutham Vignesh

Hello, I'm Goutham Vignesh, an AI Research Engineer. With a passion for cutting-edge technology, I specialize in training and deploying machine learning models, mainly focused on fine-tuning LLM models for different business problems. Through my expertise, I strive to leverage the power of artificial intelligence to drive innovation and solve complex challenges. With a strong background in AI research and engineering, I am dedicated to pushing the boundaries of what is possible in machine learning. Skills - Python, Pytorch, Torch serve, Fast API, Docker, MongoDB

🤓 Latest Submissions

Congruity - Trustworthy AI

Congruity.AI provides a diverse set of tools and options for business users and consumers alike to interrogate the consistency of content provided by large language models. It does this by first returning a varied sample of responses, utilizing different API parameters as well as prompt variation. We then ingest and analyze the results to present visualizations and other tools for users to investigate the quality and consistency of generated text. These approaches include an ngram census (portrayed on the text), similarity matrices (showing how similar responses are to one another), links to external sources for verification, and a comparison to constitutional rules or values for the language model. Using these complementary tools, users can drill down to identify elements of generated text that are consistent with the facts, with one another, and with corporate or personal values.

Hackathon link

4 Jun 2023

👌 Attended Hackathons

Plug into AI with AI21

🗓️ This will be a 10-day virtual hackathon from June 28 to July 7 💻 Access AI21 Labs' state-of-the-art language models to build innovative applications 💡 Meet and learn from AI21 Labs and Lablab experts 👥 Join the community and find your team 🏆 Prizes and awards of up to $9500 API credits + $3500 cash ⭐ Receive a certificate of completion for submission 🐱‍💻 Sign up now! It's free!

Anthropic AI Hackathon

👥 Only 3000 spots available 🔥 Join the 7-day Hackathon 🚀 Get access to the Claude API, AI assistant for your tasks - no waiting list needed 🤝 Find your team in the community or work solo 🧙‍♂️ Have an opportunity to connect with creators of technology directly

📝 Certificates

Anthropic AI Hackathon | Certificate

View Certificate