This webinar will introduce the tt-explorer tool as a part of the tt-forge project. It will highlight the integration with the current compiler, runtime, and performance tracing infrastructure. tt-explorer will then be demonstrated in a variety of use cases to visualize complex models, increase accuracy, reduce kernel execution time, and override parts of a compiled MLIR graph. By the end of this webinar we hope that tt-forge users will have a better understanding of the first-class tooling built within the project to optimize their development process.

Here are some good resources to explore as prerequisites to the webinar:
- [TT-MLIR docs](https://docs.tenstorrent.com/tt-mlir/)
- [Intro to TT-Forge](https://youtu.be/nsPJ3prHfw8)
- [Fundamentals of the Tensix processor](https://youtu.be/AqODX1HseVw)

Tenstorrent Developers

Jen Person

Won So

swarup kulkarni

ctr-sraguram

Sindhu Gudala

Omm3nator

TT-Explorer - Performance Optimization, Optimized

Online event

Get to know Tenstorrent engineers in an informal environment with a focus on the [tt-metal library](https://github.com/tenstorrent/tt-metal). Bring your questions, or come just to find out what everyone is talking about!

ajinkya

Maxim Yudayev

Office Hours with TT-Metalium Engineers

Tenstorrent hardware is designed to optimize the operations that power AI.

Learn how you can run models on Tenstorrent hardware to build multi-agent systems and workflows.

Getting started with AI agents on Tenstorrent

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