Sublime
An inspiration engine for ideas
The Course 6-9 curriculum provides flexibility to accommodate students with a wide diversity of interests in this area. This includes topics from neuroengineering (reverse engineering circuits in the brain and developing brain interfaces) to biologically-inspired approaches to artificial intelligence.
MIT • Course 6-9: Computation and Cognition | Brain and Cognitive Sciences
Engineering
Edward Ivory • 1 card
🌳 Galileo LLM Studio
Algorithm-powered LLMOps Platform
Find the best prompt, inspect data errors while fine-tuning, monitor LLM outputs in real-time. All in one powerful, collaborative platform.
Testing framework for LLM Part
100Kin10 is a massive collaborative effort that is bringing together more than three hundred academic institutions, nonprofits, foundations, businesses, and government agencies to train and support one hundred thousand science, technology, engineering, and math (STEM) teachers across the United States in ten years.
David Ehrlichman • Impact Networks: Create Connection, Spark Collaboration, and Catalyze Systemic Change
Science
Andreas Vlach • 4 cards
Artificial Intelligence
Paul Sturrock • 1 card
Inteligencia Artificial en la Sala de Clases: Guía para la integración de IA en actividades centradas en los estudiantes (Spanish Edition)
amazon.com
Technology
Gerry Miller • 1 card