neuralstackms.techBuilding AI Features into Apps: OpenAI, Ollama and Hugging FaceAI Is Now Application Infrastructure AI is no longer an experiment or a bolt-on feature. In modern products, it behaves like core infrastructure similar to authentication, search or payments. The difference:AI systems are probabilistic, model-driven ...Feb 9ยท5 min read
neuralstackms.techGuide to Fine-Tuning Large Language ModelsFrom Basics to Breakthroughs: Technologies, Research, Best Practices, and Applied Challenges 1. Introduction Large Language Models (LLMs) have transitioned from experimental research artifacts to foundational infrastructure for modern software syste...Feb 2ยท6 min read
neuralstackms.techHow to Add AI Features to Your Existing AppAdding AI to an existing application is no longer a research problem; it is a product decision. With mature APIs, open-source models, and cloud tooling, teams can incrementally enhance apps with AI without rewriting their entire stack. This article p...Jan 30ยท5 min read
neuralstackms.techHow to Transition Into AI/ML as a Full-Stack DeveloperNeuralStack | MS Executive Summary Full-stack developers already possess many of the skills required to work effectively in AI/ML. The transition is less about starting over and more about re-weighting your skill stack: adding mathematical intuition,...Jan 19ยท4 min read
neuralstackms.techFrom Hallucinations to Execution: Building an Autonomous SQL Agent with Qwen 2.5Category: LLM Engineering / Agents / MLOpsAuthor: Manuela Schrittwieser โ NeuralStack | MS The Problem: When Chatbots Can't count General-purpose Large Language Models (LLMs) are excellent conversationalists but often terrible database administrator...Jan 5ยท5 min read