Ollama vs Docker Model Runner: Key Differences Explained In recent months, the LLM deployment landscape has been evolving rapidly, with users experiencing frustration with some existing solutions. A Reddit thread titled “How to move on from Ollama?” highlights growing discontent with Ollama’s performance and reliability issues. As Docker enters this space with Model Runner, it’s […]

Meta’s release of the Llama 4 family represents a significant architectural leap forward in the domain of Large Language Models (LLMs). This technical deep dive explores the sophisticated architectural components, training methodologies, and performance optimizations that underpin the Llama 4 models, with particular focus on the mixture-of-experts (MoE) architecture and multimodal capabilities that define this […]

Introduction: The Ever-Changing Landscape of APIs If you’ve worked as a developer, you know the pain of API changes. One day, your app runs flawlessly; the next, an API update forces months of rework. This reality extends to AI-driven applications, and OpenAI’s latest announcements are no exception. The company is sunsetting its Assistants API in […]

Artificial Intelligence has seen tremendous growth in recent years, with advanced models like OpenAI’s ChatGPT leading the charge in natural language processing. However, a new contender, DeepSeek, has emerged, and it’s making waves by adopting a distinct approach to AI model development. While ChatGPT has been a benchmark for generative AI, DeepSeek is challenging the […]

Over the past year, Microsoft developments with AutoGen have underscored the remarkable capabilities of agentic AI and multi-agent systems. Microsoft is thrilled to unveil AutoGen v0.4 , a major update shaped by invaluable feedback from our vibrant community of users and developers. This release marks a comprehensive overhaul of the AutoGen library, designed to elevate […]

Imagine having a seamless, real-time conversation with an AI agent in your web application—no database setup, no additional infrastructure complexities. This blog introduces a project that leverages OpenAI’s Realtime API to build a conversational agent with JavaScript (frontend) and Python FastAPI (backend). It provides a plug-and-play solution for organizations to integrate into their existing tech […]

As large language models (LLMs) become increasingly integrated into applications, ensuring their outputs are relevant, factually accurate, and coherent is paramount. In this blog post, I’ll delve into methods for assessing these aspects of LLM outputs, discuss tools and frameworks I’ve used to evaluate performance and ensure observability, and provide code demonstrations where applicable. We’ll […]

Natural Language Processing (NLP) is an essential tool in today’s world of artificial intelligence and machine learning. The ability to understand and generate human-like language has become increasingly important in a wide range of applications, from chatbots and virtual assistants to automated content creation and translation. ChatGPT is a generative language model developed by OpenAI, […]