Browsing: calling

Nicolas Cage, one of the most eccentric movie stars in Hollywood, heads to television to play a different version of Spider-Man in Spider-Noir. All eight episodes…

  # Introduction  In a recent article on Machine Learning Mastery, we built a tool-calling agent that reached outward, that is pulling weather, news, currency rates, and…

Programmatic tool calling (PTC) is a paradigm shift in how large language models (LLMs) interact with external tools. In a traditional tool-calling workflow, each tool invocation…

TOOLS = { “calc”: lambda expression: _safe_calc(expression), “kb_search”: lambda query, k=3: _kb_search(query, int(k)), “extract_json”: lambda text: _extract_json(text), “write_file”: lambda path, content: _write_file(path, content), } TOOL_SCHEMAS =…

  # Introduction  Agentic AI systems depend on a model’s ability to reliably call tools, selecting the right function, formatting arguments correctly, and integrating results into multi-step…

In this tutorial, we build a Groq-powered agentic research workflow that runs directly using Groq’s free OpenAI-compatible inference endpoint. We configure LangChain’s ChatOpenAI interface to work…

class QwenChat: def __init__(self, model, processor, system=None, tools=None): self.model, self.processor = model, processor self.tokenizer = processor.tokenizer self.history: list[dict] = [] if system: self.history.append({“role”: “system”, “content”: system})…

Imagine asking your AI model, “What’s the weather in Tokyo right now?” and instead of hallucinating an answer, it calls your actual Python function, fetches live…

In this tutorial, we build an advanced, production-ready agentic system using SmolAgents and demonstrate how modern, lightweight AI agents can reason, execute code, dynamically manage tools,…

A hacker has compromised a backend system for Doublespeed, an a16z-funded startup that uses a phone farm to flood social media with AI-generated TikTok accounts, and…