#Transformers

Explore Google Research's Titans and MIRAS for efficient long context modeling in AI.

Explore the differences between Transformers and MoE models regarding performance and architecture.

'A practical tutorial on building a fully offline multi-tool reasoning agent using Instructor, Transformers and Pydantic. Includes code for tool mocks, schemas, routing and recovery.'

Explore how to build local multi-endpoint ML APIs with LitServe, showcasing batching, streaming, caching and multi-task inference with Hugging Face pipelines.

Meta AI's Token-Shuffle method reduces the number of image tokens in Transformer models, allowing efficient high-resolution image synthesis with improved quality and lower computational cost.