Category: Artificial Intelligence(AI)

Building Chatbots with Personality: Using AI to Enhance User Experience

Posted on by Nithin Mohan TK 8 min read

Over the past two decades of building enterprise software systems, I’ve watched conversational AI evolve from simple rule-based decision trees to sophisticated agents capable of nuanced, context-aware dialogue. Having architected chatbot solutions for financial services, healthcare, and e-commerce platforms, I’ve learned that the difference between a chatbot users tolerate and one they genuinely enjoy interacting […]

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Async LLM Patterns: Concurrent Execution, Rate Limiting, and Task Queues for High-Throughput AI Applications

Posted on by Nithin Mohan TK 12 min read

Introduction: LLM API calls are inherently I/O-bound—waiting for network responses dominates execution time. Async programming transforms this bottleneck into an opportunity for massive parallelism. Instead of waiting sequentially for each response, async patterns enable concurrent execution of hundreds of requests while efficiently managing resources. This guide covers practical async patterns for LLM applications: concurrent request […]

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Prompt Template Management: Engineering Discipline for LLM Prompts

Posted on by Nithin Mohan TK 9 min read

Introduction: Prompts are the interface between your application and LLMs. As applications grow, managing prompts becomes challenging—they’re scattered across code, hard to version, and difficult to test. A prompt template system brings order to this chaos. It separates prompt logic from application code, enables versioning and A/B testing, and makes prompts reusable across different contexts. […]

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AI for Environmental Sustainability: Innovations and Applications

Posted on by Nithin Mohan TK 6 min read

After two decades of building enterprise systems and watching technology evolve from mainframes to cloud-native architectures, I’ve witnessed few technological shifts as profound as the application of artificial intelligence to environmental challenges. What makes this intersection particularly compelling isn’t just the technical sophistication—it’s the urgency. Climate change, biodiversity loss, and resource depletion aren’t abstract problems […]

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Exploring Anaconda AI Navigator: A Comprehensive Guide for Windows Users

Posted on by Nithin Mohan TK 5 min read

When Anaconda released their AI Navigator tool, I was skeptical. After two decades of building data science environments from scratch, managing conda environments manually, and wrestling with dependency conflicts across dozens of projects, I wondered if yet another GUI tool could actually solve the problems that have plagued Python development for years. After six months […]

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Document Processing with LLMs: Enterprise Parsing, Chunking, and Extraction (Part 2 of 2)

Posted on by Nithin Mohan TK 16 min read

Introduction: Processing documents with LLMs unlocks powerful capabilities: extracting structured data from unstructured text, summarizing lengthy reports, answering questions about document content, and transforming documents between formats. However, effective document processing requires more than just sending text to an LLM—it demands careful parsing, intelligent chunking, and strategic prompting. This guide covers practical document processing patterns: […]

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