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 …
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. …
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 …
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 …
Big Tech Is Burning $655 Billion to Build AI on a Power Grid From the 1950s. Musk Says Put It in Space.
Author(s): Zoom In AI Originally published on Towards AI. Your electric bill is helping bankroll Bezos’s compute buildout. Elon wants to move the whole thing into orbit. Neither plan is proven yet. That is the terrifying part. By Zoom In AI | …
Prompt to Protocol: Architecting Agent-Oriented Infrastructure for Production LLMs
Author(s): Shreya Singhal Originally published on Towards AI. The “Chatbot Era” is dead. Here is how to navigate the microservices moment for AI and choose between LangGraph and AutoGen. If you’ve spent the last few years building AI applications, you’ve probably hit …
Anthropic’s Improved Workflow: When Your Hacks Ship as Features
Author(s): Nick Porter Originally published on Towards AI. Hiya! My name is Nick and I love writing Web apps! I have been writing in various languages both front-end and back-end professionally since ’98. My workflow, needless to say, has evolved considerably over …
The Future of Enterprise AGI: Why “Hybrid Brains” Will Win
Author(s): Shenggang Li Originally published on Towards AI. How companies will mix external frontier models with private in-house brains — without sacrificing control Picture this. Photo by Adrien Converse on UnsplashThe article discusses the future of enterprise-level Artificial General Intelligence (AGI), introducing …
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