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

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