GitHubHow to debug code with GitHub Copilot
Streamline your debugging process and enhance your understanding of code with GitHub Copilot.
AWS MLMaximize your file server data’s potential by using Amazon Q Business on Amazon FSx for Windows
Maximize your file server data’s potential with Amazon Q Business on Amazon FSx for Windows
AWS MLLLM continuous self-instruct fine-tuning framework powered by a compound AI system on Amazon SageMaker
Continuous self-instruct fine-tuning framework for LLMs powered by a compound AI system on Amazon SageMaker
AWS MLReducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases
Implementing a verified semantic cache using Amazon Bedrock Knowledge Bases to reduce hallucinations in LLM agents
AWS MLOrchestrate an intelligent document processing workflow using tools in Amazon Bedrock
Automate document processing workflows using generative AI and Amazon Bedrock tools
AWS MLAWS and DXC collaborate to deliver customizable, near real-time voice-to-voice translation capabilities for Amazon Connect
AWS and DXC collaborate to deliver customizable, near real-time voice-to-voice translation capabilities for Amazon Connect
DatabricksUpskill on foundational data and AI competencies with free training from Databricks
Enhance data and AI competencies with free Databricks training
OpenAICollege students and ChatGPT adoption in the US
Exploring the influence of College students in driving ChatGPT adoption across the US
OpenAIUber enables outstanding on-demand experiences with AI
Leveraging AI for exceptional on-demand services in Uber's platform
Google CloudHow we got to 100 million cells in our global Li-ion rack battery fleet
Achieving a milestone of 100 million Li-ion cells in the global data center fleet showcases Google's safety-first approach to battery deployment.
DatabricksAI Use Cases for Business Leaders & Innovators
Exploring the diverse AI use cases across industries for business leaders and innovators
DatabricksImproving Retrieval and RAG with Embedding Model Finetuning
Finetuning embedding models on in-domain data improves vector search and RAG accuracy, highlighting the effectiveness of task-specific optimization.