Category: Artificial Intelligence
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GPT-5.1’s New ‘Apply Patch’ Tool is a Game-Changer for AI Coding Agents
OpenAI’s GPT-5.1 release may look like a minor iterative upgrade, but for developers, it represents a massive leap forward. The real story isn’t just about a smarter model; it’s about the tools shipped alongside it, specifically a new capability that dramatically simplifies the creation of sophisticated AI coding agents.
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TOON Just Replaced JSON… And It’s 5× Faster! I’m Shocked!
The hype around a new data format replacing JSON is real, but the context is crucial: TOON (Token-Oriented Object Notation) isn’t a universal JSON replacement, but it is rapidly becoming the superior standard for data exchange with Large Language Models (LLMs).
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Gemini’s File Search API: Grounded AI Just Got Easy (and Cheap!)
The Gemini File Search API is a significant leap forward in making advanced AI accessible. It empowers developers to create more accurate, reliable, and intelligent applications faster and more affordably than ever before. If you’re looking to leverage the power of LLMs with your private data, this tool is an absolute must-explore.
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Claude Haiku 4.5 – The Fast, Cheap, and Powerful AI Model Changing the Game
Claude Haiku 4.5 is available via the Claude API, Amazon Bedrock, Google Cloud’s Vertex AI, and is being integrated into products like GitHub Copilot. Its arrival marks a significant step forward in making powerful, fast, and affordable AI a reality for a broader range of applications.
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LangChain Explained in 10 Minutes: Components, Agents, and Building Your First AI Chatbot
Building a sophisticated AI application like a company chatbot requires more than just calling an LLM’s API. You need memory, knowledge retrieval from internal documents, and the flexibility to switch models. LangChain is an essential abstraction layer that provides a coherent, production-ready framework to manage this complexity with minimal code.
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Model Context Protocol (MCP) Explained for Beginners: AI Flight Booking Demo!
The Model Context Protocol (MCP), an open standard developed by Anthropic. MCP acts as the standardized “magic glue” that seamlessly connects AI with the outside world.
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Postman + TanStack Start: The Ultimate No-Code Solution for Model Context Protocol (MCP)
This entire process demonstrates how Postman allows you to prototype a full-fledged MCP AI integration experience with minimal or no code. It secures a path for adopting the benefits of AI tooling without requiring deep changes to your underlying API infrastructure.
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The Ultimate AI Toolkit: I Tested 325 Tools, These Are The 20 Best
With thousands of AI tools flooding the market, figuring out which are worth your time and money can be a full-time job. After extensively testing hundreds of platforms, we’ve distilled the list to a few truly revolutionary tools that can save dozens of hours a week, boost personal productivity, and transform entire business operations.
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Mastering GenAI Leadership: An 8-Hour Google Course Condensed into 20 Minutes
Google’s 8-hour Generative AI (GenAI) Leadership Course is designed to equip professionals with the foundational concepts, strategic frameworks, and practical application techniques needed to integrate GenAI into an organization. This condensed guide summarizes the course’s five modules, covering everything from core definitions to agent deployment, and provides a strategy for passing the official Google certification…
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How to Create Cinematic AI Videos
The bottom line is that AI video generation tools are powerful, but they are just tools. Mastery requires learning the strengths of each and building a custom workflow to overcome the current technical limitations, with consistency being the most crucial element to solve
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The Internet Is Dying, Warns Telegram CEO, as Intel Announces a Major Comeback Plan: A Tech Roundup
This week’s tech news delivered a mix of stark warnings about digital freedom and exciting developments in AI and hardware. From the CEO of Telegram raising alarms about government overreach to Intel announcing a new chipset aimed at reclaiming its crown, the tech world is moving at a breakneck pace. Here is a summary of…
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900 Seconds to Get Smarter: Your Monthly AI Update
In just 15 minutes (900 seconds), the L(AI)te Night Show – August Edition packs in a whirlwind tour of the latest in AI news, trends, and cutting-edge tools. Whether you’re a developer, product manager, or simply AI-curious, this rapid format delivers a curated, high-impact snapshot — perfect for staying up to speed without drowning in…
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Import EVERYTHING Into Your RAG Agent with Docling & LlamaParse
Parsing is the first step in building a powerful RAG system. Without accurate, consistent document ingestion, even the most advanced AI agent will struggle. Tools like LlamaParse and Docling ensure that your RAG agent can handle real-world document workflows — securely, reliably, and at scale.
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How GraphRAG Makes AI Agents Smarter
Traditional RAG was a great start, but GraphRAG takes AI agents to the next level. With structured graphs, hybrid search, and n8n integration, your AI workflows become smarter, more context-aware, and better equipped to solve complex problems.
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n8n Tutorial for Beginners – Build Your First Free AI Agent
Artificial Intelligence (AI) agents are no longer reserved for developers with advanced coding skills. With n8n, a powerful workflow automation tool, you can build your own AI agent without writing a single line of code. In Kevin Stratvert’s tutorial, we explore how to set up a free AI agent step by step using the Gemini…
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Build Your First AI Agent in 20 Minutes (No Coding Required)
Want to create an AI agent—something that can reason, act, and automate tasks—without writing a single line of code? This video tutorial walks you through exactly that. In just ~20 minutes, you’ll learn how to set up a working AI agent, connect tools, give it memory, and have it perform actions automatically.
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How to Use Nano Banana AI for FREE (+10 Mind-Blowing Use Cases)
Nano Banana (Gemini 2.5 Flash Image) is a fun, powerful tool that democratizes high-quality image editing and creative visual content. If you’re curious, it’s definitely worth trying — especially with those prompts listed above.
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Embedding Gemma – A Game-Changer for On-Device RAG
Retrieval-Augmented Generation (RAG) is a powerful technique for enhancing large language models (LLMs), but running it on-device has always been a challenge. Enter Google’s new Embedding Gemma model, a lightweight embedding model designed to make on-device RAG not only possible, but also easy and efficient.