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Build AI Agents using LangChain - Simple Python Implementation
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LLMs suffer from 2 major drawbacks
* Even though the LLMs (Large Language Models) are trained on huge corpus of data, their knowledge is limited to the training data
* Outdated information
In order to solve the above two problems, LangChain Agents allow thinking and interacting with the world to solve tasks
In this video, we shall learn about LangChain Agents and build an agent using tools in LangChain in a step-by-step manner
References:
If you find the content useful, make sure to give it a THUMBS UP :)
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Why learn from datahat??
"Datahat is a bridge"
learners --- professionals by simplified data science
It provides a platform to learn, create and collaborate helping in the #career #transition to data science, machine learning and data analysis
--------------------------------------------------------------------------------------------------------------------------------------
Additionally, here are few more useful resources for beginners and curious data enthusiasts
Remember, "the greatest investment ever made is investment in self growth and learning"
* Even though the LLMs (Large Language Models) are trained on huge corpus of data, their knowledge is limited to the training data
* Outdated information
In order to solve the above two problems, LangChain Agents allow thinking and interacting with the world to solve tasks
In this video, we shall learn about LangChain Agents and build an agent using tools in LangChain in a step-by-step manner
References:
If you find the content useful, make sure to give it a THUMBS UP :)
--------------------------------------------------------------------------------------------------------------------------------------
Why learn from datahat??
"Datahat is a bridge"
learners --- professionals by simplified data science
It provides a platform to learn, create and collaborate helping in the #career #transition to data science, machine learning and data analysis
--------------------------------------------------------------------------------------------------------------------------------------
Additionally, here are few more useful resources for beginners and curious data enthusiasts
Remember, "the greatest investment ever made is investment in self growth and learning"