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Explore the development of a specialized AI copilot by a global financial services company, achieving high accuracy and cost efficiency.

Proposing UI-JEPA framework for user intent prediction leveraging self-supervised learning and multimodal datasets

Explore the capabilities of Amazon EC2 P5e instances for high performance computing and generative AI applications

Fine-tune the Meta Llama 3 LLM using DPO, Amazon SageMaker Studio, and Amazon SageMaker Ground Truth to align responses with human preferences

Efficiency enhancements and cost reduction measures implemented in Goku Time Series Database at Pinterest to optimize storage and achieve significant cost savings.

A revolutionary tool for medical image segmentation, ScribblePrompt reduces annotation time and enhances accuracy for doctors and biomedical workers.

Empowering data exploration through AI chat using Amazon Bedrock at Domo for flexible insights and visualizations

Enhancing interactivity with new features for AI/BI Dashboards

How a global financial services company enhanced AI copilot accuracy and reduced costs with a data-centric approach and key partnerships

Introducing advanced security and governance features for Mosaic AI Gateway to enhance AI model management and deployment

Building an advanced RAG chatbot using Databricks and Pinecone for intelligent customer interactions

Transforming search industry with Vertex AI for gen AI applications and RAG solutions