🚀Hands-on Tutorial: Fine-tune a Cross-Encoder for Semantic Similarity
🔥 Why Fine-Tune a Cross-Encoder? 1. More Accurate Semantic Judgments: 2. Adapting to Domain-Specific Data Without fine-tuning, the model might miss these domain...
Category: Unstructured Data
🔎 A Deep Dive into Cross-Encoders and How They Work
1️⃣ Introduction In AI systems that retrieve or generate information, ranking quality and relevance are critical. Whether you are building a RAG-based assistant...
🔎Building a Full-Stack Hybrid Search System (BM25 + Vectors + Cross-Encoders) with Docker
1️⃣ Introduction Search is at the heart of every AI application. Whether you’re building a legal research assistant, a compliance monitoring tool, or an LLM-pow...
🔎BM25-Based Searching: A Developer’s Comprehensive Guide
📌 Introduction: Why BM25 Matters Imagine you type “best Python tutorials” into a search engine. Millions of web pages match your query—but how does the engine k...
Question Answer Chatbot using RAG, Llama and Qdrant
1. Introduction I have created this teaching chatbot that can answer questions from class IX, subject SST, on the topic “Democratic politics“. I hav...
Hands-on Tutorial on Making an Audio Bot using LLM, and RAG
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...
Python Audio Recording Tutorial – Record, Save & Play
1. Introduction Ever needed to add voice recording to your Python app? Maybe you’re building a transcription tool, a voice note feature, or just want to c...