Snorkel AI Courses

How AI Impacts the Insurance Industry Today

Explore AI's impact on insurance, addressing data challenges and LLM applications. Learn how Snorkel's approach enhances datasets and satisfies regulators in enterprise AI implementation.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Leveraging Data to Unlock AI's True Potential in Enterprise Projects

Unlock AI's potential through data development. Learn to fine-tune LLMs for domain-specific tasks, leverage expert knowledge, and accelerate high-quality dataset creation using Snorkel Flow.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Best Practices and Tips for Fine-Tuning Representation Models

Discover techniques to enhance generative applications through representation model fine-tuning. Learn data quality strategies, augmentation methods, and optimization tips for RAG-based pipelines.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Digging Into RAG and the Future of AI - With Douwe Keila

Explore RAG applications, AI's enterprise future, and the role of data in improving AI systems with industry experts Alex Ratner and Douwe Keila.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Scaling Language Model Tuning with Snorkel AI - A Case Study

Explore Snorkel AI's innovative approach to scaling language model tuning using programmatic labeling and guiding models for efficient data curation and improved performance.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

The Art of Data Development for LLMs

Explore data development for LLMs, focusing on customization for enterprise applications and injecting unique organizational data to tailor models for specific use cases.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Fine-Tuning and Customizing LLMs for Enterprise Tasks

Explore LLM fine-tuning techniques for enterprise-specific tasks. Learn about data quality, customization methods, and the trend towards task-specific models in organizational AI implementation.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Data-Centric Development is Key to Production-Level AI

Explore data-centric AI development approaches for adapting foundation models to complex use cases, focusing on techniques for pre-training, instruction-tuning, and task-specific fine-tuning.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

How Data-Centric AI Has Revolutionized Document Extraction

Explore data-centric AI's role in simplifying entity extraction from semi-structured documents, overcoming PDF challenges, and leveraging foundation models for accelerated development.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

The Making of RedPajama and the Future of Open-Source AI

Explore the creation of RedPajama, an open-source AI project, and its impact on the future of AI. Learn about data collection and training processes for building leading open-source models.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

How to Improve LLM Factual Accuracy and Reliability

Explore techniques for improving LLM factual accuracy, including DSP framework and MLflow LLMOps tools, to create reliable AI applications for production use.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Tackling Advanced Classification Using Snorkel Flow

Explore advanced classification techniques using Snorkel Flow, addressing challenges in label schema, high cardinality, and multi-label problems while leveraging foundation models for production-ready solutions.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

How Georgetown Helps Data Scientists and SMEs Collaborate on Machine Learning

Explore Georgetown's approach to enhancing ML project workflows and fostering collaboration between data scientists and subject matter experts using Snorkel.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

How to Build Powerful Extraction Models with Snorkel Flow

Explore practical workflows for building enterprise information extraction applications using Snorkel Flow, covering annotation, error analysis, and model-guided iteration for powerful sequence tagging models.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

How Wayfair Uses AI to Build Better E-Commerce Experiences

Explore Wayfair's ML strategies for enhancing e-commerce, from customer understanding to catalog enrichment. Learn about data-centric approaches and SME-DS collaboration for improved product discovery.

• YouTube
• 27 minutes
• Self-Paced
• Free Video