Browsing Tag
LLM
79 posts
Antigravity and Gemini3 Coding Test
Testing AI coding assistants with real-world tasks: ConnectOnion agent framework migration and frontend development Project: github.com/openonion/connectonion Conclusion I’ve…
Imagine changing your app’s behaviour… without changing the code. (Part 2)
Recently, I posted my “Event-Driven AI” experiment. I presented it as a “Rules Engine,” but I’ve realized that…
How Prompt Engineering Improves Your AI Model’s Performance
In an AI-enabled world, the business community is evolving and beginning to leverage generative AI tools and large…
Managing goose Configurations Across Multiple Projects
As development teams scale their use of goose across multiple projects, a new challenge emerges: how do you…
🚦 Can You Trust an LLM to Manage Traffic on a Monday Morning?
The Automation Dilemma It’s 8:45 AM on a Monday. Rain clouds loom. Horns blare. The office chat is…
From Brilliant Interns to Reliable Experts: Why Enterprises Are Betting Big on RAG Systems
Imagine your Large Language Model (LLM)—like GPT-4—as the most brilliant intern you’ve ever met. It’s lightning-fast, incredibly articulate,…
Building Self-Correcting Database Agents with Meta’s Llama-4-Scout: From Natural Language to SQL Insights
Introduction The ability to query databases using natural language represents one of the most practical applications of large…
No More Forgetful Robots: My Test Drive with Cognee AI’s “AI Memory”
If you’ve played around with AI chatbots like Gemini or ChatGPT, you know they’re super smart, but they…
RAG Chunking Strategies That Actually Work (and Why Most Don’t)
So, you’ve decided to build a RAG (Retrieval-Augmented Generation) system. Congrats! 🎉 You’ve just volunteered for one of…
Q the Future: Enterprise Productivity with AWS Q Business
Let’s be honest. Every enterprise today is looking at AI and thinking 📊 Why Enterprises Are Racing Toward…
