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7 articles
Learn how fine-tuning tool-calling language models helps AI systems use specific tools to perform real-world tasks more effectively.
Explore the advanced AI concepts behind Needle 2, a 45-million-parameter model that runs efficiently on minimal hardware. Learn how tool calling, quantization, and edge deployment are revolutionizing AI accessibility.
Google quietly updates its open-source Gemma 4 AI model with performance enhancements and bug fixes for tool calling and truncated responses.
Learn what GPT-5.6 is, how its new programmatic tool calling feature works, and why it matters for AI development and everyday users.
Developers can now build a nanobot-style AI agent in Google Colab with full control over tools, memory, and model interactions.
A new tutorial from MarkTechPost demonstrates how to build an advanced agentic AI system using the OpenAI API, integrating planning, tool calling, memory, and self-critique capabilities.
Explore how multi-agent AI systems work, using SmolAgents as a practical example. Learn about dynamic orchestration, tool calling, and code execution in AI collaboration.