Aug 17, 2025 · 3 min read · Meet an AI shopping assistant that sees, thinks, and acts in real time—finding the right product, checking local stock, applying the best price, and explaining why, often in under a heartbeat. Hero stats: <200 ms cached replies 10k+ concurrent use...
Join discussion
Aug 8, 2025 · 10 min read · In the era of MCP servers, tool support (or function calling) by models (LLMs) has become essential. We read a lot about small local models (SLMs) and their inability to correctly detect "function calling" in prompts. And if that's indeed the case, i...
Join discussion
Aug 3, 2025 · 13 min read · In a previous article (Creating AI Agents with Agentic Compose, Bash, Curl, Jq, and Gum), we saw how to use Docker Model Runner with Bash, Jq, Curl, and Gum using a small Bash library I named Osprey. In this article, we'll see how to use Osprey for "...
Join discussion
May 30, 2025 · 4 min read · Artificial intelligence is evolving faster than ever, with tools like ChatGPT, Google Gemini, and Claude making waves. There’s a lot of buzz around function calling and Agentic AI, but what do these terms mean? How are they different? And more import...
Join discussion
May 30, 2025 · 5 min read · In our earlier post here, we understood the basic difference. Function Calling is like handing a tool to the AI. Agentic AI is like assigning a goal to AI (an intelligent assistant). But when you are designing a system or designing a product, is ...
Join discussion
May 18, 2025 · 15 min read · In the previous article, we saw how to do "function calling" using Docker Model Runner and the Docker MCP Toolkit: "Boosting Docker Model Runner with Docker MCP Toolkit". The user message used to build the prompt was extremely simple: Search informat...
Join discussion
Apr 28, 2025 · 12 min read · Today, we will learn how to use "function calling" with LLMs. First, it's important to understand that an LLM is not at all capable of executing code or a command. However, some models support "tools". This capability gives the model, which has been ...
Join discussion
Mar 14, 2025 · 5 min read · Integrating Large Language Models (LLMs) with external systems has transformed how businesses interact with technology. These models enable natural language inputs to control software, streamlining workflows and making operations more intuitive. Howe...
Join discussion
Feb 27, 2025 · 8 min read · As developers, we constantly look for ways to bridge the gap between human language and machine action. The evolution of Large Language Models (LLMs) has opened exciting possibilities for creating interfaces that can understand natural language reque...
Join discussion
Jan 31, 2025 · 8 min read · Key Highlights Yes or No: The Llama 3.2 3B model is a lightweight yet capable language model that supports function calling. What can it do: Function calling allows the model to interact with external tools and APIs, expanding its functionality beyon...
Join discussion