Joe Warbington 📊☁️’s Post

We built a demo app to ensure easy use of paper submission and workflow customization. What's next? We will up our game to produce analytics and utility tools for the community. Stay tuned for more updates. Join the waitlist and be one of the first who can get hands-on with the app and help us do more human evaluations, pushing the boundaries of how Human and AI can accelerate science together. Link: https://lnkd.in/g_FrJM76 First milestone is up. Let's recap what we have achieved in the past 10 days: We have established a working Multi-Agents Infrastructure for AI Editors and Peer Reviewers driven by various SOTA LLM models. We have scanned through batches of scientific preprints and manuscripts, producing 200+ AI-generated editorial comments, reviewer personas, paper analyses, error identification, and ratings. All data is well recorded through our metadata tracing workflow. Keep an eye on the upcoming dataset release.

Build an Inbound GPT that knows your business, knows your customers, supports customers, identifies opportunities, asks the right questions, and updates your team 24 hours a day, 7 days a week! Deploy a custom GPT to support customers, capture new leads, and update your team and the 5,000+ Zapier apps in real time. Click for early access and to build a custom Inbound GPT to reduce support calls and boost conversions up to 40% from your existing website traffic! https://easygpt.builders/ #easygptbuilders #CustomInboundGPT #CustomerSupport #LeadConversion #DynamicWebsite #EarlyAccess #MoreLeads #BusinessTransformation #AIAssistance #CustomerEngagement #InboundMarketing

Build an Inbound GPT that knows your business, knows your customers, supports customers, identifies opportunities, asks the right questions, and updates your team 24 hours a day, 7 days a week! Deploy a custom GPT to support customers, capture new leads, and update your team and the 5,000+ Zapier apps in real time. Click for early access and to build a custom Inbound GPT to reduce support calls and boost conversions up to 40% from your existing website traffic! https://easygpt.builders/ #easygptbuilders #CustomInboundGPT #CustomerSupport #LeadConversion #DynamicWebsite #EarlyAccess #MoreLeads #BusinessTransformation #AIAssistance #CustomerEngagement #InboundMarketing

Abstract and calendar search by topic are live and working well. https://app.datym.ai

Here are 8 things you can do right now to improve skills and give your career a 90% boost ✅ Learn from the best 🦸 Learn from Alex Freberg Learn from Walter Shields ✅ Get Impactful End-to-End ML Project Ideas 💡 Follow Meri Nova Follow Pau Labarta Bajo ✅ Join a Community and Subscribe to a Newsletter 🗞️ Signup to Break Into Data Subscribed to WSDA News https://lnkd.in/enphTPze ✅ Build an Interactive Web Apps with Data 🈸 Learn Shiny https://shiny.posit.co Learn Streamlit https://streamlit.io And finally, thank me later 😊😊 👍 Like | 💬 Engage | 🔄 Repost | 🤝 Connect #DataScience #MachineLearning #10xbid #CareerGrowth

There is so much noise and complexity in GenAI. David Leconte has the ability to clear it up and turn GenAI into an asset for enterprises! #RAGStack absolutely is the way to go! Especially in combination with the Fastest and most Accurate #Vector search in the world with DataStax

🚀 Hepatitis Prediction App 🌟 Proud to share my latest project—a Hepatitis Prediction App built using React for the frontend and a machine learning-powered Flask API for the backend! This application leverages a trained Gradient Boosting Model to predict the likelihood of hepatitis based on critical health metrics like bilirubin, albumin, cholesterol levels, and more. Key Features: 🔹 Interactive and Intuitive UI: A sleek, responsive design with dynamic feedback for predictions. 🔹 Machine Learning Integration: Powered by a Gradient Boosting Classifier trained on healthcare datasets. 🔹 Real-time Predictions: Submit health data and get instant predictions with detailed interpretations. 🔹 End-to-End System: Seamlessly integrates the backend and frontend for smooth performance. Special thanks to Dawood Imtiaz for their valuable contributions to this project! Their insights and collaboration made this project a success. 💡 This app is a demonstration of how technology can assist in healthcare decision-making by providing meaningful predictions and improving accessibility. 🔗 GitHub Repository: https://lnkd.in/dyJewmMF Looking forward to hearing your thoughts or exploring collaboration opportunities! 🚀 #MachineLearning #React #Flask #HealthcareInnovation #Teamwork

🚀 Hepatitis Prediction App 🌟 Proud to share my latest project—a Hepatitis Prediction App built using React for the frontend and a machine learning-powered Flask API for the backend! This application leverages a trained Gradient Boosting Model to predict the likelihood of hepatitis based on critical health metrics like bilirubin, albumin, cholesterol levels, and more. Key Features: 🔹 Interactive and Intuitive UI: A sleek, responsive design with dynamic feedback for predictions. 🔹 Machine Learning Integration: Powered by a Gradient Boosting Classifier trained on healthcare datasets. 🔹 Real-time Predictions: Submit health data and get instant predictions with detailed interpretations. 🔹 End-to-End System: Seamlessly integrates the backend and frontend for smooth performance. Special thanks to Muhammad Moiz Khan for their valuable contributions to this project! Their insights and collaboration made this project a success. 💡 This app is a demonstration of how technology can assist in healthcare decision-making by providing meaningful predictions and improving accessibility. #MachineLearning #React #Flask #HealthcareInnovation #Teamwork

Here's a breakdown of the demo I presented during the CNCF Hyderabad talk. If you or your organization relies on #Kubernetes and want to get into the #GenAI space, this post is meant for you! Please reach out to me if you have any questions or suggestions.

Looking to understand how a ReAct agent was built, check this post out by Shreyas Mocherla . The blog post goes into how the Tools were built up and eventually delivered the functionality expected out of the Smart Contextual Q&A bot. Detailed blog posts like these are very rare to come by. 👍👏