Customize generative AI using your data
Adapt proprietary and open-source LLMs using your data and domain knowledge to build high-quality generative AI applications with Snorkel Flow.
Boost quality
Leverage your data and subject matter expertise to develop robust, production-ready applications with the support of guided error analysis and programmatic data operations.
Reduce risks
Tailor models with proprietary data while ensuring compliance and reducing data-leak risks using Snorkel Flow.
Reduce costs
Customize pre-trained LLMs using cost-effective techniques such as programmatic data development, turning generative AI into your competitive advantage.
Wayfair
Uses Snorkel Flow to improve search and customer experience and organize its rich product catalog 10x faster.
+10x faster development
compared to traditional HITL workflows
+20 points accuracy
compared to supplier baseline
Develop data for high-quality generative AI
Programmatically curate your data to build custom LLMs that you can trust.
Unified LLM customization
Maximize LLM performance by developing your data using a wide range of techniques to improve prompt engineering, retrieval augmented generation, and LLM fine-tuning efforts.
Programmatic data operations
Curate your data by encoding subject matter expertise into programmatic data operations such as labeling, filtering, sampling, slicing, augmentation and more.
Guided evaluation and error correction
Evaluate model performance with expert and model-based feedback, and rapidly correct error modes by focusing on the data slices that matter.
The enterprise data scientist's guide to LLM customization
Learn how to fine-tune production LLMs quickly and cost-efficiently with your data
Power generative AI use cases
Programmatically curate your data to build custom LLMs that you can trust.
Chatbots
Fine-tune on diverse conversational datasets for enhanced language understanding and response accuracy.
Copilots
Incorporate domain-specific data to ensure precise, context-aware assistance in specialized tasks.
AI search
Refine search algorithms using private and fast-changing content for more relevant and precise results.
Summarization
Employ narrative and informational texts to develop AI's ability to condense content while retaining essential information.
Text generation
Utilize a variety of textual sources to enable LLMs to produce coherent and contextually appropriate content.
Code generation
Analyze extensive code repositories to train AI in writing functional, efficient, and error-free code.
Generative AI Data Development Blueprint
Generative AI data development platform capabilities
Customization and fine-tuning
Quickly customize models to specific tasks, response styles, or incorporate additional knowledge 100x faster.
Distillation
Consolidate large models down to smaller, faster, and more accurate models that are purpose-built and cheaper to run.
Hallucination prevention
Reduce the likelihood of confidently incorrect answers that compromise enterprise decision-making by improving the underlying data to get more accurate responses.
Risk management
Control what types of content is created or transmitted through prompts or other methods, resulting in the compromise of confidential data inputs.
Transparency & audibility
Improve model trustworthiness and predictability by knowing with certainty the data that was used to train your model.
Synthetic data
Create new data to protect PII or adjust underrepresented or over-represented variables within your data with the same distribution.
Prompt engineering
Customize prompt templates to maximize their effectiveness at scale.
Lifecycle management
Continuously improve model performance to respond to changes in requirements and markets faster.
Are you ready to dive in?
Build high-quality AI 100x faster with Snorkel Flow, the AI data development platform.
Get started