Vercel’s Post

Build your AI applications where it’s fast, reliable, and advantageous.

⚡️ With its lightning-fast speed, unmatched scalability, and real-time data processing capabilities, #NodeJS emerges as the ultimate powerhouse for #AI integration, reshaping digital landscapes with innovative chatbots, predictive analytics, and beyond. Dive deeper into this transformative synergy in this latest article and embrace the boundless potential of backend development with Node.js and AI #integration.💡 #DigitalInnovation

I’m happy to share that first AI GPT-based product of Gutschwald AI Zentrum GmbH is fully live and operational. Introducing 🌀Krugozore AI chatbot - a Telegram-based GPT chatbot providing a user-friendly interface, intuitive logic, and special features such as a predefined library of useful prompts. https://lnkd.in/eaauTJVf What sets Krugozore apart from competitors and even OpenAI itself: - Accessibility: Gain full access directly within Telegram, eliminating the need for additional downloads. - Privacy: Onboard seamlessly using Telegram credentials without the need for phone numbers or emails. - Cost-efficiency: GPT-4 version offers a more cost-effective solution, courtesy of our exclusive pricing arrangement with OpenAI. During MVP testing, Krugozore has demonstrated the same response speed as the OpenAI app, making it an exceptionally useful tool. Following the MVP stage of last 3 months, we've gained interest of 3,000 users, with a 4% DAU (Daily Active Users) and a 17% MAU (Monthly Active Users) rate, surpassing Telegram itself and aligning with industry standards for app engagement. What's under the hood: - 4,000 lines of Python code 🐍 - Support for 9 languages - Voice and text recognition - API integration with OpenAI - API connectivity with Google Search - SQL database - Payment integration with Stripe - Cloud deployment for instant accessibility - Automatic UX We invite you to test and utilize 🌀Krugozore. If you have ideas for collaboration or need assistance in creating an MVP for your project without the coding hassle, please don't hesitate to reach out; we'd be delighted to assist you.

Curious about how no-code AI gateways are changing the game? Check out my latest blog post where top AI gateways like Portkey, Cloudflare, Kong, beNovelty, and Codenotary are higlighted. These platforms make it super easy to integrate AI models into your apps without writing any code. Perfect for developers and businesses looking to boost their tech capabilities.

Building a Stateless Conversational AI Chatbot with Next.js and ChatBotKit SDK Learn how to build a stateless conversational AI chatbot using Next.js and ChatBotKit SDK. This tutorial will guide you through the process of setting up a Next.js project, creating an API endpoint, and designing a chat user interface. Get started today and build your own chatbot! https://lnkd.in/gvSvf9Yi

You can’t do AI without API’s! So, are you building multi-LLM apps? Then check out our new AI Gateway - will make your life easier if you are! Here we go!! #Kong #AI #API

The best LLM use cases are where you use LLM as a tool rather than expose it directly. As Richard Seroter says, how many chatbots do you need? However, this use case of replacing static product pages by personalized product summaries is like many other LLM use cases in that it faces unique risks due to non-determinism. Imagine that a customer sues you a year from now, saying that they bought the product because your product summary claimed (wrongly) that the product was flameproof and their house burned down. The only way to protect yourself would be to have a record of every generated summary and the storage costs will quickly add up ... One way to avoid this problem (and what I suggest) is to generate a set of templates using LLMs and use an ML model to choose which template to serve. This also has the benefit of allowing human oversight of your generated text, so you are not at the mercy of prompt engineering. (This is, of course, just a way to use LLMs to efficiently create different websites for different customer segments -- the more things change, the more they rhyme with existing ideas). Many use cases of LLMs are like this: you'll have to reduce the non-deterministic behavior and associated risk through careful architecture.

Essentially, this idea is a product recommendation system. Done something similar in life-science industry. The UX quality would depend on how accurate and timely your User Preferences data are, how accurate you can match the preferences and the products, and the output quality of your AI model which I truly believe, still need human-review, due to the hallucination issues/risks. The more specific (niche) the products are, the higher the probability of preference-product mismatches and/or hallucinations occurred (obviously, because the training data of general AI model are too general), which could lead to bad UX.

Hey everyone! 🚀 Ever thought about the magic of blending #AI & #ML with React for your web projects? We've penned down some insights on how this integration can redefine modern web experiences. Check it out here and let's chat about how we can bring this magic to your next big idea: 👉 https://lnkd.in/ds9tv3rG 👈 #WebDevelopment #AIIntegration #React #MachineLearning #ModernWeb #CronJServices #CronJ

A post for the more tech-oriented of my network: I’ve been spending a bit of time using Flowise AI (https://flowiseai.com) recently. It’s an open source visual UI that enables you to quickly build an deploy complex AI applications. Support for pretty much every LLM and Vector Store, as well and LlamaIndex and Langchain. Definitely has a learning curve, but if you have a handle on the technologies already, it can drastically enhance your concept to production timelines. Ping me if you need any pointers. #ai #langchain #openai #nocode