GenAI & LLMs | Video 10 | Langchain Agents and Toolkits | Venkat Reddy AI Classes

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In this comprehensive tutorial on mastering AI agents with LangChain, we delve into the essentials of AI agents and their applications. You'll gain an understanding of the ReAct (Reasoning and Acting) prompting method, which enhances the decision-making capabilities of AI models.

Explore powerful tools like SerpApi for real-time data extraction and llm-math for complex mathematical computations. We also introduce toolkits such as the CSV Agent, designed for seamless interaction with multiple CSV files, enabling efficient data handling.

The video demonstrates the creation of an application that allows you to communicate with your data, making data analysis more intuitive and interactive.

Additionally, we cover the development of custom tools tailored to specific needs, with a focus on Pandas AI for advanced data manipulation and analysis. This tutorial is perfect for data scientists, machine learning enthusiasts, and AI developers looking to enhance their skills and build sophisticated AI applications.

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[giridhar]

thank you for the amazing videos and the detailed explanation. I have attended your corporate training on Deep learning in Oracle and it was amazing.
It would be really helpful and useful if you create videos on LangSmith, LangSmith, LangGraph and transformer architectures.

[rakeshkumarrout]

This really cleared a lot of doubt.thanks for sharing.can you combine multiple agents for some usecases, also use rag as well, lets say for ecommerce it should handel greeting and faewell questions handel irrelevant queries as well as do product related question answering like compairing and giving product details and all from vectorstore?take any usecase of your choice

[HamodiAlshaikhli]

I have seen your all GenAI and LLMs Course and it is wonderfule. Really great work i must say. Do you have more content coming up soon like this? Please if you have. dont let us wait to long :)

[SM-ehvz]

If we able to understand this playlist like we are good enough to do some
intermediate proj on Gen Ai sir?

I was bit previous knowledge on Basic of Gen Ai too..

[SpiritOfIndiaaa]

thanks a lot, is there any PRODuctization sample ?