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Insights on AI, Machine Learning, Web Development, and emerging technologies from industry experts.
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PristrenPristrenInsights on AI, Machine Learning, Web Development, and emerging technologies from industry experts.
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145–156 of 528
PyTorch, MLflow, DVC, vLLM, Airflow -- the ML tooling landscape is vast. Here is a curated map of the tools that matter, what each does, and how to choose for startup vs enterprise.
Mahmudul Haque Qudrati
CEO & ML Engineer
LangChain is a powerful LLM framework, but its complexity is frequently criticized. Here is when it genuinely helps and when you should skip it entirely.
Mahmudul Haque Qudrati
CEO & ML Engineer
LlamaIndex is purpose-built for RAG and document Q&A. Here is how its core components work and when to choose it over LangChain.
Mahmudul Haque Qudrati
CEO & ML Engineer
Agents without memory repeat themselves, forget context, and fail on multi-session tasks. Here is how short-term, long-term, and episodic memory work and how to implement each.
Mahmudul Haque Qudrati
CEO & ML Engineer
Tool use is how LLMs take actions in the world. These design patterns make the difference between an agent that works reliably and one that hallucinates parameters and loops forever.
Mahmudul Haque Qudrati
CEO & ML Engineer
Three tools claim to be AI software engineers. Here is an honest comparison of what each actually does well, what the benchmark numbers mean, and when to reach for each one.
Mahmudul Haque Qudrati
CEO & ML Engineer
AutoGen lets you build systems where multiple AI agents collaborate, execute code, and involve humans in the loop. Here is how it works, when to use it, and the real tradeoffs you'll face in production.
Mahmudul Haque Qudrati
CEO & ML Engineer
Task completion rate alone misses most of what matters in agent evaluation. Here is how to measure trajectory quality, cost efficiency, error recovery, and build your own eval suite.
Mahmudul Haque Qudrati
CEO & ML Engineer
Deploying agents to production reveals failure modes that benchmarks never show. Here is what actually breaks and the patterns that keep agents stable under real conditions.
Mahmudul Haque Qudrati
CEO & ML Engineer
Computer use agents can click, type, and navigate a real desktop. Here is what the technology can actually do, where it still fails, and when it beats a proper API integration.
Mahmudul Haque Qudrati
CEO & ML Engineer
Browser agents let LLMs control a real web browser to navigate, click, fill forms, and extract data. Here is how they work, when they are worth the cost, and when they are not.
Mahmudul Haque Qudrati
CEO & ML Engineer
Basic RAG retrieves the wrong chunks and loses context across chunk boundaries. Advanced techniques including hybrid search, HyDE, re-ranking, and agentic retrieval fix these problems systematically.
Mahmudul Haque Qudrati
CEO & ML Engineer