copy and paste this google map to your website or blog!
Press copy button and paste into your blog or website.
(Please switch to 'HTML' mode when posting into your blog. Examples: WordPress Example, Blogger Example)
Input Form:Deal with this potential dealer,buyer,seller,supplier,manufacturer,exporter,importer
(Any information to deal,buy, sell, quote for products or service)
AI Optimizer and Toolkit - Oracle Oracle AI Optimizer and Toolkit allows you to easily explore retrieval-augmented generation (RAG) and agents in a no-code environment, with the full power of Oracle AI Vector Search to optimize the accuracy and safety of your AI project Use the built-in evaluation framework to find the right models and parameters for your specific use case
Fine-Tuning and Deploying Phi-3. 5 Model with Azure and AI Toolkit The AI Toolkit is a lightweight platform that simplifies local deployment of AI models, allowing for offline usage, experimentation, and rapid prototyping Deploying the Phi-3 5 model locally using the AI Toolkit is straightforward and can be used for personal projects, testing, or scenarios where cloud access is limited Introduction to AI Toolkit
aws-solutions generative-ai-application-builder-on-aws - GitHub | Generative AI Application Builder on AWS | 🚧 Feature request | 🐛 Bug Report | 📖 Implementation Guide | NOTE: If you want to use the solution without any custom changes, navigate to Solution Landing Page and click the "Launch in the AWS Console" in the Deployment options for a 1-click deployment into your AWS Console ; If you are upgrading from v1 4 x to the current version, please
AI Engineer DevTools: CLI Toolkit for AI Agent Development | Creati. ai AI Engineer DevTools is a comprehensive developer toolkit that simplifies building and maintaining AI agents It offers command-line scaffolding for project structure, code generation for standard agent patterns, environment configuration scripts, integrated testing frameworks, CI CD pipeline examples, deployment automation, and monitoring setup
Speed AI Development and Deployment Using 4th Gen Intel® Xeon . . . and applications that make generative AI and large language model development easier The combination of Hugging Face’s tools and AI-acceleration features built into 4th Gen Intel® Xeon® processors underlying Amazon EC2 instances prove ideal for companies seeking a more turnkey approach for developing performant and scalable AI solutions