💡 What if building a generative AI application could be as easy as dragging and dropping your app components? 💡 What if you could check out your components and test performance in minutes via an easy-to-use visual interface, rather than rebuilding your applications in hours or days? 🎺 Enter DataStax Langflow! 🎺 A visual framework that makes it easier for developers to quickly use any vector database, embedding model, or LLM to... → Experiment → Design → Test ...their RAG applications and GenAI apps. Get more details, and TRY Langflow here: https://dtsx.io/3XG8PDK #DataStax #Langflow #GenAI
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👋 Say hello to RAGStack — a ready-made Retrieval Augmented Generation (RAG) solution from DataStax that provides enterprises with an efficient set of tools and techniques for building Gen AI applications. 10x easier for Developers to build GenAI apps! Learn how to get started: http://ow.ly/l31C104ZTXl #RAG #GenAI
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Founder & CEO | Helping Companies with Media Work | Chief Data Scientist | Data is my passion | I write to 71k+ followers | We need more WOMEN in DATA
Wish to learn about the Future of GenAI Apps with LlamaIndex? Join this webinar on How to Build a GenAI App with Llama Index: https://lnkd.in/dZN-BkSN Not only will you gain theoretical insights, but you'll also witness a hands-on technical demonstration. By the end, you'll have access to a shared GitHub repository with all the code discussed! What You’ll Learn: - Foundations of LlamaIndex and its integration with LLMs - Step-by-step guidance on building a GenAI app using LlamaIndex - Techniques to optimize LLMs with LlamaIndex for enhanced performance Speaker: Madhukar Kumar, Chief Developer Evangelist at SingleStore Don't miss out on this opportunity to stay ahead in the AI landscape. Equip yourself with the knowledge and tools to harness the full potential of LLMs with LlamaIndex.
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Your organization may have terabytes of data; organizing it to be easily found can be one of the most challenging problems to solve. In this video, Developer Advocate Holt Skinner discusses Generative AI App Builder and how it enables developers to create apps focused on search and chat experiences. Watch along and discover how to make an internal search app with minimal coding and minimal setup.
Enterprise Search via Generative AI App Builder
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Aspiring Data Scientist | Research and development intern at @axis india machine learning | Passionate about Transforming Data into Actionable Insights.
🚀 Exciting News! 🚀 I'm thrilled to introduce my latest project on generative AI - a Q&A llm web app . 🎥 Watch the Video: This video presentation provides a brief introduction and overview of the problem statement and its solution. 🌟 Demo Time: Stick around till the end of the video for a quick demo of the web app in action! 🙏 Special Thanks: A huge shoutout to Codebasics for providing the real-world dataset that fueled the project. #GenerativeAI #AIProjects #MachineLearning #DeepLearning #ArtificialIntelligence #DataScience #ProjectDemo #Innovation #TechProjects
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Principal Data Scientist | 🌎 AI Community Builder | Strategy & Solutions | Generative AI | 20 Years+ Exp | Ex- MAF, Accenture, HP, Dell | LEAP & GITEX Keynote Speaker & Mentor | LLM, AWS, Azure & GCP
Looking to build your 𝐟𝐢𝐫𝐬𝐭 𝐟𝐮𝐥𝐥-𝐬𝐭𝐚𝐜𝐤 𝐀𝐈 𝐚𝐩𝐩 with cutting-edge technologies? In the ever-evolving digital landscape, seamlessly integrating AI into web applications is crucial for developers aiming to stay ahead. These are some of the key action items Harness the power of OpenAI: Learn how to integrate OpenAI's GTP 4o API to generate creative text formats, a skill applicable to many AI-driven projects. Master the modern stack: Gain hands-on experience with Prisma, Next.js 13, and Vercel, popular tools for building performant and visually appealing web apps. Full-stack development: Understand how front-end and back-end components work together seamlessly, from handling user input to deploying on Vercel. There is an amazing webinar happening tomorrow 9 pm GST on Building Full-Stack AI Apps with Prisma, Vercel, NextJS by SingleStore Details to join this webinar is in the comment below Community , what was your first full stack application Like and repost this as this will reach more people Photo Credit egghead.io #ai #tech #data
