MIT OpenCourseWare
open access
CC BY-NC-SA
Foundation Models and Generative AI
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Chimaera: A Mixture-of-Graph-Experts Architecture for Cross-Task and Cross-Dataset Graph Learning#986039
- Lakestream: A Consistent and Brokerless Data Plane for Large Foundation Model Training#175205
- Unveiling the evolution of generative AI (GAI): a comprehensive and investigative analysis toward LLM models (2021–2024) and beyond#808650
- PEPCAL: A Heuristic Framework for Teaching Generative AI to Continuing Professional Education Providers and Faculty Developers.#472457
- Mixture-of-Parallelisms: Towards Memory-Efficient Training Stack for Mixture-of-Experts Models#332492
Record · ID 67389
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive