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

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

All Things Open via YouTube Direct link

0:00 - Welcome - Mark Hinkle

1 of 6

1 of 6

0:00 - Welcome - Mark Hinkle

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

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

Automatically move to the next video in the Classroom when playback concludes

  1. 1 0:00 - Welcome - Mark Hinkle
  2. 2 1:16 - AI-Assisted Grant/RFP Writing Workflow: Scale Funding Efforts Without Scaling Costs - Will Mendoza
  3. 3 14:52 - Leveraging Pre-Trained Transformer Models for Protein Function Prediction - Tia Pope
  4. 4 23:34 - Practical Generative AI Observability: Metrics and Tools for Real-Time Monitoring - Richard Shan
  5. 5 32:46 - Responsible AI Considerations for Language Models - Sophia Rowland
  6. 6 39:19 - Codename Goose: An Open Source Local AI Agent Built on MCP - Angie Jones

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.