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AI for Geeks: AI Tools List
Last Updated: 06 December 2025
Welcome back to the eighth edition of AI for Geeks!We survived the hype, tamed randomness, built guardrails, measured everything, stared at the infra monster, watched deve...
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AI for Geeks: The New Way of Development
Last Updated: 02 December 2025
Welcome back to the seventh edition of AI for Geeks!We cut the hype, learned to tame randomness, locked models behind guardrails, measured them ruthlessly, stared at the t...
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What are State Space Models (SSMs)
Last Updated: 25 November 2025
A State Space Model (SSM) is a mathematical framework used to model and predict how a system evolves over time. Many real-world systems, such as weather, stock prices or b...
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N Shot Learning
Last Updated: 17 November 2025
N shot learning is a machine learning approach that trains models using only N data points per class, where N is very small. It is designed for situations where collecting...
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AI for Geeks: After the AI Bubble
Last Updated: 14 November 2025
Welcome back to the fifth edition of AI for Geeks!We began with AI for Geeks, a flashlight in the hype fog. Determinism exposed the wild randomness of LLMs. Guardrails bui...
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Metric Learning
Last Updated: 17 November 2025
Metric Learning is a machine learning approach that learns an optimal distance function from labeled data. The goal is to create an embedding space where similar data poin...
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What is a Mamba model
Last Updated: 24 November 2025
Mamba is a neural network architecture designed for large language models and long-sequence tasks. It overcomes Transformer limitations by providing faster inference, lowe...
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Large Language Model(LLM)
Bias Drift in Machine Learning
Last Updated: 13 November 2025
Bias Drift refers to the gradual change in a model’s fairness or bias characteristics over time, even if its overall accuracy remains stable. It means the model’s predicti...
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Building an LLM Chatbot using Flowise AI
Last Updated: 11 November 2025
Large Language Models have transformed how machines understand and respond to human language. However, creating a chatbot that uses these models effectively while managing...
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What is Red Teaming for Generative AI ?
Last Updated: 11 November 2025
Red Teaming is a systematic evaluation process where experts known as red teamers intentionally challenge and test a system to uncover weaknesses just like an attacker or ...
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GenAIOps
Last Updated: 15 November 2025
GenAIOps (Generative AI Operations) is a modern operational framework that extends MLOps to manage the complete lifecycle of Generative AI systems. It ensures that Generat...
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Scaling GenAI
Last Updated: 10 November 2025
Scaling Generative AI means moving from small, isolated proofs of concept to production ready AI systems that work reliably across multiple teams, workflows and geographie...
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Casual Machine Learning
Last Updated: 08 November 2025
Causal Machine Learning (Causal ML) uncovers true cause and effect relationships by combining prediction with causal inference. It goes beyond correlation to understand wh...
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AI for Geeks: LLM Evaluation
Last Updated: 08 November 2025
Welcome back to the fourth edition of AI for Geeks!We started with AI for Geeks, a survival guide to the hype storm. Then, Determinism in LLMs exposed the chaos of non-det...
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Knowledge Graphs for RAG
Last Updated: 10 November 2025
A Knowledge Graph in RAG (Retrieval-Augmented Generation) is a structured representation of information where entities (nodes) and their relationships (edges) are explicit...
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Artificial Intelligence
Large Language Model(LLM)
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