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Introducing AI For Geeks
Last Updated: 18 October 2025
I glanced at the calendar today, October 18th. It struck me that there are just 75 days left until we ring in a new year. 2025 has been a whirlwind. The AI hype train that...
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Tracing with LangChain
Last Updated: 18 October 2025
Tracing in LangChain helps us understand how our application works behind the scenes. It records each action taken by the language model, retriever or tool as our chain or...
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LangChain vs. LangGraph
Last Updated: 15 October 2025
LangChain and LangGraph are tools that help build AI workflows. LangChain works in a step by step way, while LangGraph allows more flexible paths. Both make it easier to c...
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Large Language Model(LLM)
Top Agentic AI Interview Questions and Answers
Last Updated: 14 October 2025
ZSthe Agentic AI are systems that not only generates responses but can also reason, plan and take autonomous actions. These intelligent agents can decide what to do next, ...
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Posterior Approximation
Last Updated: 10 October 2025
Posterior approximation estimates the intractable posterior distribution p(z∣x) in complex models enabling efficient learning and inference. It is used in variational infe...
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Reparameterization Trick
Last Updated: 11 October 2025
The Reparameterization Trick is used in probabilistic models like Variational Autoencoders (VAEs) to make random sampling differentiable. Usually, sampling breaks gradient...
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Building a Multi Agent AI with LangChain and LangGraph
Last Updated: 09 October 2025
The Multi Agent AI Software Development Assistant is built to make coding tasks easier and faster. Instead of writing code manually, we describe our task in query and spec...
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Large Language Model(LLM)
Building a Math Application with LangChain Agents
Last Updated: 30 September 2025
Math Application with LangChain Agents is built to make solving math problems from images easier. Instead of having to type out a question from a book, worksheet or even h...
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Conversation Buffer Window Memory in Langchain
Last Updated: 09 October 2025
Conversation Buffer Window Memory in LangChain stores only the most recent exchanges in a conversation instead of the full dialogue history. It functions like a sliding wi...
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Large Language Model(LLM)
Indexing in Langchain
Last Updated: 29 September 2025
Indexing in LangChain is the process of organizing documents in a vector database such that a language model can quickly find and use them. It works by turning documents i...
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Conversation Buffer Memory with LangChain
Last Updated: 09 October 2025
Conversation Buffer Memory is a type of Memory in LangChain that stores the full, unsummarized conversation history as a simple buffer of messages. It helps language model...
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Large Language Model(LLM)
Knowledge Graphs using LangChain
Last Updated: 27 September 2025
Knowledge graphs provide a structured way to represent entities and their relationships making data easier to query and reason over. They are used to capture and organize ...
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Retrieval Chains in LangChain
Last Updated: 23 September 2025
Retrieval chains enable Large Language Model to use external data sources. LLMs only generate responses on their own based on training data which can be outdated or incomp...
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Retrieval Augmented Generation with Memory
Last Updated: 09 October 2025
Retrieval Augmented Generation generates responses using external data, reducing hallucinations and improving factual accuracy. It can only retrieve from static knowledge ...
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Large Language Model(LLM)
Adaptive Retrieval Augmented Generation
Last Updated: 09 October 2025
Adaptive RAG enhances Retrieval Augmented Generation systems by the analyzing the complexity of the input query and then selecting the most appropriate retrieval strategy ...
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Artificial Intelligence
Large Language Model(LLM)
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