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Complete guide to Python decorators covering function decorators, class decorators, decorators with arguments, preserving metadata, and real-world use cases.
Learn strategies to reduce LLM costs. Cover prompt optimization, caching, model selection, and efficient token usage.
Explore multimodal AI that understands images and text together. Learn GPT-4 Vision, CLIP, and practical applications.
Implement AI content moderation for safe platforms. Learn to detect harmful content, toxic language, and inappropriate material.
Master AI speech technologies for voice applications. Learn OpenAI Whisper for transcription and text-to-speech synthesis.
Explore AI-powered code generation tools. Learn to use GitHub Copilot, CodeLlama, and other AI coding assistants for productivity.
Master Hugging Face for accessing thousands of pre-trained models. Learn model inference, fine-tuning, and deployment.
Learn the OpenAI Assistants API for building conversational AI with persistent threads, file handling, and code interpreter capabilities.
Master vector databases like Pinecone, Weaviate, and ChromaDB for AI applications. Learn embeddings, similarity search, and scaling strategies.
Create autonomous AI agents that can use tools, plan actions, and execute complex tasks. Learn agent patterns, tool integration, and ReAct prompting.