Snorkel AI Courses

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

Harnessing LLMs to Extract Insights from Text Data

Explore how to leverage LLMs for extracting insights from text data in enterprise settings, addressing challenges and incorporating domain knowledge using Snorkel AI's solutions.

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

How Data Transforms As It Moves Through An Enterprise

Explore data's journey across enterprises, unraveling its transformations and impact on decision-making, efficiency, and AI innovation through data-centric workflows.

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

How Insurance Competes in the AI Age

Explore AI's impact on insurance: operational effectiveness, new business models, and partnerships. Learn about data-centric approaches for risk capacity matching and policy ingestion.

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

The Future is Neurosymbolic - Insights on AI and Language Models

Explore AI's future with Yoav Shoham: task-specific models, product-algorithm fit, and the fusion of neural and symbolic approaches in language models and AI applications.

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

Improving Data and Modeling for Computer Vision Applications

Explore advancements in computer vision for data-centric image classification. Learn about visual prompts, parameter-efficient models, and adapting representations for improved performance and efficiency.

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