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Tag: Data Science

AI & Machine Learning

Python Concepts Every AI Engineer Must Master to Build Scalable, Production-Grade AI Systems

Amir Mahmud, June 13, 2026

The rapid evolution of Artificial Intelligence, particularly with the advent of large language models (LLMs)…

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AI & Machine Learning

Achieving Cost-Effective and Private Text Classification with Locally Hosted Language Models via Ollama and Scikit-LLM

Amir Mahmud, June 4, 2026

The burgeoning field of artificial intelligence, particularly large language models (LLMs), has revolutionized numerous industries,…

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AI & Machine Learning

Building a Context-Aware Semantic Search Engine in Python Combining Embedding-Based Similarity with Structured Metadata Filtering

Amir Mahmud, June 4, 2026

The escalating volume of unstructured data within enterprises has rendered traditional keyword-based search systems increasingly…

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AI & Machine Learning

Implementing Hybrid Semantic-Lexical Search for Production-Ready RAG Systems.

Amir Mahmud, June 4, 2026

The transition of Retrieval-Augmented Generation (RAG) systems from experimental prototypes to robust, production-ready solutions hinges…

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AI & Machine Learning

The Statistics of Token Selection: Logits, Temperature, and Top-P Walkthrough

Amir Mahmud, June 4, 2026

In the rapidly evolving landscape of artificial intelligence, understanding the intricate mechanisms that govern the…

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AI & Machine Learning

Building Resilient AI Agents: A Deep Dive into Error Recovery with Gemma 4 Tool Calling

Amir Mahmud, June 3, 2026

The evolution of artificial intelligence agents capable of interacting with external tools marks a significant…

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AI & Machine Learning

Benchmarking Text Classification: Navigating the Landscape from Classical TF-IDF to Advanced Zero-Shot LLMs

Amir Mahmud, June 2, 2026

The evolving landscape of artificial intelligence continues to redefine the boundaries of what’s possible in…

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AI & Machine Learning

Building Production-Grade LLM Systems: A Six-Step LLMOps Roadmap for Observability, Evaluation, Cost Control, and Agent Orchestration

Amir Mahmud, June 1, 2026

The burgeoning market for Large Language Model Operations (LLMOps) is on a rapid growth trajectory,…

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AI & Machine Learning

Revolutionizing Large Language Model Inference: The Emergence of Continuous Batching for Enhanced Efficiency

Amir Mahmud, May 31, 2026

The deployment of Large Language Models (LLMs) has ushered in a new era of artificial…

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AI & Machine Learning

Choosing the Right Agentic Design Pattern: A Decision-Tree Approach

Amir Mahmud, May 29, 2026

The Rise of Agentic AI and the Design Imperative The field of AI is rapidly…

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