Spectral Labs Joins Hugging Face’s ESP Program To Advance the On-Chain x Open-Source AI Community

May 7, 2024 – New York, New York

Spectral is excited to announce its participation in Hugging Face’s ESP (expert support program).

Spectral is collaborating with deep learning experts from Hugging Face to advance open-source models, datasets and applications for the on-chain agent economy.

How to use Hugging Face

Hugging Face plays a critical role across Spectral’s organization.

Through the ESP, Spectral regularly meets with the Hugging Face team to plan new use cases, strategize dataset construction and develop training strategies.

Earlier this year, Spectral launched Syntax, which is composed of a fine-tuned LLM orchestrator that routes queries between several tools including search, Foundry and an open-source model to generate Solidity code.

Building Syntax required custom datasets for both fine-tuning and RAG – an original Solidity evaluation dataset written by elite smart contract developers – and experimentation across a wide range of open and closed-source models.

Spectral’s approach to dataset preparation, training, routing and evaluation has drastically improved during this process, largely due to help from Hugging Face experts.

Regular discussions on Spectral’s approach mean that the company always receives impartial feedback on its decisions and can reevaluate its strategy as needed.

This was important for both the fine-tuning and evaluation steps, which have now gone through several rounds of improvement, thanks to the Hugging Face team.

Spectral also relies on Hugging Face for inferences in production through dedicated ‘inference endpoints.’

The fully managed infrastructure allows Spectral to iterate on new models quickly, easily update container and hardware configurations, autoscale with demand and keep production costs low.

Over the coming months, Spectral is excited to continue to open-source its work with on-chain datasets and models that interact on-chain through Hugging Face.

Users can view Spectral’s training dataset for the credit scoring challenge and follow its progress here.

The on-chain agent economy

Syntax is pioneering the accessible on-chain agent economy, inviting users to select agents tailored for their specific tasks.

Users can either interact with the foundational agent to generate solidity code or opt for one of the specialized agents, each adept in distinct tasks.

For example, we recently launched Syntax MoonMaker – an agent that launches a memecoin project end-to-end – and are…