I Built a Job-Matching Algorithm. Now I Understand Why LinkedIn Struggles.
Author(s): Tom Ron Originally published on Towards AI. Why job recommendations are so bad, and why fixing them requires psychology, not just better embeddings. I recently built a job-candidate matching system from scratch. Not a toy. A production system that takes real …
The Complete Guide to RAG: Why Retrieval-Augmented Generation Is the Backbone of Enterprise AI in 2026
Author(s): Faisal haque Originally published on Towards AI. How a simple architectural pattern became the $11 billion standard for making AI actually useful — and how you can master it Eighteen months ago, a VP at a Fortune 500 company asked me …
3 Game-Changing Tools for Modern Data Science
Author(s): Mohamed Abdelsalam Originally published on Towards AI. Introduction The rise of LLMs facilitates “vibe coding,” making it fast to generate initial Python scripts. However, this ease creates a false sense of progress. Building professional-grade data products requires more than quick scripts; …
The Rise of Synthetic Labor
Author(s): Sam Okoye Originally published on Towards AI. Abstract Advanced economies are entering a sustained structural labor deficit driven by demographic decline, aging populations, and persistent sector-specific shortages. Traditional automation, including robotic process automation and narrow task-based systems, has delivered productivity improvements …
Ollama vs vLLM vs Unsloth: A Detailed Comparison from an AI Engineer’s Perspective
Author(s): Neel Shah Originally published on Towards AI. As an AI engineer, choosing the right tool for deploying or fine-tuning large language models (LLMs) is crucial for balancing performance, ease of use, and hardware constraints. Among the many options, Ollama, vLLM, and …
Agent-to-Agent (A2A) Protocol: The Future of Multi-Agent Systems
Author(s): Alok Ranjan Singh Originally published on Towards AI. Understanding A2A, agent communication protocols, and the future of distributed AI systems Most teams aren’t struggling to build AI agents anymore. They’re struggling to live with the ones they already built. The same …
Building an AI Agent with Long-Term Memory: ChromaDB + Ollama + TypeScript
Author(s): Jageen Shukla Originally published on Towards AI. How I Built a Customer Support Agent That Actually Remembers What You Said I built a prototype AI customer support agent with semantic long-term memory using ChromaDB (vector database), Ollama (local LLM), and TypeScript. …
You Can’t Improve AI Agents If You Don’t Measure Them
Author(s): Gowtham Boyina Originally published on Towards AI. This agent-eval Framework Runs Controlled Experiments on Your Codebase I’ve watched teams add MCP servers to their projects, rewrite documentation for AI agents, or switch from Sonnet to Opus — and then have no …
GLM-5 Runs a Vending Machine Business for a Year and Finishes With $4,432
Author(s): Gowtham Boyina Originally published on Towards AI. That’s the Benchmark for Agentic Engineering I’ve tested dozens of coding assistants that can write functions, fix bugs, and refactor code. Most fail spectacularly when you ask them to complete multi-day projects — they …
Why Generative AI Matters for Global Business Services
Author(s): The Hackett Group Originally published on Towards AI. Generative AI in GBS Global Business Services (GBS) organizations are under increasing pressure to deliver more than cost efficiency. As enterprises face growing complexity, rising expectations, and rapid digital change, GBS is being …
Agentic Engineering Roadmap
Author(s): Aqil Khan Originally published on Towards AI. Skills, Tools & Resources In 2025, developers experimented with AI agents. In 2026, organizations are hiring agentic engineers to build them at scale. What started as “vibe coding” — typing natural-language prompts and watching …
How to Leverage NER and Advanced NLP Techniques for Life Sciences
Author(s): CapeStart Originally published on Towards AI. Overview The field of Life Sciences is grappling with an explosion of data. This crucial information, such as spanning research papers, clinical trial reports, patient records, and even genomic sequences, exists as unstructured text. Transforming …
Agent2Agent (A2A) Protocol: A New Era of AI Agent Collaboration
Author(s): Shubham Choudhary Originally published on Towards AI. Agent2Agent (A2A) Protocol: A New Era of AI Agent Collaboration Google Cloud has introduced a new open protocol called Agent2Agent (A2A) designed to help AI agents talk to each other, collaborate, and complete complex …
The Efficiency Wall: Why the Next 1,000x Leap Isn’t More GPUs
Author(s): Kapardhi kannekanti Originally published on Towards AI. The fundamental flaw in modern AI architecture, and the biological “hack” to solve it. We are currently witnessing a massive misallocation of capital in Silicon Valley and beyond. We are burning billions of dollars …
Super Bowl LX: The Night LLMs Went Fully Mainstream (And What It Actually Teaches Us About AI)
Author(s): Nikhil Originally published on Towards AI. Super Bowl LX is the first time foundation models and AI assistants were simultaneously the product, the message, and part of the underlying infrastructure of the event, and that gives us an unusually clear signal …
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