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Category: Unstructured Data

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

Question Answer Chatbot using RAG, Llama and Qdrant

Posted on May 19, 2025 by Ranjan Kumar / 0 Comment

1. Introduction I have created this teaching chatbot that can answer questions from class IX, subject SST, on the topic “Democratic politics“. I hav...

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...

Unstructured Data

How to Record, Save and Play audio in Python?

Posted on December 5, 2024 by Ranjan Kumar / 2 Comments

Libraries The following are the required libraries. Check mic check Check if you have a working microphone on your system. Following is the code snippet you can...

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  • ✨When Models Stand Between Us and the Web: The Future of the Internet in the Age of Generative AI✨
  • 🚀 Cursor AI Code Editor: Boost Developer Productivity with MCP Servers
  • Building Privacy-Preserving Machine Learning Applications in Python with Homomorphic Encryption
  • Provenance in AI: Auto-Capturing Provenance with MLflow and W3C PROV-O in PyTorch Pipelines – Part 4
  • Navigating AI Risks with NIST’s AI Risk Management Framework (AI RMF)
  • 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 Deep Dive: Parameters, Chains, Reasoning, and Guardrails
  • 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

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