generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI
Achieve AI application observability by instrumenting Generative AI services with OpenTelemetry. Capture traces, metrics, and logs then export to Azure Monitor for alerting and dashboards.
Advanced Prompt Engineering Techniques for Better Generative AI ResultsMaster advanced prompt engineering techniques like system messages and few-shot examples to unlock better generative AI results and deterministic LLM outputs.
How to Handle Rate Limiting and Implement Retries for API Calls in PythonLearn to handle rate limiting and implement retries for API calls in Python using a safe request wrapper and Tenacity decorators. Optimize your generative AI applications.
How to Optimize Costs When Using Different LLM Providers: A Complete GuideOptimize LLM provider costs by choosing cheaper models, setting token budgets, caching responses, and using RAG to reduce prompt size. Learn cost-saving strategies now.
Deployment Strategies for Generative AI Applications: 6 Production-Ready PatternsDiscover 6 production-ready deployment strategies for generative AI applications. Explore managed services, serverless, RAG, and more to optimize cost and latency.
Effective Strategies for Testing AI Applications: A Comprehensive GuideDiscover effective strategies for testing AI applications. Learn LLM-specific techniques like adversarial testing and prompt robustness checks to ensure reliability and security.
How to Integrate Mistral and Meta Llama Model Families with GitHub ModelsIntegrate Mistral and Meta Llama models easily using an OpenAI-compatible client and GitHub token. Learn the simple steps in our beginner's guide.
How to Use Open-Source LLMs from Hugging Face in Your ApplicationsIntegrate open-source LLMs from Hugging Face into your applications using the transformers library. Learn how to configure API keys and swap models easily to enhance your projects.
How to Integrate Image Generation Capabilities Using DALL-E API in PythonIntegrate DALL-E image generation in Python using the Azure OpenAI SDK. Generate images from text prompts and display them with this quick guide.
How to Select the Right LLM for Your Project: 8 Essential Criteria from the Microsoft CurriculumDiscover 8 essential criteria from Microsoft for selecting the ideal LLM for your project. Evaluate complexity, cost, performance, safety, and more.
How to Design User Experience for Generative AI Applications: A 3-Stage FrameworkLearn to design UX for generative AI applications with our 3-stage framework. Master research, interaction design, and human-in-the-loop iteration for creative, controlled, and trustworthy AI experiences.
Low-Code AI Application Development: Building Intelligent Solutions with Microsoft Power PlatformAccelerate AI app development with Microsoft Power Platform. Build intelligent solutions fast using low-code tools, pre-built models, and natural language. Discover the benefits today.
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