Snorkel Flow

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Category:AI Agent Development Platforms

Overview

An AI data development platform accelerating enterprise AI by programmatically curating training data.

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data scientists machine learning engineers AI researchers business analysts

Snorkel Flow is an AI data development platform designed to expedite enterprise AI initiatives by enabling programmatic curation of training data. It allows data scientists and subject matter experts to collaboratively capture domain knowledge, apply it to label entire datasets, and iteratively develop models with built-in error analysis and evaluation tools. By integrating seamlessly with existing AI/ML stacks, Snorkel Flow supports fine-tuning of large language models (LLMs) for specialized tasks, optimizing retrieval-augmented generation (RAG) pipelines, and enhancing model accuracy across various data modalities.

Autonomy level

73%

Reasoning: Snorkel Flow demonstrates high autonomy through its programmatic data labeling and weak supervision capabilities, which automate large-scale dataset curation and model training. It integrates AI-driven workflows for generating labeling functions, synthetic data creation, and model fine-tuning with minimal manual intervention. However, it still requ...

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Some of the use cases of Snorkel Flow:

Data scientists seeking to reduce manual data labeling efforts.
Organizations aiming to accelerate AI model development and deployment.
Teams requiring fine-tuning of LLMs for domain-specific applications.
Businesses looking to improve model accuracy through programmatic data labeling.

Pricing model:

contact for pricing

Code access:

closed-source

Popularity level: 68%