Add WasmEdge project idea for LFX 2024-01

programs/lfx-mentorship/2024/01-Mar-May/project_ideas.md

@@ -183,3 +183,46 @@
   - [Manan Gupta](https://github.com/GuptaManan100) (manan@planetscale.com)
   - [Harshit Gangal](https://github.com/harshit-gangal) (harshit@planetscale.com)
 - Issue: <https://github.com/vitessio/vitess/issues/14931>
+
+### WasmEdge
+
+#### Integrate MLX as a new WASI-NN backend
+
+- Description: LLM is a hot topic, there are more and more frameworks to make the execution of LLM faster. WasmEdge already integrated the [llama.cpp](https://github.com/ggerganov/llama.cpp) as one of the backend. And we want to bring more. [MLX](https://github.com/ml-explore/mlx) is an array framework on Apple silicon created by Apple machine learning research. With MLX, we believe it can have a huge improvement on macOS.
+- Expected Outcome: A new plugin provides a MLX [WASI-NN](https://github.com/second-state/wasmedge-wasi-nn) backend, a test suite for validating the plugin, documents and examples for explaining how to use the plugin.
+- Recommended Skills: C++, Wasm
+- Mentor(s):
+  - Hung-Ying Tai (@hydai, hydai@secondstate.io)
+  - dm4 (@dm4, dm4@secondstate.io)
+- Upstream Issue: https://github.com/WasmEdge/WasmEdge/issues/3168
+
+#### Integrate Intel Extension for Transformers as a new WASI-NN backend
+
+- Description: LLM is a hot topic, there are more and more frameworks to make the execution of LLM faster. WasmEdge already integrated the [llama.cpp](https://github.com/ggerganov/llama.cpp) as one of the backend. Running LLM with CPU only is huge for those users who don't have GPU. We would like to integrate [Intel Extension for Transformers](https://github.com/intel/intel-extension-for-transformers) as a new WASI-NN backend to provide a faster CPU inference performance.
+- Expected Outcome: A new plugin provides a Intel Extension for Transformers [WASI-NN](https://github.com/second-state/wasmedge-wasi-nn) backend, a test suite for validating the plugin, documents and examples for explaining how to use the plugin.
+- Recommended Skills: C++, Wasm
+- Mentor(s):
+  - Hung-Ying Tai (@hydai, hydai@secondstate.io)
+  - dm4 (@dm4, dm4@secondstate.io)
+- Upstream Issue: https://github.com/WasmEdge/WasmEdge/issues/3169
+
+#### Integrate whisper.cpp as a new WASI-NN backend
+
+- Description: WasmEdge supports PyTorch, TensorFlow Lite, llama.cpp, and more NN backend. Dealing with the Voice to Text is a big thing that we want to achieve. To make it possible, we would like to integrate [whisper.cpp](https://github.com/ggerganov/whisper.cpp), a port of OpenAI's Whisper model in C/C++ as a new [WASI-NN](https://github.com/second-state/wasmedge-wasi-nn) backend.
+- Expected Outcome: A new plugin provides a whisper.cpp [WASI-NN](https://github.com/second-state/wasmedge-wasi-nn) backend, a test suite for validating the plugin, documents and examples for explaining how to use the plugin.
+- Recommended Skills: C++, Wasm
+- Mentor(s):
+  - Hung-Ying Tai (@hydai, hydai@secondstate.io)
+  - dm4 (@dm4, dm4@secondstate.io)
+- Upstream Issue: https://github.com/WasmEdge/WasmEdge/issues/3170
+
+#### Integrate burn.rs as a new WASI-NN backend
+
+- Description: WasmEdge supports PyTorch, TensorFlow Lite, llama.cpp, and more NN backend. [Burn.rs](https://github.com/tracel-ai/burn) is a new deep learning framework built using Rust. The portability, flexibility, and compute efficiency are important to Wasm. That's why we would love to have `burn.rs` as a new [WASI-NN](https://github.com/second-state/wasmedge-wasi-nn) backend.
+- Expected Outcome: A new plugin provides a burn.rs [WASI-NN](https://github.com/second-state/wasmedge-wasi-nn) backend, a test suite for validating the plugin, documents and examples for explaining how to use the plugin.
+- Recommended Skills: Rust, Wasm
+- Mentor(s):
+  - Hung-Ying Tai (@hydai, hydai@secondstate.io)
+  - dm4 (@dm4, dm4@secondstate.io)
+- Upstream Issue: https://github.com/WasmEdge/WasmEdge/issues/3172
+