Large Language Models (LLMs) have taken the world by storm, but moving from a trained model to a production-ready application presents a significant hurdle: inference. Serving these massive models efficiently – handling user requests quickly (low latency) and serving many users simultaneously (high throughput) without breaking the bank – requires specialized tools. Enter LLM inference […]

The world is buzzing about Artificial Intelligence, and Large Language Models (LLMs) are at the heart of this revolution. While giants like OpenAI’s GPT-4 and Google’s Gemini often grab headlines, an equally exciting and arguably more impactful movement is happening in the open-source community. Open-source LLMs are models whose architecture, code, and often training weights […]

Large Language Models (LLMs) like ChatGPT, Gemini, Claude, and others have captivated the world with their ability to understand prompts and generate human-like text, code, and more. We interact with them daily, but what’s actually happening under the hood when you ask an LLM a question and get a response? That process is called inference. […]

In recent years, large language models (LLMs) have revolutionized various applications, from chatbots to code generation and research. However, many of these models require cloud-based APIs, raising concerns about privacy, latency, and cost. Ollama is a powerful tool that allows you to run LLMs locally on your machine without relying on external APIs. It simplifies […]