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263 видео
How to Handle Unavailable Data in Open Source Models? #shorts
How Snorkel Flow's labeling functions boost coverage and model performance fast!
The Essential Design Principles Driving AI Engineering
Extracting Insights From Climate Change Research with NLP
How to Handle Unavailable Data in Open Source Models?
What is AI alignment? A high-level overview in less than four minutes!
How to Improve Data and Modeling for Computer Vision Apps
How
How to tune RAG implementations for specialized enterprise tasks
What are vision language models (
What is AI alignment? A concise explanation.
Enterprise AI alignment: a pragmatic overview
RAG Optimization: A Practical Overview for Improving Retrieval Augmented Generation
Conquer RAG Retrieval Errors: 5-Step Tuning Process in Snorkel Flow
How Snorkel Flow Enables Safe and Responsible AI Development
The Importance of Alignment in AI for Ensuring Safe Interactions
Large Language Models Can Help Make Better Image Classifiers. Here's How.
How vision language models (
Revolutionizing Enterprise AI Alignment with Programmatic Labeling
Data-centric AI for iterating on vast data sets: Andrew Ng's view
#llms
The secret ingredient to
How to Accelerate AI Training With Programmatic Data Labeling: Snorkel Flow Demo
The Benefits of Programmatic Labeling in Building a Spam Classifier
Topic chunking boosts question-answering accuracy with large language models
The Importance of Data Quality for Successful Applications
How to align LLMs to Enterprise Objectives and Policies
LLM customization made easier with synthetic data sets for specialized domains
What is AI-Ready Data? Key Takeaways from the 2025 Gartner Data & Analytics Summit
How reusable are custom domain rules? (Spoiler: not very!)
Foundation Models Tutorial, and Why Not to Fine Tune Them
How to Fine-Tune LLMs to Perform Specialized Tasks Accurately
LLM Application Improvements: The View That Developers Need
The LLM application iteration loop within Snorkel Flow
LLM Evaluation for Production Enterprise Applications
How to Add/Remove/Manage Foundation Models (FMs) and Large Language Models (LLMs) in Snorkel Flow
DEMO: How To Align LLMs for Enterprise Applications in Snorkel Flow
How to Optimize RAG Pipelines for Domain- and Enterprise-Specific Tasks
We Need Thousands of Research Papers to Flesh Out Data-Centric AI, Andrew Ng
Three Ways to Evaluate LLMs
Transforming Call Center Operations with Snorkel AI
The Iterative LLM Development Loop in Snorkel Flow
How to Evaluate LLM Performance for Domain-Specific Use Cases
Building Better LLM Applications in Snorkel Flow: An Overview
LLM Distillation: How Step-by-Step LLM Distillation Yields Incredible Results
Why You Should Never Fully Trust a Reward Model
When, Why and How to Fine-Tune LLMs for Enterprise Applications
How to Create Computer Vision Applications in Snorkel Flow
How to activate Llama 3.1 405B in Snorkel Flow
4 Ways to Align LLMs: RLHF, DPO, KTO, and ORPO
How to Upload Images and PDFs into Snorkel Flow
