 Build with Low-Code: Langflow Hack

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App that improves LLM performance in non english languages,

RAG4LowResourceLanguages

Raghavan

The Langflow Hackathon, led by Raghavan Muthuregunathan, addresses the challenge of enhancing LLM performance in low-resource languages. While some LLMs like GPT4o excel, others like Stable Diffusion struggle. The proposed solution, Translation Augmented Generation, leverages high-quality English LLMs for non-English languages using Langflow, Streamlit, and OpenAI. Their innovative prompt engineering allows Stable Diffusion to understand languages other than English, demonstrated by generating images from Tamil prompts. This solution aims to democratize LLM accessibility, making it beneficial for low-resource languages. More details and examples can be found on their [Streamlit app](https://langflow-lablab.streamlit.app/) and [GitHub repository](https://github.com/raghavan1988/langflow_hackathon/blob/main/app.py).

LLMs are great for english but many open source LLMs they perform poorly when the language is not  english. we are fixing it

"RAG4LowResourceLanguages team on Build with Low-Code: Langflow Hack Hackathon"

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