AI - Build LLM based Apps using LangChain Crash Course | Large Language Models | Chaining | Chat Models

If you appreciate the content and the hard work, Please 𝐬𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 - https://www.youtube.com/@KeertiPurswani 𝐍𝐨𝐭𝐞𝐬 𝐚𝐫𝐞 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 𝐡𝐞𝐫𝐞 𝐟𝐨𝐫 𝐅𝐫𝐞𝐞 - https://register.educosys.com/new-courses/32-free-machine-learning-course 𝐂𝐡𝐞𝐜𝐤𝐨𝐮𝐭 𝐝𝐞𝐭𝐚𝐢𝐥𝐬 𝐚𝐧𝐝 𝐞𝐧𝐫𝐨𝐥𝐥 𝐟𝐨𝐫 𝐨𝐮𝐫 𝐋𝐈𝐕𝐄 𝐜𝐨𝐮𝐫𝐬𝐞𝐬 𝐡𝐞𝐫𝐞- https://www.educosys.com 𝐄𝐝𝐮𝐜𝐨𝐬𝐲𝐬 𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦 - https://www.instagram.com/educosys 𝐄𝐝𝐮𝐜𝐨𝐬𝐲𝐬 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 - https://www.linkedin.com/company/98837223 You can also connect with me on- 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 - https://www.linkedin.com/in/keertipurswani 𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦 (for personal, raw and real side of my life) - https://www.instagram.com/keerti.purswani Code for reference - https://github.com/keertipurswani/MachineLearningTutorials Timeline- 0:00 - Coming Up 0:18 - What is LangChain, Why is it needed 2:13 - Documentation and Setup 3:43 - Educosys Live Hands-on GenAI course 5:19 - Setup OpenAI API Key 7:20 - Interacting with LLMs using ChatModels, invoke 11:54 - ChatModels, Packages supported by LangChain 12:59 - Model and Temperature for ChatModels 14:22 - Messages 17:45 - Prompt Templates | Custom user input in messages 25:52 - What are Chains, Runnables 27:23 - Runnable types 28:44 - Chain code for Movie Title Suggestions 31:15 - Deprecated LLMChain class 32:25 - Creating composed chains | Movie Summary 36:26 - RunnableLambdas | Printing Movie Title by creating custom Runnable 40:18 - Types of Chaining 41:48 - RunnableSequence 42:54 - RunnableParallel | Translate summary to hindi & spanish in parallel 47:36 - RunnableBranch | Conditional Chaining using RunnableLambda 49:40 - Thank You #softwaredevelopment #softwareengineer #machinelearningengineer #artificialintelligenceandmachinelearning