https://api.github.com/repos/rusiru-erandaka/skills-copilot-codespaces-vscode/contents/{+path}

MIT License

skills-copilot-codespaces-vscode

https://api.github.com/repos/rusiru-erandaka/skills-resolve-merge-conflicts/contents/{+path}

skills-resolve-merge-conflicts

https://api.github.com/repos/rusiru-erandaka/skills-hello-github-actions/contents/{+path}

From this GitHub Action Tutorial, you can learn how to work with workflow and how to manage them without issues.

skills-hello-github-actions

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skills-test-with-actions

https://api.github.com/repos/rusiru-erandaka/RAG_Using_Langchain_and-LlamaIndex/contents/{+path}

I implemented this Rag system by using Both Langchain and LlamaIndex Frameworks. As the LLM i have used Mistral-7B-Instruct-v0.2 Open source model. As the embedding model I have used all-mpnet-base-v2.

Apache License 2.0

RAG_Using_Langchain_and-LlamaIndex

https://api.github.com/repos/rusiru-erandaka/Fine_tune_Llama3_Cabinet_decision_dataset/contents/{+path}

I have used QLoRA under PEFT to finetune this Llama 3 8B model. This model has finetuned on Lk Cabinet Decision English dataset.

GitHub

rusiru-erandaka

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