Lecture 18 - Generative AI API Setup: Open AI, Claude, Gemini & Pricing скачать в хорошем качестве

Lecture 18 - Generative AI API Setup: Open AI, Claude, Gemini & Pricing

🎯 Lecture 18 - Generative AI API Setup: Open AI, Claude, Gemini & Pricing In this comprehensive practical lecture, you will learn: ✅ Introduction to AI Model Providers Open AI (ChatGPT, GPT models) Anthropic Claude Google Gemini Open Source Models (DeepSeek, Meta LLaMA, Mistral) Chinese Models (Alibaba, DeepSeek) ✅ Open Source vs Private/Closed Models What are Open Source Models? Pros and Cons of Open Source Private/Closed Models API-based Access vs Local Deployment Performance Comparison Cost Analysis ✅ Popular AI Models Explained ChatGPT (Open AI) GPT-3.5 (Release Date: October 2023) GPT-4 and GPT-4.5 GPT-4o (omni models) GPT-5 Series (Mini, Nano versions) Claude 3, Claude 3.5, Claude 4.5 (Anthropic) Gemini 1.0, Gemini 2.0, Gemini 2.5, Gemini 3 (Google) DeepSeek Models LLaMA Models (Meta - Open Source) Mistral Models OLMo Models Grok (Twitter/X) ✅ Transformer Architecture What is a Transformer? "Attention is All You Need" Paper Transformer Basics Why Transformers are Powerful How Transformers Power Modern LLMs ✅ How Models are Trained Training Data Sources (Internet, Wikipedia, Books) Next Word Prediction Training Process How LLMs Learn Language Patterns Pre-training vs Fine-tuning ✅ API Integration & Setup Open AI API Getting Started with Open AI API Keys & Authentication Model Selection Claude API Integration Google Gemini API Hugging Face Integration AWS Integration GCP Integration Azure Integration ✅ LLM Development Frameworks LangChain - Most Popular Framework LangChain Installation LangChain Documentation LLaMA Index (Data Framework) HyperStack Integration Agents & Chains Memory Management Streaming Support Structured Output ✅ Advanced LLM Tools LangGraph (Advanced Application Development) Deep Agents LLM Model Integration Multi-model Applications Document Integration Multiple Data Source Connections Pinecone Integration Chrome Integration Agent-based Systems ✅ API Pricing Analysis GPT-3.5 Pricing Structure GPT-4 Pricing GPT-5 Pricing Mini and Nano Model Costs Input vs Output Token Pricing Image Generation Costs (DALL-E) Video Generation Pricing Audio Generation & Transcription Pricing Text-to-Speech Pricing ✅ Detailed Pricing Examples GPT-3.5: Input: $0.5 per 1M tokens Output: $1.5 per 1M tokens (example) GPT-5.2/GPT-5.1: Lower cost alternatives Mini and Nano versions Reduced pricing for smaller models Image Generation (DALL-E): DALL-E 3: $5 per image input / $10 per image output Token calculation based on image size (720x1020 pixels) Video Generation: $0.10 per second Quality-based pricing Based on video resolution and duration Audio/Speech: GPT-4 Audio (experimental) Transcription costs Text-to-Speech costs Voice synthesis pricing ✅ Model Selection for Your Application Performance Requirements Cost Considerations Latency Needs Accuracy Requirements Support for Different Input Types Specific Use Cases ✅ Python Integration Examples Connecting to Open AI API Making API Calls Handling Responses Error Handling Rate Limiting Authentication Methods ✅ Code Implementation Text Generation Code System Messages User Messages Temperature and Parameters Image Generation Integration Audio Processing Structured Output Fine-tuning Models ✅ LLM Application Development Building Applications with Different Models Model Switching in Code Easy Customization Integrating Multiple Services Cloud Provider Integration Database Integration File Integration ✅ Comparison of Providers Open AI vs Anthropic vs Google Performance Metrics Cost Comparison API Availability Documentation Quality Support & Community Enterprise Features ⏱️ Video Duration: 45 minutes 3 seconds 👨‍🏫 Instructor: Bipin Kumar 📚 Course: Generative AI Fundamentals 🎓 Level: Intermediate to Advanced 💡 What You'll Learn: 1. How to set up Open AI API 2. Authentication and API keys 3. Different pricing models 4. How to choose the right model 5. LangChain framework basics 6. Integration with cloud providers 7. Cost optimization strategies 8. Building production-ready applications 🔔 Don't Forget To: Subscribe for more API tutorials Like this video Share with developers in your network Leave questions in comments Check the next lecture on hands-on implementation #GenerativeAI #OpenAI #API #Claude #Gemini #LangChain #Python #MachineLearning #AIintegration #APIPricing #Tutorial #Lecture18 #WebDevelopment #CloudComputing #Deployment #LLM