Mohan Ganesan’s Post

Scrape Websites with OpenAI Function Calling in JavaScript https://lnkd.in/dVhaD7ma Web scraping with OpenAI allows for resilient data extraction from websites using JavaScript. It leverages natural language processing to handle changes in HTML structure. This article provides a code example for scraping product data from an ecommerce website. #webcrawling #webscraping

Scrape Websites with OpenAI Function Calling in JavaScript https://lnkd.in/dVhaD7ma Web scraping with OpenAI allows for resilient data extraction from websites using JavaScript. It leverages natural language processing to handle changes in HTML structure. This article provides a code example for scraping product data from an ecommerce website. #webcrawling #webscraping

Scrape Websites with OpenAI Function Calling in JavaScript https://lnkd.in/dVhaD7ma Web scraping with OpenAI allows for resilient data extraction from websites using JavaScript. It leverages natural language processing to handle changes in HTML structure. This article provides a code example for scraping product data from an ecommerce website. #webcrawling #webscraping

TensorFlow.js is a JavaScript library used to build and run machine learning and deep learning models in web browsers and the #Node.js environment. This article will discuss the structure of TensorFlow.js, how and why it is used, and specifically a code example in a real-time facial analysis application. #FaceAnalysis #TensorFlow 📌  #JavaScriptlibrary  #FaceMeshmodel #html5 #css3 #javaScript

Anthropic updates Claude AI to write and run Javascript code https://buff.ly/40ksxpY

🌟 Revolutionizing Web Development with AI 🌟 If you're looking to integrate AI-powered features directly into your web applications, let me introduce you to LangChain.js—the ultimate tool for seamlessly connecting your web app with powerful Large Language Models (LLMs)! 🚀 🚀 What is LangChain.js? LangChain.js is a game-changing library that empowers developers to build powerful AI applications by connecting LLMs (Large Language Models) with real-world applications. It's designed for the JavaScript/TypeScript ecosystem, making it perfect for modern web developers! 🔥 Key Benefits of LangChain.js in Your Web Apps: Seamless AI Integration 🤖 Easily integrate ChatGPT-style conversational AI, document processing, or any generative AI functionality into your web apps with just a few lines of code. Data-Aware Models 📊 LangChain allows your models to be contextual! Integrate external data sources like databases, APIs, and web scraping to provide your AI with dynamic and real-time knowledge. Customizable Workflows ⚙️ LangChain enables you to create custom workflows by chaining together prompts, models, and actions. Perfect for building advanced chatbots, recommendation systems, and decision-making tools! Agent-Based Systems 🤖🕹️ Want to automate decision-making? LangChain gives you the tools to build agents that can take actions based on AI responses. Imagine an AI that can search the web, book appointments, or send emails autonomously! Optimized for Frontend & Backend 💻🖥️ LangChain.js works smoothly in both Node.js and the browser, enabling you to build AI-powered features across client-side and server-side applications with ease. Plug and Play with LLMs 🔌🤖 LangChain.js supports top LLMs (like OpenAI and Cohere) and allows you to switch between models effortlessly, ensuring you always use the best model for your use case. Modular & Extensible 🧩🔗 It's designed with flexibility in mind. You can start with a simple chatbot and expand into complex AI applications without breaking a sweat. Whether it’s for NLP tasks, API interactions, or automation, LangChain.js has got you covered. Open-Source & Community-Driven 🌍💡 LangChain.js is open-source, so you get full transparency, an active community, and constant updates with cutting-edge AI integrations. Check it out 👇 #js #langchain #nodejs #reactjs #nextjs #ai #generativeai #github

I'm not sure if training or deploying machine learning models in JavaScript is a good idea, but it might be a good starting point for JavaScript engineers interested in AI. #js #ts #ai

Curious about how JavaScript can play a role in AI development? Explore how this versatile language is making strides in AI applications. Check out the article below to dive into the possibilities. #javascript #artificialintelligence #webdevelopment #AI https://lnkd.in/eHjpxxR7

