AI

Open-Source Toolkit for Building AI Agents Want to build your own AI Agent stack from scratch? Here are the top open-source tools categorized by function 👇 1. Document Processing Extract, read, and interpret documents like PDFs and images. Tools: Docling, CogVLM, Qwen 2.5-VL, DocOwl2, Phi-4, PaddleOCR, Molmo 2. Browser Automation Automate browser actions like clicking, scraping, form-filling. Tools: Playwright, Puppeteer, Browser Use, Firecrawl, Stagehand 3. Evaluation & Monitoring Track...

The Agentic AI shift demands a very different stack — not just in terms of tools, but in mindset, workflows, and design principles. Here’s what you really need to know: 𝟭. 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗧𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝗦𝘁𝗮𝗿𝘁𝘀 𝘄𝗶𝘁𝗵 𝗦𝘆𝘀𝘁𝗲𝗺 𝗗𝗲𝘀𝗶𝗴𝗻 Most people confuse AI agents with smart LLM wrappers. But true agents have: • Goals — not just tasks • Context management — not just one-off memory • Autonomy & adaptability — not just API chains • Multi-agent coordination — not just sequential steps The rise of protocols like...

𝗪𝗮𝗻𝘁 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱 𝗮 𝗰𝗮𝗿𝗲𝗲𝗿 𝗶𝗻 𝗔𝗜? 𝗦𝘁𝗮𝗿𝘁 𝗵𝗲𝗿𝗲. Understanding AI starts with mastering the 𝘧𝘶𝘯𝘥𝘢𝘮𝘦𝘯𝘵𝘢𝘭𝘴—the core algorithms that power everything from chatbots to self-driving cars. After analyzing hundreds of AI use cases and industry trends, I’ve put together this visual: “𝟮𝟭 𝗔𝗜 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗬𝗼𝘂 𝗦𝗵𝗼𝘂𝗹𝗱 𝗞𝗻𝗼𝘄” Whether you're a student, AI enthusiast, or working professional looking to transition into AI—this gives you a 𝘤𝘭𝘦𝘢𝘳 𝘳𝘰𝘢𝘥𝘮𝘢𝘱 of what to focus on. From classic algorithms like: • Linear...

What makes Agentic AI truly work behind the scenes? Here's a visual guide that decodes the full Agentic AI Architecture, layer by layer. 1. Infrastructure Layer This is the foundation of the entire stack. It includes powerful foundation models like GPT-4o and Claude 3, scalable computing power through cloud, edge, and AI chips, and seamless communication infrastructure (wired/wireless). It also supports a continuous flow of structured and unstructured data everything from public knowledge to...

𝐀𝐂𝐏 𝐯𝐬 𝐌𝐂𝐏 𝐯𝐬 𝐀𝟐𝐀 𝐯𝐬 𝐀𝐍𝐏 - 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐭𝐡𝐞 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐜𝐞? When it comes to AI Agents, protocols decide how they talk, share context, and scale. 𝐇𝐞𝐫𝐞 𝐢𝐬 𝐚 𝐬𝐢𝐦𝐩𝐥𝐞 𝐛𝐫𝐞𝐚𝐤𝐝𝐨𝐰𝐧: 🔹 ACP (IBM): Routes and swaps messages between helpers. Useful for routing, control, and small setups. 🔹 MCP (Anthropic): Shares background context between agents. Great for workflow orchestration and context-sharing. 🔹 A2A (Google): Direct agent-to-agent conversations. Best for simple one-to-one interactions. 🔹 ANP (Cisco): The...

Dirk Zee on LinkedIn: #ai #explainableai #explained | 106 comments

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Machine Learning Explained in a Nutshell Explore the fundamental concepts of Machine Learning Here’s What’s Covered : 1. Machine Learning Job… | 19 comments on LinkedIn

Perplexity's next AI Agent product is an Agentic Search Browser But what is "Agentic Search"? let's understand together... Recently, Perplexity's founder Arvid Srinivas shared that they will release an agentic search browser named "Comet". Now the details about Comet are not available but the term "Agentic Search" is something we already know. If you take a closer look, you see it is somewhat similar to Agentic RAG. To fact-check my theory, I referred to a research blog written by a Global...

Every single use case doesn’t need to be solved with GenAI, and you have multiple AI solutions to choose from. This guide will help you select the right AI model. Here’s what’s inside: 1.🔸General Chat & Productivity ChatGPT 4o, Claude 3 Haiku, Grok, Pi AI - great for everyday conversations 2.🔸Education & Tutoring DeepSeek-V2, Claude Haiku, ChatGPT Free/Plus - solid for explainers, logic, and learning 3.🔸Advanced Reasoning & Problem Solving Claude 3 Opus, GPT-4 Turbo, Gemini 1.5 Pro - top for...

How AI Is Redefining Data and Language in Finance Here’s a quick look at the impact of AI: 🟦 Automation & Data Processing 🟦 Data Analysis 🟦 Language Understanding 🟦 Finance Use Cases Details in the infographic below!