Workflows
A Code Implementation for Designing Intelligent Multi-Agent Workflows with the BeeAI Framework
BeeAI FrameworkIn this tutorial, we explore the power and flexibility of the beeai-framework by building a fully functional multi-agent system from the ground up. We walk through the essential components, custom agents, tools, memory management, and event monitoring, to show how BeeAI simplifies the development of intelligent, cooperative agents. Along the way, we demonstrate how…
Building Advanced Multi-Agent AI Workflows by Leveraging AutoGen and Semantic Kernel
In this tutorial, we walk you through the seamless integration of AutoGen and Semantic Kernel with Google’s Gemini Flash model. We begin by setting up our GeminiWrapper and SemanticKernelGeminiPlugin classes to bridge the generative power of Gemini with AutoGen’s multi-agent orchestration. From there, we configure specialist agents, ranging from code reviewers to creative analysts, demonstrating…
Adopting agentic AI? Build AI fluency, redesign workflows, don’t neglect supervision
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The work ecosystem as we know it is about to change, with agents — the “next frontier of generative AI” — set to augment human decision-making for good. At the beginning of the year, the BCG…
A Coding Guide to Asynchronous Web Data Extraction Using Crawl4AI: An Open-Source Web Crawling and Scraping Toolkit Designed for LLM Workflows
In this tutorial, we demonstrate how to harness Crawl4AI, a modern, Python‑based web crawling toolkit, to extract structured data from web pages directly within Google Colab. Leveraging the power of asyncio for asynchronous I/O, httpx for HTTP requests, and Crawl4AI’s built‑in AsyncHTTPCrawlerStrategy, we bypass the overhead of headless browsers while still parsing complex HTML via…
The quiet data breach hiding in AI workflows – Help Net Security
As AI becomes embedded in daily business workflows, the risk of data exposure increases. Prompt leaks are not rare exceptions. They are a natural outcome of how employees use large language models. CISOs cannot treat this as a secondary concern. To reduce risk, security leaders should focus on policy, visibility, and culture. Set clear rules…
ZEISS Demonstrates the Power of Scalable Workflows with Ampere Altra and SpinKube — SitePoint
Snapshot Challenge The cost of maintaining a system capable of processing tens of thousands of near-simultaneous requests, but which spends greater than 90 percent of its time in an idle state, cannot be justified. Containerization promised the ability to scale workloads on demand, which includes scaling down when demand is low. Maintaining many pods among…
How Is Kubernetes Revolutionizing Scalable AI Workflows in LLMOps?
Introduction The advent of large language models (LLMs) has transformed artificial intelligence, enabling organizations to innovate and solve complex problems at an unprecedented scale. From powering advanced chatbots to enhancing natural language understanding, LLMs have redefined what AI can achieve. However, managing the lifecycle of LLMs—from data pre-processing and training to deployment and monitoring—presents unique…