DatabricksSupercharging Private Equity Portfolio Returns
Exploring how data intelligence can enhance private equity portfolio returns using Databricks Data Intelligence Platform
Snorkel AIUnlock proprietary data with Snorkel Flow and Amazon SageMaker
Accelerate LLM development and fine-tuning using Snorkel Flow and Amazon SageMaker
DatabricksAnnouncing Public Preview of Cross Platform View Sharing
Enable secure and seamless data exchange with cross-platform view sharing across different environments via Delta Sharing protocol.
AWS MLAWS DeepRacer: How to master physical racing?
Explore mastering physical racing challenges with AWS DeepRacer in a detailed overview of virtual vs. physical environments and model training.
AWS MLCohere Rerank 3.5 is now available in Amazon Bedrock through Rerank API
Cohere Rerank 3.5 enhances search relevance and robust reranking capabilities in Amazon Bedrock through Rerank API for improved information retrieval systems.
MIT AIA data designer driven to collaborate with communities
Exploring the intersection of data design, social issues, and civic engagement through the work of MIT Associate Professor Catherine D’Ignazio
AWS MLEasily deploy and manage hundreds of LoRA adapters with SageMaker efficient multi-adapter inference
Deploy and manage LoRA adapters at scale using SageMaker's efficient multi-adapter inference feature
AWS MLImprove the performance of your Generative AI applications with Prompt Optimization on Amazon Bedrock
Enhance the performance of Generative AI applications by optimizing prompts effortlessly on Amazon Bedrock with significant improvements demonstrated in various tasks.
AWS MLEmbodied AI Chess with Amazon Bedrock
Explore Embodied AI Chess enhancements with sophisticated AI and large language models using the Custom Model Import feature in Amazon Bedrock for engaging matches and innovative gameplay.
AWS MLSearch enterprise data assets using LLMs backed by knowledge graphs
Use LLMs backed by knowledge graphs for searching enterprise data assets.
AWS MLGetting started with Amazon Bedrock Agents custom orchestrator
Exploring Amazon Bedrock Agents custom orchestrator for generative AI workflows
AWS MLEfficiently train models with large sequence lengths using Amazon SageMaker model parallel
Efficiently train large sequence models with Amazon SageMaker model parallel library with FP8 mixed-precision training and context parallelism for improved performance and lower costs.