Guides and analysis on developer tools, self-hosted infrastructure, Docker, LLM deployment, vector databases, and MLOps.
Guides and analysis on developer tools, self-hosted infrastructure, Docker, LLM deployment, vector databases, and MLOps.
The rise of online learning and remote assessments has necessitated the development of efficient, accurate, and scalable automated grading solutions. Two innovative approaches to achieving this are using the Learnosity Feedback Aide API and integrating…
The field of education is constantly evolving, with new technologies emerging to revolutionize the way we teach and learn. One such innovation is the use of Lesson Planning Assistants powered by Large Language Model (LLM)…
The rapid advancement of artificial intelligence (AI) has opened up new possibilities for content creation across various domains. Generative AI, specifically using open-source large language models (LLMs) like Llama 3 and Gemma 2, in combination…
As technology advances at an unprecedented pace, the importance of equipping individuals with AI literacy cannot be overstated. In recent years, there has been a growing emphasis on integrating artificial intelligence (AI) into educational curricula…
The Model Context Protocol (MCP) is an open standard developed to standardize how artificial intelligence systems, particularly large language models (LLMs), connect and interact with external data sources, tools, and services[1][2][3][4]. Its primary goal is…
Model Development Environment Overview A model development environment is a workspace—comprising tools, processes, and infrastructure—designed to support the creation, testing, deployment, and maintenance of models, especially in machine learning and software development contexts. It enables…
Machine Learning Operations, or MLOps, is a set of practices that aims to streamline the development, deployment, and maintenance of machine learning models in production environments. As the demand for AI-powered solutions continues to grow,…
Introduction to Qdrant and Ollama Qdrant and Ollama are powerful tools in the realm of artificial intelligence and machine learning, designed to streamline data discovery processes. Qdrant is an open-source vector database that enables efficient…
Federated Learning (FL) is revolutionizing how machine learning models are trained, particularly in scenarios where data privacy and decentralization are paramount. This article provides a practical guide to implementing Federated Learning using the Flower framework…
Securing the deployment of AI models is paramount, especially when sensitive data or proprietary algorithms are involved. This article details a practical approach to securing an AI model serving endpoint using HTTPS for encrypted communication…
