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Human evaluation strategies
Last Updated: 03 April 2026
Human evaluation is the process by which people judge the quality of NLP model outputs. Unlike automated metrics, it captures qualities that are difficult to measure progr...
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Data Science
Python Libraries for AI, ML, DL and Data Science
Last Updated: 19 March 2026
Python provides an ecosystem of libraries that simplify building applications in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL) and Data Science. ...
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Data Science
AI-ML-DS With Python
Deploying Model on Hugging Face Spaces
Last Updated: 14 April 2026
Deploying a model allows developers to share machine learning applications to user via an interactive web interface. Hugging Face Spaces provides an easy way to host and d...
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Data Science
Applications of Dimensionality Reduction
Last Updated: 19 February 2026
Dimensionality reduction is a technique in data analysis that reduces the number of variables or features in a dataset while keeping the most important information. It hel...
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Data Science
Introduction to Partial Order Planning (POP)
Last Updated: 11 February 2026
Partial Order Planning (POP) is an Artificial Intelligence planning technique designed to create flexible plans instead of rigid, step-by-step sequences. Rather than fixin...
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Data Science
Implementing Branched RAG
Last Updated: 10 February 2026
Branched Retrieval‑Augmented Generation (Branched RAG) is a type of RAG system where multiple retrieval paths operate in parallel to handle complex queries. Each branch re...
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Data Science
Artificial Intelligence
Fake News Classification with Word2Vec
Last Updated: 14 February 2026
Here we are building a fake news classification system in Python that uses Word2Vec embeddings to represent text and a machine learning classifier to determine whether a n...
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Data Science
Introduction to Hypothetical Document Embeddings (HyDE)
Last Updated: 10 February 2026
HyDE (Hypothetical Document Embedding) is an extension of traditional retrieval in Retrieval Augmented Generation (RAG) where the system generates a hypothetical document ...
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Data Science
Introduction to Branched RAG
Last Updated: 06 February 2026
Branched RAG is an extension of Retrieval-Augmented Generation (RAG) where the system explores multiple retrieval or reasoning paths instead of a single linear process. By...
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Data Science
Introduction to Graph-Based Semi-Supervised Learning
Last Updated: 07 February 2026
Graph‑Based Semi‑Supervised Learning is a machine learning approach that uses both labelled and unlabelled data by modelling their relationships as a graph. Here, data poi...
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Data Science
How to Evaluate LLMs in Production: From UAT to Continuous Monitoring
Last Updated: 23 December 2025
Evaluation is the missing link that turns an LLM from a prototype into a system you can trust in production.Think of deployment in two phases:UAT (User Acceptance Testing)...
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Data Science
AI News
Data Science
RankLLM Reranker LangChain
Last Updated: 14 February 2026
RankLLM is an advanced reranking framework designed to improve the relevance and accuracy of retrieval-augmented generation (RAG) systems. When integrated with LangChain, ...
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Data Science
Large Language Model(LLM)
Data Drift vs. Model Drift
Last Updated: 03 November 2025
Machine learning systems often degrade in performance after deployment due to evolving data patterns and shifts in real-world behavior. Two common issues responsible for t...
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Data Science
Machine Learning
Model Drift
Last Updated: 08 April 2026
Model drift refers to the gradual degradation in a deployed model’s performance due to changes in real world data or relationships between input features and the target. A...
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Data Science
Machine Learning
Improving LLM Accuracy using Reranking
Last Updated: 14 February 2026
Reranking is an advanced post-processing technique that enhances the accuracy and relevance of outputs generated by Large Language Models (LLMs). Instead of relying on a s...
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Data Science
Large Language Model(LLM)
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