LLM Ecosystem LangChain OpenAI API Chat Models Embeddings Explained

Description

In this video, we understand the complete LLM ecosystem including commercial models, open source models, and how to build applications using LangChain. This is a very important video if you want to build real world Generative AI applications. Here is the GitHub repo link https://github.com/switch2ai You can download all the code, scripts, and documents from the above GitHub repository. Commercial LLMs Paid Models These models are closed source and available via API OpenAI GPT models like GPT 4, GPT 4o Anthropic Claude Sonnet, Haiku, Opus Google Gemini Amazon Bedrock Titan Cohere Command R Open Source LLMs Free Models These models provide weights and can be downloaded and run locally DeepSeek Meta LLaMA models Mistral Mixtral Google Gemma OpenAI GPT OSS Traditional vs Modern AI Machine Learning Scikit learn Deep Learning TensorFlow and PyTorch LLM Applications LangChain LangChain LangChain is a framework used to build applications powered by large language models OpenAI API Setup Go to OpenAI platform Create API key Add billing Store key securely Access key in code Use environment variables to connect with models LangChain Ecosystem LangChain core library LangChain community for integrations LangChain experimental for new features Model specific libraries like LangChain OpenAI LangGraph for agent based applications LangSmith for monitoring and debugging LangChain Components Models LLMs Text in text out models Chat Models Conversation based models Embedding Models Convert text into vectors Prompts Prompt templates to structure input Chains Combine multiple steps Output Parser Convert model output into structured format Memory Store conversation history Tools Access external APIs and functions Agents Autonomous decision making systems Document Loaders Load data from files Vector Store Store embeddings for retrieval LLM vs Chat Model LLM Input text Output text Chat Model Input list of messages Output message Chat models are more powerful and commonly used today Message Types System Message Defines behavior of model Human Message Input from user AI Message Response from model Example You can control model behavior using system message Helpful assistant Funny assistant Translator Embedding Models Convert text into vectors Used in Search Recommendation RAG systems Example Convert question into vector By the end of this video, you will clearly understand the LLM ecosystem, types of models, and how to use LangChain to build real world AI applications. Channel Name Switch 2 AI Hashtags #LangChain #LLM #OpenAI #Claude #Gemini #LLaMA #GenerativeAI #DeepLearning #MachineLearning #Switch2AI SEO Tags langchain tutorial llm ecosystem explained openai api setup chat model vs llm embedding model explained langchain components explained gpt claude gemini comparison open source llm vs commercial llm how to use langchain ai application development tutorial generative ai tools explained llm frameworks tutorial vector embeddings explained rag langchain tutorial Switch 2 AI SEO Tags 500 characters comma separated langchain tutorial,llm ecosystem explained,openai api setup,chat model vs llm,embedding model explained,langchain components explained,gpt claude gemini comparison,open source llm vs commercial llm,how to use langchain,ai application development tutorial,generative ai tools explained,llm frameworks tutorial,vector embeddings explained,rag langchain tutorial,Switch 2 AI,langchain openai tutorial