Surviving the Tectonic Shifts in Large Language Model Scaling: A Field Guide for Practitioners
Author(s): Hayanan Originally published on Towards AI. In January 2025, DeepSeek released a technical report that caused OpenAI, Anthropic, and Google to convene emergency meetings. The report described a frontier language model 671 billion parameters, performance matching GPT-4 on virtually every benchmark …
Meet Learning Agent: Personalized AI Upskilling Inside Microsoft 365 Copilot
Author(s): Pradeep Kumar Muthukamatchi Originally published on Towards AI. Meet Learning Agent: Personalized AI Upskilling Inside Microsoft 365 Copilot Meet Learning Agent in Microsoft 365 Copilot Recently Microsoft announced the general availability of Learning Agent in Microsoft 365 Copilot, to help everyone …
OpenSearch Optimizations for Production RAG
Author(s): Srini Dwarakanathan Originally published on Towards AI. OpenSearch Optimizations for Production RAG This is Part 1 of a series on optimizing OpenSearch for production RAG. Part 1 covers semantic retrieval, meaning vector search with Approximate and exact Nearest Neighbor methods. Part …
Toward a Four-Layer Architecture for Self-Hosted Enterprise AI Harnesses
Author(s): Vasilii Chetvertukhin Originally published on Towards AI. Toward a Four-Layer Architecture for Self-Hosted Enterprise AI Harnesses This article is not about another agent runtime or orchestration framework. Anthropic describes the runtime around an agent. Open-source projects implement individual capabilities such as …
How to Build a Production-Grade RAG Pipeline
Author(s): Amol Mavuduru Originally published on Towards AI. A guide to building and deploying resilient RAG applications. One of the most in-demand skills in AI engineering is retrieval-augmented generation (RAG). RAG is a technique that improves the responses of LLMs by retrieving …
How I Fine-Tuned an 8B AI Model to Reason on a Free GPU
Author(s): Abhay Aditya Originally published on Towards AI. Here is the step-by-step story of how I customized Meta’s Llama 3 8B using Unsloth, LoRA, and a “Silent Coder” approach, all within the RAM limits of a free Google Colab instance. I’ll be …
How to Build Fault-Tolerant Enterprise AI Agents
Author(s): Shahidullah Kawsar Originally published on Towards AI. AI Engineer Interview Preparation Click here for the full AI Engineer Prep list. Source: This image is generated by GeminiThis article presents a set of fault-tolerance focused MCQs for enterprise AI agent systems, emphasizing …
White House AI Standards: 30-Day Reviews, 3 Labs, and a Classified Pass Bar
Author(s): Kashif Mehmood Originally published on Towards AI. White House AI Standards: 30-Day Reviews, 3 Labs, and a Classified Pass Bar On June 12, the US Commerce Department ordered Anthropic to cut off access to Claude Fable 5 and Claude Mythos 5 …
I Built a Custom Postgres MCP Server in Python (And Deleted 2,000 Lines of Code)
Author(s): Pavan Dhake Originally published on Towards AI. Stop writing custom API endpoints just to let LLMs talk to your data. Here is the advanced guide to building a production-grade, secure Model Context Protocol server in Python. If you are building advanced …
We Doubled Our AI Tooling Budget. Our Release Rate Dropped Anyway
Author(s): The AIExplorer Originally published on Towards AI. Photo by Danial Igdery on Unsplash A founder I was talking to last quarter pulled up his engineering dashboard on a video call, practically beaming. Commit volume up. Pull requests up. Everyone on Copilot, …
A production RAG pipeline for real-world PDFs: structural retrieval, typed answers, cited lines
Author(s): Angela Shi Originally published on Towards AI. The four bricks, run end-to-end on a real 45-page car-insurance policy. One surprising coverage question, answered with a number and the exact line it came from Use this link if you are not a …
Why WebSockets don’t scale easily — and how AWS changes the game
Author(s): Leapfrog Technology Originally published on Towards AI. WebSockets are deceptively simple. Every connected user maintains a persistent connection to the server, and each connection continuously occupies server resources such as memory, CPU cycles, network buffers, and application state. Unlike traditional HTTP …
How to Use OpenCode for Free in 2026
Author(s): Kamrun Nahar Originally published on Towards AI. OpenCode for Cheapskates. A Love Letter. The $2,400 Coding Robot and the $0 One That Does the Same Job Every free model, hidden setting, and quota trick for OpenCode, collected from the corners of …
Building a Critic-Agent Loop: Scores, Refinement, and Guardrails
Author(s): Nitingummidela Originally published on Towards AI. Building a Critic-Agent Loop: Scores, Refinement, and Guardrails A friendlier take on the guarded critic-agent loop — Worker Bot drafts, Critic Bot scores it, and only passing work ships; anything that fails three times gets …
What Is Retrieval-Augmented Generation (RAG)? A Complete Guide for Businesses
Author(s): Anthony Usoro Originally published on Towards AI. RAG Image If you’ve spent any time with ChatGPT, Claude, or any large language model, you’ve probably run into this moment: you ask a specific question about your business, your industry, or a recent …
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