Update README to reflect recent changes (#619)

## Summary
Update README to reflect recent changes

* Added omni integration
* Point discord to the right channel
* Add myself to the collaboration POC as Yanning is out for a while. 

## Testing Done
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- [ ] run `make test` to ensure correctness
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- [ ] run `make test-convergence` to ensure convergence

Author: helloworld1

README.md

@@ -128,7 +128,7 @@ y = orpo_loss(lm_head.weight, x, target)
 - **Exact:** Computation is exact—no approximations! Both forward and backward passes are implemented with rigorous unit tests and undergo convergence testing against training runs without Liger Kernel to ensure accuracy.
 - **Lightweight:** Liger Kernel has minimal dependencies, requiring only Torch and Triton—no extra libraries needed! Say goodbye to dependency headaches!
 - **Multi-GPU supported:** Compatible with multi-GPU setups (PyTorch FSDP, DeepSpeed, DDP, etc.).
-- **Trainer Framework Integration**: [Axolotl](https://github.com/axolotl-ai-cloud/axolotl), [LLaMa-Factory](https://github.com/hiyouga/LLaMA-Factory), [SFTTrainer](https://github.com/huggingface/trl/releases/tag/v0.10.1), [Hugging Face Trainer](https://github.com/huggingface/transformers/pull/32860), [SWIFT](https://github.com/modelscope/ms-swift)
+- **Trainer Framework Integration**: [Axolotl](https://github.com/axolotl-ai-cloud/axolotl), [LLaMa-Factory](https://github.com/hiyouga/LLaMA-Factory), [SFTTrainer](https://github.com/huggingface/trl/releases/tag/v0.10.1), [Hugging Face Trainer](https://github.com/huggingface/transformers/pull/32860), [SWIFT](https://github.com/modelscope/ms-swift), [oumi](https://github.com/oumi-ai/oumi/tree/main)
 
 ## Installation
 
@@ -338,8 +338,8 @@ loss.backward()
 ## Contact
 
 - For issues, create a Github ticket in this repository
-- For open discussion, join [our discord channel](https://discord.gg/gpumode)
-- For formal collaboration, send an email to yannchen@linkedin.com
+- For open discussion, join [our discord channel on GPUMode](https://discord.com/channels/1189498204333543425/1275130785933951039)
+- For formal collaboration, send an email to yannchen@linkedin.com and hning@linkedin.com
 
 ## Cite this work