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How Things Work: An Introduction to Physics
End of Life Care: Challenges and Innovation
Understanding Medical Research: Your Facebook Friend is Wrong
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Streamline data labeling with Alfred, combining foundation models and weak supervision to create high-quality training datasets for academic research and machine learning projects.
Master RAG pipeline optimization for accurate, reliable LLM applications. Learn semantic document chunking, embedding techniques, and fine-tuning strategies. Leverage Snorkel Flow to accelerate development and overcome retrieval errors.
Explore LLM evaluation for enterprise applications, covering metrics, approaches, and tools to ensure accuracy, compliance, and suitability for organizational needs.
Learn to build a robust evaluation framework for enterprise LLMs using Snorkel Flow. Explore techniques for creating quality training data and analyzing performance across metrics and data slices.
Explore advanced LLM evaluation techniques for enterprise AI, including data-centric approaches, quality modeling, and fine-grained benchmarking to overcome common challenges and improve performance.
Discover efficient techniques for aligning large language models with enterprise applications using Snorkel Flow, streamlining the process of training data preparation and model adaptation.
Explore groundbreaking research extending weak supervision to new task types, including ranking, and its potential impact on AGI superalignment.
Explore fine-tuning methods for LLMs, learn to curate high-quality training data efficiently, and understand evaluation techniques for accurate enterprise deployment of specialized language models.
Discover enterprise LLM alignment techniques to improve AI chatbot accuracy and compliance. Learn to align AI assistants with industry standards and policies for enhanced performance.
Explore how follow-up differential descriptions enhance zero-shot image classification by tailoring class descriptions, improving performance and addressing ambiguities in datasets.
Accelerate AI development with programmatic data labeling. Learn efficient knowledge capture, automated labeling, and iterative improvement techniques for enterprise AI initiatives.
Discover practical techniques for optimizing RAG systems, from document chunking to embedding models and data enrichment, to enhance LLM performance and reliability.
Optimize RAG implementations for enterprise tasks. Learn to fine-tune components, apply AI data development techniques, and accelerate production delivery for increased accuracy and precision.
Accelerate LLM fine-tuning with Bonito: Generate task-specific training data for faster instruction tuning and improved zero-shot task adaptation on specialized, private datasets.
Explore Snorkel Flow's latest release: enhanced security, image categorization, LLM integrations, and document intelligence workflows for advanced AI-driven insights and custom solutions.
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