Davidayo’s Post

You can now turn your application into an AI powerhouse in a few hours.   If you are a developer who wants to build AI functionality into your application with as little effort as possible, this library is pretty magic, and it's open-source!   Star this repository:   https://lnkd.in/eHxrtNVE   You can use this library in many different ways. Here are a few:   • Add an in-app AI chatbot to your project   • Build an AI agent (powered by LangChain and LangGraph)   • Use an AI-powered smart textarea (AI autocomplete)   • Build RAG, function calling and integrations   Here is something super powerful about this:   When you do the integration, the AI functionality will have access to the data from your application. You can use it as context for the model and have the AI act on your application!   Their latest version uses GraphQL and implements React Hooks to customize the behavior of the AI behind the scenes.   CopilotKit🪁 is open-source (MIT license). You can self-host it. You can use it with any LLM.   Thanks to the team for showing me their tool and collaborating with me on this post!

🚀💡 Welcome to "The AI Monitor," your go-to source for the latest updates and insights in the AI industry. Discover the renaming of Supabase to Supabase-TS, Yann LeCun's thoughts on watermarking AI-generated content, Runway's Multi Motion Brush, Weaviate's Hybrid Search, and more! Supabase is contemplating renaming its JavaScript library from Supabase-JS to Supabase-TS to reflect the use of TypeScript, improving the developer experience. Stay tuned for updates. 💡 Renowned AI researcher, Yann LeCun, shares his perspectives on watermarking authentic content and the limitations of watermarking AI-generated content. Join the conversation on this important topic! 📸🔒 Empower your creativity with Runway's Multi Motion Brush. Learn how this feature adds expressiveness and intention to your video generations. Let your imagination run wild! 🖌️🎥 Weaviate introduces Hybrid Search, combining keyword-based search algorithms with vector search techniques to boost search relevance. Discover a smarter way to search for information. 🚀🔍 Simplify your report organization with a helpful trick from Weights & Biases. Save time by restructuring your reports quickly and easily. 👩💻📊 Exciting news from LangLabs! Introducing LangGraph, a revolutionary platform simplifying multi-agent workflows. Streamline processes and accelerate automation with LangGraph! 🔄🤖 "The AI Monitor" is committed to keeping you informed on AI advancements and insights. Join us in unlocking new possibilities in your endeavors. Read more: [Link]

Very interesting insights into how AI-generated code affects development. The costs are more subtle than they appear at first. Yes, AI productivity tools can increase the initial "lines-of-code velocity", but there are long-term implications. The main one is maintainability. Developers spend less time figuring out if there is existing or similar functionality in the legacy code base and just create essentially an AI-generated duplicate (in functionality but not literally). This makes the codebase lose its "theme" as its common code base diverges. With time, the code becomes less homogeneous, growing into technical debt. You might expect that rituals like code reviews would help alleviate this, but the data so far shows it's not the case. There is less borrowing from existing code bases when AI tools enter the chat. It's an interesting space to watch, as it's too early in the game to tell definitively what the long-term impact of these tools will be, if any. https://lnkd.in/eY9GrgjQ

𝐓𝐡𝐞 𝐀𝐥𝐩𝐡𝐚 𝐀𝐈 𝐀𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞 𝐋𝐨𝐰 𝐂𝐨𝐝𝐞 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Develop faster with minimal coding—AlphaAI handles the backend! 𝐀𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Reduce dev time by 90% with seamless AI integration and rapid deployment. 𝐂𝐨𝐧𝐭𝐞𝐱𝐭𝐮𝐚𝐥𝐢𝐳𝐞𝐝 𝐒𝐞𝐚𝐫𝐜𝐡: Harness powerful semantic search for highly relevant, intent-driven results. 𝐂𝐮𝐬𝐭𝐨𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Choose any AI model you prefer—AlphaAI’s Model Gateway supports a wide range of options. 𝐔𝐧𝐥𝐨𝐜𝐤 𝐬𝐦𝐚𝐫𝐭𝐞𝐫, 𝐟𝐚𝐬𝐭𝐞𝐫 𝐀𝐈 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐰𝐢𝐭𝐡 𝐀𝐥𝐩𝐡𝐚𝐀𝐈! #AuxinAI #LowCode #SemanticSearch #AIDevelopment

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When I was a developer, I would write 'Switch' statements or multiple 'If Then Else' blocks (or even use locator patterns) to help navigate the flow of logic through my code depending on user input. Google Gemini has built in "function calling" which utilises it's 'user intent' parsing capabilities to navigate the path through code blocks, through calls to LLMs and calls to datastores in real-time instead, so the flow is much more dynamic and not hard coded as a series of function calls. I wish I had this when I was a developer!! This is a really smart way of using Generative AI https://lnkd.in/dTs6vuMZ #genai #llm #functions

Don´t use AI to generate code. You are optimizing the wrong thing! Good code does not mean "it works", AI can do that perfectly well. It just doesn´t solve the real problem. Good Code for me is: - Easy to read (by humans) - Easy to understand (by humans) - Easy to extend (by humans) Writing good code requires empathy. AI can´t do that. And you know what? Writing the code is not the bottleneck in software projects. Never was. Why are we constantly trying to optimize this then? Most software projects spend the majority of their time in extension / maintenance mode (if they ever make it through the initial development phase). Using AI for code-generation might speed up the initial project-phase (some claim its 40%, I highly doubt it, I guess its more 10-20% if at all, but the real numbers don´t matter too much). This comes with a bad price you have pay later. And they only tell you when its too late. Maintaining AI-generated code is difficult. It slows me down, as I have to understand what the "thought-process" of this machine was at the time the code was generated. In this video, I´ll show you what I think is the real use case for AI. And how it help to speed up software plannning by 50% to 80%. We just launched our #accelerate program. Want to be an early adopter and use AI to solve the real problem? Lets talk! We are here to help. ----- The quiz example is stolen from Christian Thiel who presented this use case at AxonIQ Conference. I would solve the open question how to prevent the duplicate maintenance of events in typescript by using code generation of both backend and frontend directly from the Eventmodel. #eventmodeling #planning #ai

Bard has officially become Gemini ✨ With the release of Gemini Advanced, Offer access to the most capable AI model, Ultra 1.0. Be one of the first to take advantage of Google’s latest AI advancements for highly complex tasks like coding, logical reasoning, and creative collaboration. And the best part? Google DeepMind Gemini Advanced will only continue to expand with new and exclusive features, including the ability to upload and deeply analyze files, documents, data, and more. Stay ahead of the curve and see the detailed guide on using Gemini Models with ReactJS 💯 🔹Google AI Gemini API in web using React 🤖 https://lnkd.in/duuHjnPh 🔸Google AI Gemini Image Input API in Web using React 🤖 (Part# 2): https://lnkd.in/dqC3fcV7 #AI #gemini #google #googledevelopers

Shaping the future of the web requires your participation and next-generation tools. Participate in the Google Chrome Built-in AI Challenge today! Develop a web application or Chrome Extension that leverages Chrome's built-in AI model, Gemini Nano. The APIs include but are not limited to the Prompt API for Web and in Chrome Extensions, Summarization API, Write API, and Rewrite API. Learn more here ⬇️