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.
The post The Next AI Bottleneck Isn’t the Model: It’s the Inference System appeared first on Towards Data Science.
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
The post I Let CodeSpeak Take Over My Repository appeared first on Towards Data Science.
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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Your First WebAssembly Program and Web App (Written, Tested, and Deployed Entirely in the Web Browser)
Compiling and running C code with Emscripten and GitHub Codespaces — no local installation required.
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Learning Word Vectors for Sentiment Analysis: A Python Reproduction
How to build sentiment-aware word representations from IMDb reviews using semantic learning, star ratings, and linear SVM classification
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Build an AI-Powered Learning Management System That Actually Trains People
Learn how to build an AI-powered Learning Management System from scratch using Ollama, FastAPI, and React. A step-by-step guide for beginner and intermediate developers.
Implementing Prompt Compression to Reduce Agentic Loop Costs
Agentic loops in production can be synonymous with high costs, especially when it comes to both LLM and external application usage via APIs, where billing is often closely related to token usage.
A step-by-step guide to understanding distributed data, lazy logic, and your first DataFrame.
The post PySpark for Beginners: Mastering the Basics appeared first on Towards Data Science.
A practitioner's argument that meeting summarizers fail in the same way regressions fail when you skip the part where you ask what the data can support.
The post LLM Summarizers Skip the Identification Step appeared first on Towards Data Science.
From tokenisation to evaluation : how modern language models actually work in practice
The post The Must-Know Topics for an LLM Engineer appeared first on Towards Data Science.