Deploying LLMs at the edge is hard due to size and resource limits. This guide explores how progressive model pruning enables scalable hybrid cloud–fog inference.
Explore vibe coding: an AI-driven, natural language approach to rapid software development, enabling fast prototyping, automation, and creative problem-solving.
Using prompt engineering as a tool to reduce hallucinations with LLMs. This is one of the methodologies I used with LLM to output the desired information.
Explore how C# developers can use Docker Model Runner to run AI models locally, reduce setup time, and integrate OpenAI-compatible APIs into their apps.
Reinforcement learning (RL) enables CRM systems to build adaptive marketing strategies that optimize not only immediate response but also long-term customer value (CLV).
Learn to build an MCP server for Keycloak. The article shows how to create a Model Context Protocol (MCP) server for Keycloak using Quarkus and Goose CLI.
In this article, we discuss ethical AI for Product Owners and Product Managers and how to balance AI’s potential with its product discovery and delivery risks.
Zero-Click CRM is a new stage in the development of AI-CRM systems, where artificial intelligence independently predicts and initiates interaction with the client.
AI coding assistants are in trend now. Check some of the AI code assistant tools available, and what best suits your development and documentation activities.
Containerize your ML model with Docker and deploy it on AWS EKS using Kubernetes in this hands-on guide. Learn to build, serve, and scale your models with ease.
LlamaIndex leverages Apache Tika to extract data from legacy Word .doc files, helping businesses unlock decades-old content for modern AI tasks like search and analysis.
The article empowers developers to deploy and serve ML models without needing to manage servers, clusters, or VMs, reducing time-to-market and cognitive overhead.