Browsing: Workflows

In healthcare and life sciences, AI agents help organizations process clinical data, submit regulatory filings, automate medical coding, and accelerate drug development and commercialization. However, the…

print(“\n” + “=” * 70) print(“🤖 SECTION 8: Multi-Tool Agentic Loop”) print(“=” * 70) print(“Build a complete agent that can use multiple tools across turns.\n”) class…

In this tutorial, we build a complete AgentScope workflow from the ground up and run everything in Colab. We start by wiring OpenAI through AgentScope and…

In the field of vision-language models (VLMs), the ability to bridge the gap between visual perception and logical code execution has traditionally faced a performance trade-off.…

Image by Editor   # Introduction  Chances are, you already have the feeling that the new, agent-first artificial intelligence era is here, with developers resorting to new…

Hugging Face has officially released TRL (Transformer Reinforcement Learning) v1.0, marking a pivotal transition for the library from a research-oriented repository to a stable, production-ready framework.…

In this tutorial, we build and explore the CAI Cybersecurity AI Framework step by step in Colab using an OpenAI-compatible model. We begin by setting up…

Claude Skills is the latest AI tool that targets AI automation at some level. Anthropic was smart enough to identify one key problem developers face every…

import asyncio import json import io import contextlib import re from dataclasses import dataclass from typing import Callable, Awaitable import nest_asyncio nest_asyncio.apply() TOOL_DEFINITIONS = [ {…

In the current landscape of Retrieval-Augmented Generation (RAG), the primary bottleneck for developers is no longer the large language model (LLM) itself, but the data ingestion…