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Linkedln Top Voice | Keynote Speaker and Trainer on Data & AI | Udemy Course Creator | Data Science Trainer 🇵🇰 🌎| Ai Datayard | Course Author at Simpliv | Ranked Kaggle Mentor 2023 | Github Contributor
Used Deepnote AI to upload my notebook and build a demo APP on it and while it has greatly reduced efforts into deployment, I feel it has potential for more features such as: - Reduced ETL time. - Application templates for notebooks. - Conversion of notebooks into Deployment as a solution from Notebook creation. Thankyou so much Megan Lieu for telling me about this ! Its really nice. Link to my deployed notebook as an App. https://lnkd.in/e-XUGvhR #deepnote #AI #notebooks #appdevelopment
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Build AI Apps in a Flash with Gradio's Reload Mode 🚀 This post explores Gradio's reload mode for rapid AI app development: Faster Iteration: Instantly see UI changes without server restarts. ⚡️ Selective Reloading: Avoids unnecessary model reloading for efficiency. 🔍 Example: Document Analyzer App 📄 Users upload documents & ask questions. 🙋♀️ Answers come in natural language. 🗣️ Powered by Hugging Face Inference API (free & no GPU required!). 💻 Get Started Today! 🚀 This short post provides a concise overview of Gradio's reload mode benefits and a practical example of building a document analyzer app. #AIapps #GradioReload #DocumentAnalyzer #HuggingFace #NoGPU #ai https://lnkd.in/gziyy2RV
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Web AI Lead @Google [Research & machine intelligence / Core ML / Chrome / TensorFlow.js / MediaPipe]. ❤️ Web Engineering + innovation 🚀
Sneak peak of our stage at #GoogleCloudNext - will you be in one of the seats? Drop by at 5.30pm on Day 1 to learn about Visual Blocks - https://lnkd.in/gU7UxAZM - a low code editor that helps you bring AI powered ideas to life faster with your team. Learn how to make custom building blocks anyone on your team can reuse! Search "Visual Blocks" in your app to bookmark the talk and more details or go to this link: https://lnkd.in/g6_7Bfhm
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Leap x Vercel template just dropped. 🚨 It's a full-stack AI headshots starter kit built with @nextjs, @leap_api, @supabase, and @vercel. We're empowering every single developer to launch cutting-edge AI apps. And this is just our first of many. 🧵 Our Headshot AI github repo already has 2k+ stars and hundreds of forks. Now you can deploy it in seconds, spinning up @supabase auth & db all in one click. http://vercel.fyi/headshot
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At its core, considering the minimal predictive capacity of LLMs in generating tokens, I genuinely wonder about the rationale behind pursuing such an endeavor. The reliability of any generated output is questionable at best. I suppose that if the intention is to create basic poetry of lower quality, this application might find some utility. However, developers should be keenly aware of the potential legal ramifications when these initiatives inevitably encounter challenges due to the inherent unreliability of LLMs.
Did you know you can build a functional LLM app that uses LangChain, OpenAI, and soon any model on Hugging Face without coding and within minutes? With >12k stars on GitHub, Flowise is an open-source drag & drop tool to build LLM-powered apps: * Chat with your PDF and Excel files * Launch customer support chatbots * Turn user input into a full essay through multiple prompts (LLM chain) * Explore your codebase via a customized chatbot and more Flowise https://lnkd.in/g6Xws4Qh — Stay ahead of the AI curve in <2 mins http://aitidbits.ai
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Delivering the real-time vector data and RAG capabilities that Gen AI apps need, with seamless integration with developers’ stacks of choice (RAG, Langchain, LlamaIndex, OpenAI, GCP, AWS, Azure, etc)
3wAwesome product!