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Ranjan Kumar
A Seasoned Software Practitioner who loves to build cutting edge AI applications.
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Author: Ranjan Kumar

AI & ML/GenAI/Natural Language Processing - NLP

Prompt Engineering

Posted on March 9, 2025 by Ranjan Kumar / 0 Comment

Prompt is a text set passed to the GenAI model as instructions. Given the prompt, the model responds with some generated text. A prompt can be questions, statem...

AI & ML/GenAI/Natural Language Processing - NLP

Text Clustering and Topic Modeling using Large Language Models (LLMs)

Posted on March 4, 2025 by Ranjan Kumar / 0 Comment

1. Introduction Text clustering is an unsupervised approach that helps in discovering patterns in data. Grouping similar texts according to their semantic conte...

AI & ML/GenAI/Natural Language Processing - NLP

Text Classification using Large Language Models (LLMs)

Posted on March 3, 2025 by Ranjan Kumar / 0 Comment

1. Introduction A common task in natural language processing (NLP) is text classification. Use cases of text classification include sentiment analysis, intent d...

AI & ML/GenAI/Uncategorized

Inside the LLM Inference Engine: Architecture, Optimizations, Tools, Key Concepts and Best Practices

Posted on February 9, 2025 by Ranjan Kumar / 0 Comment

1. Introduction LLM inference and serving refer to the process of deploying large language models and making them accessible for use — whether locally for perso...

AI & ML/GenAI

Fact-checking in LLM

Posted on February 5, 2025 by Ranjan Kumar / 0 Comment

Summary of fact-checking in LLM #llm #hallucinations #misinformation

AI & ML/GenAI

Summary of the paper DeepSeek-R1

Posted on January 30, 2025 by Ranjan Kumar / 0 Comment

AI & ML/GenAI

How do you choose among competing open-source products? Example comparison of open-source vector databases.

Posted on January 28, 2025 by Ranjan Kumar / 0 Comment

Following are the questions that should be running in your mind when you are to choose from competing open-source products: The popularity and traction of GitHu...

AI & ML/GenAI/Natural Language Processing - NLP/Unstructured Data

Hands-on Tutorial on Making an Audio Bot using LLM, and RAG

Posted on January 27, 2025 by Ranjan Kumar / 1 Comment

1. Learning Outcome 2. Large Language Model Large Language Model (LLM) is an artificial intelligence (AI) model with billions of parameters, trained on huge amo...

AI & ML/Computer Vision/GenAI/Natural Language Processing - NLP

My notes on AI-Generated Content (AIGC)

Posted on January 7, 2025 by Ranjan Kumar / 0 Comment

AI & ML/GenAI/IoT / Edge Computing

Making a talking bot using Llama3.2:1b running on Raspberry Pi 4 Model-B 4GB

Posted on January 2, 2025 by Ranjan Kumar / 3 Comments

Introduction In this article, I describe my experiment on making a talking bot using a Large Language Model Llama3.2:1b and running it successfully on the Raspb...

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  • Provenance in AI: Building a Provenance Graph with Neo4j – Part 3
  • Provenance in AI: Tracking AI Lineage with Signed Provenance Logs in Python – Part 2
  • Provenance in AI: Why It Matters for AI Engineers – Part 1
  • LLMs for SMEs – 001: How Small Businesses Can Leverage AI Without Cloud Costs
  • LLM-Powered Chatbots: A Practical Guide to User Input Classification and Intent Handling
  • Reranking for RAG: Boosting Answer Quality in Retrieval-Augmented Generation
  • ChatML: The Structured Language Behind Conversational AI
  • Fast Face Search (Billion-scale Face Recognition) using Vector DB (Faiss)
  • Question Answer Chatbot using RAG, Llama and Qdrant
  • On Emergent Abilities of Large Language Models
  • Prompt Engineering
  • Text Clustering and Topic Modeling using Large Language Models (LLMs)
  • Text Classification using Large Language Models (LLMs)
  • Inside the LLM Inference Engine: Architecture, Optimizations, Tools, Key Concepts and Best Practices
  • Fact-checking in LLM
  • Summary of the paper DeepSeek-R1
  • How do you choose among competing open-source products? Example comparison of open-source vector databases.
  • Hands-on Tutorial on Making an Audio Bot using LLM, and RAG
  • My notes on AI-Generated Content (AIGC)
  • Making a talking bot using Llama3.2:1b running on Raspberry Pi 4 Model-B 4GB

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  • Computer Vision
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  • Deep Reinforcement Learning
  • Explainable AI
  • GenAI
  • IoT / Edge Computing
  • LLMs
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  • Natural Language Processing – NLP
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  • Uncategorized
  • Unstructured Data
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