Tagged articles

tool calling

104 articles · Page 2 of 2

Mar 19, 2025 · Artificial Intelligence

Inside Baidu’s New Wenxin 4.5 & X1: Multimodal Breakthroughs and Tool‑Enabled AI

Baidu officially launched the Wenxin 4.5 and X1 large language models, showcasing native multimodal foundations, advanced attention masks, heterogeneous expert extensions, and tool‑calling capabilities, while offering low‑cost API access on the Qianfan platform and outlining the underlying technical innovations that drive their performance gains.

AI platformBaiduWenxin

0 likes · 8 min read

Inside Baidu’s New Wenxin 4.5 & X1: Multimodal Breakthroughs and Tool‑Enabled AI

Alibaba Cloud Native

Feb 12, 2025 · Artificial Intelligence

Boost AI Agents with Spring AI Alibaba: 20+ RAG Sources & Tool‑Calling Integrations

This article explains how Spring AI Alibaba enables AI agents to leverage Retrieval‑Augmented Generation and Tool Calling by providing over twenty ready‑made RAG data source connectors and more than twenty function‑calling interfaces, along with practical code examples for integrating document readers and weather services.

Document ReaderFunction CallingRAG

0 likes · 12 min read

Boost AI Agents with Spring AI Alibaba: 20+ RAG Sources & Tool‑Calling Integrations

DataFunSummit

Jul 27, 2024 · Artificial Intelligence

Introducing ModelScope-Agent: An Open‑Source Multi‑Modal Multi‑Agent System

This article presents ModelScope‑Agent, an open‑source multi‑modal multi‑agent framework built on the ModelScope community, explains its underlying agent concepts, outlines its architecture and key features, showcases several real‑world applications such as ModelScope GPT, Story‑Agent and Facechain‑Agent, and includes a detailed Q&A on future directions and challenges.

Artificial IntelligenceModelScope-Agenttool calling

0 likes · 15 min read

Introducing ModelScope-Agent: An Open‑Source Multi‑Modal Multi‑Agent System

Baobao Algorithm Notes

Jun 5, 2024 · Artificial Intelligence

Is GLM‑4‑9B the New Powerhouse? A Deep Dive into Its Performance and Usage

This article reviews the open‑source 9‑billion‑parameter GLM‑4‑9B model, covering installation, quick‑start inference code, quirky Chinese riddles that highlight its strengths over GPT‑4, extensive benchmark tables for dialogue, multilingual, tool‑calling and multimodal tasks, and its broader impact on the Chinese AI ecosystem.

AIGLM-4-9BModel Evaluation

0 likes · 14 min read

Is GLM‑4‑9B the New Powerhouse? A Deep Dive into Its Performance and Usage