Data Ingestion Data Platform LLM 
Snorkel AI
JANUARY 8, 2025
In todays fast-paced AI landscape, seamless integration between data platforms and AI development tools is critical. At Snorkel, weve partnered with Databricks to create a powerful synergy between their data lakehouse and our Snorkel Flow AI data development platform.
AWS Machine Learning Blog
JUNE 18, 2024
This manual synchronization process, hindered by disparate data formats, is resource-intensive, limiting the potential for widespread data orchestration. The platform, although functional, deals with CSV and JSON files containing hundreds of thousands of rows from various manufacturers, demanding substantial effort for data ingestion.
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Snorkel AI
JANUARY 8, 2025
In todays fast-paced AI landscape, seamless integration between data platforms and AI development tools is critical. At Snorkel, weve partnered with Databricks to create a powerful synergy between their data lakehouse and our Snorkel Flow AI data development platform.
The MLOps Blog
MARCH 12, 2024
TL;DR LLMOps involves managing the entire lifecycle of Large Language Models (LLMs), including data and prompt management, model fine-tuning and evaluation, pipeline orchestration, and LLM deployment. However, transforming raw LLMs into production-ready applications presents complex challenges.
Bugra Akyildiz
FEBRUARY 24, 2024
Streaming data platforms: Apache Kafka and Apache Flink enable real-time ingestion and processing of user actions, clickstream data, and product catalogs, feeding fresh data to the models. Three crucial stages exist in LLM serving: Prefill: Computes attention between all queries and the Key-Value (KV) cache.
TransOrg Analytics
SEPTEMBER 24, 2024
AWS Data Exchange: Access third-party datasets directly within AWS. Data & ML/LLM Ops on AWS Amazon SageMaker: Comprehensive ML service to build, train, and deploy models at scale. Amazon EMR: Managed big data service to process large datasets quickly. Snowpark: Native support for data engineering and ML workflows.
TransOrg Analytics
SEPTEMBER 24, 2024
AWS Data Exchange: Access third-party datasets directly within AWS. Data & ML/LLM Ops on AWS Amazon SageMaker: Comprehensive ML service to build, train, and deploy models at scale. Amazon EMR: Managed big data service to process large datasets quickly. Snowpark: Native support for data engineering and ML workflows.
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