Launching today

Freesolo Flash

Launching today

Full-Stack Platform for Training Small Language Models

71 followers

Full-Stack Platform for Training Small Language Models

71 followers

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AI Infrastructure Tools

•

LLM Fine Tuning

Freesolo helps enterprise teams turn generic model capability into AI features that belong in the product. We make reinforcement learning a commodity so any team can train a small, specialized model for their task.

Free

Launch tags:SaaS•Artificial Intelligence

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Zernio WhatsApp APIBuild WhatsApp features & agents in minutes

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Clado

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Not every AI interaction is best served with a large frontier model. There is a long tail of trillion-token use cases, from tagging to search, best served by a sub-10b-parameter model that runs in milliseconds and costs many orders of magnitude less than the frontier. However, engineers historically had to choose between model size and quality; as models got smaller, performance, adherence, and recall dropped linearly. Post-training on production data closes that gap. We built Freesolo Flash to make training loops like SFT and RL easy and end-to-end completable through your coding agent. We accomplish this in a few different ways: - Upfront pricing: instead of billing by GPU hours or tokens spent while training, we quote the cost of the entire run upfront, so your agent can accurately tweak the dataset, model size, and algorithms it uses while staying in your budget before it starts the run. - Our GPU infrastructure is optimized to make your specific run as in-expensive and fast as possible. This optimization means training with flash is 8x less expensive for SFT and 5.5x less expensive for GRPO (RL) when compared to Tinker. - Environment hub: Our custom environment SDK allows you to build environments in a modular way and perfectly integrates with our asynchronous training framework. Flash is built out of our own frustrations with current managed post-training solutions, especially for SLMs. We believe that unlocking frontier capability for a narrow task into a small model will prove to be the best improvement for all agentic product ux. Flash is our first step towards solving this. Just grab a Freesolo API Key, point your agent at the training package, and watch it push your lightweight model beyond the frontier.

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1d ago

MonoCloud for Startups

Small language models are having a moment for good reason, the economics of running a frontier model for every agent step do not hold up at scale. Lowering the barrier to training your own SLM is a useful place to build. One angle for positioning, show the total cost delta of an SLM-first agent versus an all-LLM one. That comparison sells itself to anyone watching their inference bill.

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2h ago

Zernio WhatsApp APIBuild WhatsApp features & agents in minutes

Promoted

Clado

Maker

📌

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1d ago

MonoCloud for Startups

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2h ago