Langchain Chains and Chaining explained. Gpt 3 llm tutorial with streaming responses, multi input

 

We will learn about how to form chains in langchain using OpenAI GPT 3 API. How to build chains with multiple llm calls with multi input and multi output chains. We will also learn how to use streaming responses in langchain. NOTE: YOU MUST HAVE "OPENAI_API_KEY" ENV VARIABLE SET FOR OPENAI GPT 3 API TO WORK files are available for Patreon supporters: https://www.patreon.com/posts/llm-chains-and-78923299?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=postshare_creator&utm_content=join_link Try the free GPT-4 Auto Coder app : https://gpt4autocoder.streamlit.app/ echohive discord: https://discord.gg/PPxTP3Cs3G langchain tutorial playlist: https://youtube.com/playlist?list=PL611FKPtL866MnlDPHvI3KwVGqCB-QJAx chains getting started doc: https://langchain.readthedocs.io/en/latest/modules/chains/getting_started.html chain types: https://langchain.readthedocs.io/en/latest/modules/chains/generic_how_to.html streaming responses in langchian doc: https://langchain.readthedocs.io/en/latest/modules/llms/streaming_llm.html?highlight=streaming Sequential chains doc: https://langchain.readthedocs.io/en/latest/modules/chains/generic/sequential_chains.html Timeline: 00:00 intro and demo 01:33 relevant langchain documents 01:54 Simple llm chain 03:15 multi llm chain with streaming responses 06:49 multi llm chain with multi input, output 10:54 code review and final thoughts #langchain #langchaintutorial #gpt3 #gpt #openai #openaiapi #llmchains