Deploying a Multistage Multimodal Recommender System on Amazon Elastic Kubernetes Service
A practical walkthrough of building and deploying a multistage, multimodal recommender system on Amazon EKS, covering data pipelines, model training, Bloom filters, feature caching, and real-time ranking.
The post Deploying a Multistage Multimodal Recommender System on Amazon Elastic Kubernetes Serv...
Grounding LLMs with Fresh Web Data to Reduce Hallucinations
Why production LLM systems need live web search to overcome knowledge cutoffs and stale training data
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40 Advanced SQL Window Functions Every Data Scientist Must Know(with examples)
In the world of data science, SQL still remains the powerful tool for defining the data, data manipulation, data aggregation and data analysis. While basic SQL commands are very fundamental, and everyone knows about it. If you want to be the unique in the crowd then you should know advanced features...
Six Choices Every AI Engineer Has to Make (and Nobody Teaches)
The production trade-offs that only appear once your model is live.
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Why MCP servers keep losing to CLIs once the agent gets a terminal
The post One Flexible Tool Beats a Hundred Dedicated Ones appeared first on Towards Data Science.
I have been running local models as part of my daily workflow for some time, and what surprised me most is how often local turned out to be the better choice, not a compromise.
LLM Evals Are Based on Vibes — I Built the Missing Layer That Decides What Ships
Most LLM evaluation systems rely on vague scoring and human judgment disguised as metrics. I built a lightweight evaluation layer in pure Python that turns LLM outputs into reproducible decisions by separating attribution, specificity, and relevance—so hallucinations are caught before they reach pro...
Recursive Language Models: An All-in-One Deep Dive
Exactly how does it differ from ReAct, CodeAct, Self-Loops, and Subagents?
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The Next AI Bottleneck Isn’t the Model: It’s the Inference System
Enterprise AI systems are entering a phase where inference design matters as much as model capability itself.
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The Counterintuitive Networking Decisions Behind OpenAI’s 131,000-GPU Training Fabric
A critical analysis of MRC's three counterintuitive design decisions, the networking mathematics that make them work, and what they mean for the rest of the AI infrastructure community.
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What happened when I migrated a 10K+ line project into an AI-native workflow
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OpenAI’s New API Voice Models Will Change the Way You Use AI
There are some obvious signs that can instantly differentiate between regular and advanced AI users. One, for instance, is the use of voice AI for daily tasks. While majority users still toil away on their keyboard for the perfect prompt, a person proficient in the use of AI now simply speaks to it....
Building an Evaluation Harness for Production AI Agents: A 12-Metric Framework From 100+ Deployments
A 12-metric evaluation framework for production AI agents — covering retrieval, generation, agent behavior, and production health. Drawn from 100+ enterprise deployments.
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A 4.5-hour journey from idea to working fitness app with LLM agents
The post From Vibe Coding to Spec-Driven Development appeared first on Towards Data Science.
Proxy-Pointer Framework for Structure-Aware Enterprise Document Intelligence
Hierarchical understanding and comparison of contracts, research papers, and more
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