
Open-source, AI-assisted LLM fine-tuning library for non-AI developers
AI-powered workspace for research
Our library includes features like: - Seamless on-device to cloud training handoff - AI-assisted hyperparameter selection - Auto parallelism configurations - Synthetic dataset generation - In-built evaluations With support for various LLM models and auto-optimizations for hardware, Simplifine reduces the steep learning curve, allowing users to focus on innovation rather than infrastructure management. Whether you're moving from local to multi-GPU instances or optimizing your resources, Simplifine helps you get the most out of your LLM training efficiently and cost-effectively.
Research work is hell. It is very silo'ed, and the workflow is clunky - this is because researchers create their own pipelines with tools (for all things literature search, review, note-taking, writing, editing, data analysis, and so on) that are not designed for researchers. Simplifine is designed for researchers, by researchers. We supercharge all those research tasks with specialised LLMs so researchers do not need to use dozens of badly integrated tools ever again. We are the only app researchers will need.
Simplifine shifted from a developer library for LLM fine-tuning to a unified AI-powered workspace for research, moving from a technical developer tool to an end-user research productivity platform. This is a full pivot in product, market, and problem.
AI-powered workspace for research(viewing)
Open-source, AI-assisted LLM fine-tuning library for non-AI developers