MT Research Labs

Locally Hosted AI Deployment AI Applications – Operate multiple large language models offline to access advanced AI capabilities without internet dependence or subscription platforms. All processing stays on your local network, giving you full control over data privacy and security Retrieval-Augmented Generation Feature – Let AI access your knowledgebase so it can search your documents, PDFs, and images instantly, delivering answers powered by your own data. AI assistants that can answer employee questions using company-specific guides, FAQs, and internal reports. Providing accurate [...]

What is MCP? Model Context Protocol is an open standard that lets apps talk to external tools in a structured, secure way. Think of it as a universal adapter: it allows AI models to access local tools, APIs, databases, search engines, or custom scripts through a consistent protocol. Instead of every app inventing its own plugin format, MCP creates one shared language. Key points: • It runs servers that expose “tools” such as search, file access, or custom functions.• LLMs [...]

Running a local LLM gives you full control of your data, which is critical for sectors that handle sensitive information. A law firm can review contracts, draft clauses, or summarise case notes without sending confidential documents to external servers. A finance team can analyse reports, prepare statements, or explore forecasting ideas while keeping client records completely offline. Everything stays inside your machine, protected by your own security policies. This setup delivers fast performance, total privacy, and a safer way to [...]

Qwen ComfyUI Explained: Benefits to Building locally hosted Pipelines Our team from MT Research Labs, part of Mind Theory, use Qwen-Image-Edit. This ComfyUI pipeline simultaneously feeds the input image into Qwen2.5-VL (for visual semantic control) and the VAE Encoder (for visual appearance control), achieving capabilities in both semantic and appearance editing. https://www.mindtheory.sg/wp-content/uploads/qwen-multi-angle.mp4 In short, the use case for such a workflow has benefits such as Changing Angle of a Person/Character/Scene, while still maintaining consistency of clothes and facial features Changing [...]

In the realm of Generative AI, "LoRA" typically refers to Latent Optimisation for Reinforcement Learning with Advantage Estimates. LoRA is a novel approach that combines the power of reinforcement learning with latent variable models, aiming to enhance sample efficiency and performance in complex environments. It leverages latent variables to capture underlying structures, allowing the model to learn effectively from limited data. Example of LoRA of Hedge Sculpture LoRA optimizes these latent variables to maximize expected rewards, utilizing advantage estimates to [...]

Generative AI enables architects or product designers to explore a vast array of design alternatives quickly. By inputting parameters and constraints, architects/product designers can use AI to generate diverse design options, pushing the boundaries of traditional architecture and fostering creativity. Integrating generative AI in research promises an exciting future. The fusion of creativity and artificial intelligence opens doors to a new era of experimental research work. Gen-AI offers a promising tool to enhance collaboration among architects and project stakeholders. By generating [...]