AI Lightning Talks: Grant Writing, Protein Prediction, Observability, Responsible AI, and Local Agents

Watch this collection of lightning talks from Day 1 of All Things Open AI featuring five presentations on diverse AI applications. Begin with Will Mendoza's talk on AI-assisted grant writing workflows that help organizations scale funding efforts without increasing costs. Continue with Tia Pope's exploration of pre-trained transformer models for protein function prediction. Learn about practical generative AI observability with Richard Shan's presentation on metrics and tools for real-time monitoring. Discover responsible AI considerations for language models with Sophia Rowland, and conclude with Angie Jones introducing Codename Goose, an open source local AI agent built on MCP. The 51-minute video begins with a welcome from Mark Hinkle and provides valuable insights across multiple AI domains.

Syllabus

0:00 - Welcome - Mark Hinkle
1:16 - AI-Assisted Grant/RFP Writing Workflow: Scale Funding Efforts Without Scaling Costs - Will Mendoza
14:52 - Leveraging Pre-Trained Transformer Models for Protein Function Prediction - Tia Pope
23:34 - Practical Generative AI Observability: Metrics and Tools for Real-Time Monitoring - Richard Shan
32:46 - Responsible AI Considerations for Language Models - Sophia Rowland
39:19 - Codename Goose: An Open Source Local AI Agent Built on MCP - Angie Jones