🚀 Open Source Claude Artifacts – Built with Llama 3.1 405B! LlamaCoder: an open-source web app capable of generating small applications with just one prompt. Powered by Llama 3.1 405B from Meta and Together AI for seamless LLM inference. 🛠️ Tech stack highlights: ⚡️Llama 3.1 405B for the LLM (Meta) ⚡️Together AI for LLM inference ⚡️Sandpack for the code sandbox ⚡️Next.js with Tailwind for smooth app routing ⚡️Helicone for observability ⚡️Plausible for website analytics Check it out here: www.llamacoder.io and see how LlamaCoder simplifies app generation with a single prompt! #opensource #ai #togetherai #llamacoder #webdevelopment #llms #metaai
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Have you tried Gemini yet? Have you tried Firebase? No better time than now! Click the link and in a few simple steps you can play with a working app. The emulator lets you modify the multi-modal prompts and the code is right there to explore.
Build with generative AI in minutes using Firebase → https://lnkd.in/gFZg9ppk Explore our new sample web app, "Planning with the Gemini API," and discover how easy it is to integrate generative AI into your next project. Experience a streamlined workflow with: → Zero coding: Begin experimenting immediately with Project IDX, our cloud-based workspace with everything pre-configured. → Rapid prototyping: Test different prompts and instantly see how the Gemini API responds. Modify the code directly for deeper exploration. → Built-in experience with Firestore and Auth: Leverage the power of Firebase Auth and Firestore for a robust and secure AI solution. See a working app in under three minutes – no downloads, installations, or coding required. #generativeAI #Firebase #ProjectIDX #webdev
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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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Websim is an interesting AI developing platform to generate small web app by using a prompt code. https://websim.ai
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text to video
New Text to Video model just dropped!🔥 🔥 FancyVideo: Towards Dynamic & Consistent Video Generation via Cross-frame Textual Guidance. Read more about the project: https://lnkd.in/gja75Bq8 Gradio is your 1-stop solution for creating production-ready GenAI apps. We offer: - Slick UIs - Ease of building - Scalable - Vast number of examples - A repertoire of trending AI apps (Trending Spaces on Hugging Face: https://lnkd.in/gZAznuTV) - Easy to read Docs: https://lnkd.in/dZhkvNgg - Apps as API endpoints, and much, much more!
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Build with generative AI in minutes using Firebase → https://lnkd.in/gFZg9ppk Explore our new sample web app, "Planning with the Gemini API," and discover how easy it is to integrate generative AI into your next project. Experience a streamlined workflow with: → Zero coding: Begin experimenting immediately with Project IDX, our cloud-based workspace with everything pre-configured. → Rapid prototyping: Test different prompts and instantly see how the Gemini API responds. Modify the code directly for deeper exploration. → Built-in experience with Firestore and Auth: Leverage the power of Firebase Auth and Firestore for a robust and secure AI solution. See a working app in under three minutes – no downloads, installations, or coding required. #generativeAI #Firebase #ProjectIDX #webdev
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Yesterday, I posted about creating a web app utilizing Streamlit UI, integrating Llama Index for text extraction from knowledge bases, and harnessing Google's Generative AI - GEMINI, with a pre-loaded text file serving as its knowledge base. Today, I'm excited to unveil an upgraded version with improved file management capabilities. Users can now easily upload their own files and remove them when not needed, enhancing the flexibility and usability of the app. Link: https://lnkd.in/gwPxPB_p Github Repo: https://lnkd.in/gX8FsGQx Semoga bermanfaat!
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Congratulations to our very own Sandesh Chapagain for winning the Kearney GEN AI Innovation Storm ⚡: finding the best GenAI use case to make consulting faster, better, cheaper, and more fun. With Hunter Dunbar's guidance, Sandesh created 'Kearney Prompt Helper', a GenAI tool that is designed to streamline the creation, storage and execution of of grounded prompt templates, facilitating development of a rich prompt repository that can be used in diverse consulting domains. Sandesh also delivered a full function web app! Claps all around! 👏 #winwithdata
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Asking Mistral AI's LLMs to perform actions (or at least to have actions performed) is now possible with the superb Function Calling API. 👩💻 Discover this API in the following article and get hands-on with the code with a ready-to-use Flask app! 👉 Article: https://lnkd.in/dNHqiJDy 💡In the demo, there's a home automation application controlled via the large Mistral model. Feel free to share the article with developers around you. 📚 cc: Sophia Yang, Ph.D. #ai #llm #lam #mistral
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Building high-quality agentic applications can be complex without the right tools to evaluate performance with every stage and/or change. Databricks simplifies this process to help your teams bring more and better quality apps to market faster.
Announcing Mosaic AI Agent Framework and Agent Evaluation! New tools designed to help developers build and deploy high-quality Agentic and RAG apps. See an example of how to build a high-quality agentic application using Agent Framework and improve its quality using Agent Evaluation: https://dbricks.co/3RWt7VJ
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Announcing Mosaic AI Agent Framework and Agent Evaluation! New tools designed to help developers build and deploy high-quality Agentic and RAG apps. See an example of how to build a high-quality agentic application using Agent Framework and improve its quality using Agent Evaluation: https://dbricks.co/3RWt7VJ
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ME Mechatronics Engineering @MUET | ML Engineer | Python | Ex-intern @Pakistan Railways | Problem Solver
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