Can JavaScript Help You Develop AI Applications? Hey, tech fellows! Have you ever thought about how JavaScript, the king of web development, is stepping into the world of Artificial Intelligence? A few months back, Andrew Ng launched an exciting course on building context-aware LLM apps with LangChain.js. It’s a clear signal that JavaScript has immense potential for AI applications! Recently, two senior developers, Tejas Kumar and Kevin Ball, joined forces to create a course on LLM agents in JavaScript. They explored various ways to harness JavaScript for building intelligent agents, using libraries like TensorFlow.js. Imagine running AI models directly in your browser! This means less server load and real-time interactivity for applications like chatbots and analytics. - Why JavaScript Rocks for AI JavaScript frameworks like Node.js and Next.js make accessing machine learning libraries a breeze. TensorFlow.js is a game-changer here, allowing us to deploy generative models in the browser. For instance, you can use a Deep Convolutional GAN to create realistic images on the fly. Users can tweak settings and see instant results—how cool is that? Take Google’s Magenta project as another example. It provides TensorFlow.js implementations for music generation models, enabling you to compose music right in your browser. 🎶 In fact, LinkedIn chose TensorFlow.js over Python last year because of its speed. That’s a testament to JavaScript’s capabilities! - Chatbots Get Smarter with JavaScript JavaScript isn’t just for websites; it’s making chatbots smarter too! With natural language processing (NLP), chatbots can understand user intent better and improve their responses over time. Full-stack developer Shoaib F emphasizes that JavaScript is perfect for creating responsive chatbots that integrate seamlessly into web applications. Businesses are already using these intelligent chatbots for customer support, feedback collection, and lead generation. - But Can JavaScript Replace Python? While JavaScript is making waves in AI, Python still holds the crown in this space. With a rich ecosystem of libraries like Pandas, TensorFlow, and Keras, Python is unbeatable for exploratory data work. A Reddit user mentioned that most AI/ML tasks involve data manipulation and model evaluation, where Python shines. So, while JavaScript for AI is still in its early days, the future looks promising! Expect more courses and libraries to emerge, making it easier to integrate AI into web apps. - A Tip for JavaScript Developers If you’re familiar with JavaScript and want to dive into AI, consider trying TypeScript! It’s a superset of JavaScript and is increasingly being used in AI development. Learn JavaScript from W3Schools.com, JavaScript Mastery Happy coding, and let’s embrace this exciting journey into AI together! 🚀 Follow Career Tech Insight to get Latest Updates On AI Tools, AI News and Tech Insights 💎 Stay curious, [Career Tech Insight ]

I stumbled onto this project while I was browsing langgraph examples, and it feels like its out of a dream. Web voyager is an LLM app that uses OpenAI, Python Playwright, and Javascript to navigate the web. A OpenAI GPT-4o model with vision capabilities is used to take a screenshot of the webpage and to generate the actions for the agent to take. Playwright is used to execute the action scripts and has Javascript tooling for moving the mouse, clicking, scrolling, typing, etc. LangGraph is used to orchestrate sequential agent tasks. I usually don't share projects that I haven't made a contribution to, but this is very cool so I'll make an exception in the spirit of sharing. Here is a GitHub link to this specific example (originally from the langgraph repo): https://lnkd.in/ev97fEdp Query: Could you check google maps to see when i should leave to get to SFO by 7 o'clock? starting from SF downtown. Answer: The travel time from Financial District, San Francisco to San Francisco International Airport is approximately 18 minutes. To arrive by 7 o'clock, you should leave around 6:42 PM to account for travel and a few extra minutes for any delays. Prompt: Imagine you are a robot browsing the web, just like humans. Now you need to complete a task. In each iteration, you will receive an Observation that includes a screenshot of a webpage and some texts. This screenshot will feature Numerical Labels placed in the TOP LEFT corner of each Web Element. Carefully analyze the visual information to identify the Numerical Label corresponding to the Web Element that requires interaction, then follow the guidelines and choose one of the following actions: 1. Click a Web Element. 2. Delete existing content in a textbox and then type content. 3. Scroll up or down. 4. Wait 5. Go back 7. Return to google to start over. 8. Respond with the final answer Correspondingly, Action should STRICTLY follow the format: - Click [Numerical_Label] - Type [Numerical_Label]; [Content] - Scroll [Numerical_Label or WINDOW]; [up or down] - Wait - GoBack - Google - ANSWER; [content] Key Guidelines You MUST follow: * Action guidelines * 1) Execute only one action per iteration. 2) When clicking or typing, ensure to select the correct bounding box. 3) Numeric labels lie in the top-left corner of their corresponding bounding boxes and are colored the same. * Web Browsing Guidelines * 1) Don't interact with useless web elements like Login, Sign-in, donation that appear in Webpages 2) Select strategically to minimize time wasted. Your reply should strictly follow the format: Thought: {{Your brief thoughts (briefly summarize the info that will help ANSWER)}} Action: {{One Action format you choose}} Then the User will provide: Observation: {{A labeled screenshot Given by User}}