Devesh Paragiri

Radal - The fastest way to fine-tune and ship LLMs with no-code.

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Radal is a no-code platform to fine-tune small language models using your own data. Connect datasets, configure training visually, and deploy models in minutes. Built for startups, researchers, and enterprises needing custom AI without MLOps complexity.

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Devesh Paragiri
Maker
๐Ÿ“Œ
Hey PH! ๐Ÿ‘‹ We built Radal to make fine-tuning small LLMs dead simple, no MLOps, no code walls, and AI-first (like cursor for LLMs). You drop in your data, connect a few nodes, and train a model that actually fits your use case. Weโ€™d love your feedback, questions, edge cases, criticism, all of it. Ask us anything, weโ€™re here all day! Letโ€™s gooo ๐Ÿš€
Div
Maker

There's a learning curve in making model pipelines. Radal aims to make it as easy as possible to fine-tune your LLMs without needing to code, with an intuitive canvas and AI assistance.

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