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The Role of Evaluation in Enterprise AI Success

Expert Data, Specialized AI: Snorkel Summer 2025 Launch Event

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Optimizing GenAI systems with AWS and Snorkel

Data-First Culture in AI Development: A Discussion From Human[x] With Snorkel AI and Scale AI

AI in 5: Fine tuning embedding models

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How to Build Accurate Prompts for Enterprise Chatbots

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GenAI Evaluation: From Specialized Metrics to Actionable Insights

To Evaluate LLMs, Enterprises Need Specialized, Fine-Grained, and Actionable Insights

Leveraging AWS and Snorkel Flow for AI Model Improvement

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The future of enterprise AI: insights from leading researchers

AI business value: strategies for success in financial services

PDF extraction in business workflows: a guide

Customer success in AI: common pitfalls and how to avoid them

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The essentials of evaluating LLM systems

Systems thinking in AI: the key to unlocking enterprise value

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GenAI Evaluation: See How Snorkel Flow's New Tools Make GenAI Eval Easier and More Powerful

Easy PDF Annotation in Snorkel Flow—Just, Click, Drag and Choose Your Label

Label PDFs at Scale: Powerful Labeling Function Capabilities for Scalable PDF Annotation

Generative AI Annotation Features In Snorkel Flow

Annotate Training Data According to Multiple Label Schemas in One Pane

Knowledge Distillation Demystified: Techniques and Applications

Model Compression: Streamlining AI for Enterprises

Model Distillation: From Large Models to Efficient Enterprise Solutions

Curate training data via labeling functions— 10 to 100x faster

Databricks Integration: Streamlining Data Development with Snorkel Flow

AI Copilots for Businesses: Driving Innovation with Generative AI

How Numbers Station Combines LLM, RAG, and Domain Knowledge for AI-Driven Data Analysis

Integrating Structured and Unstructured Data for Better AI Solutions

Task Me Anything: Revolutionizing Multimodal Model Benchmarking

Alfred: An Open-Source Tool for Building Training Data with Foundation Models and Weak Supervision

Transforming Call Center Operations with Snorkel AI

How to Add/Remove/Manage Foundation Models (FMs) and Large Language Models (LLMs) in Snorkel Flow

How to Create Computer Vision Applications in Snorkel Flow

How to Upload Images and PDFs into Snorkel Flow

How to Optimize RAG Pipelines for Domain- and Enterprise-Specific Tasks

Three Ways to Evaluate LLMs

The Iterative LLM Development Loop in Snorkel Flow

How to activate Llama 3.1 405B in Snorkel Flow

LLM Evaluation for Production Enterprise Applications

DEMO: How to Evaluate Enterprise LLMs in Snorkel Flow

How to Evaluate LLM Performance for Domain-Specific Use Cases

Build Better LLMs Through Data Slicing