Wonderful article here from Dhanush Kishore on the statistical engine we have developed at Skyscanner to evaluate A/B tests and estimate uncertainty:
Robert Shepherd’s Post
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Check out this article written by our amazingly talented data science team on how we developed a statistical engine for Skyscanner's in-house experimentation platform!
Wonderful article here from Dhanush Kishore on the statistical engine we have developed at Skyscanner to evaluate A/B tests and estimate uncertainty:
WISE: Skyscanner’s Bayesian AB experimentation library and decision engine
medium.com
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🚀 Day 2 Progress on Building Highway AI! Today was all about structure, focus, and strategy. Here’s what went down: 1️⃣ Created the AI Agent Structure: I structured all the AI agents across every category. Each agent now has its own defined responsibilities, making Highway more scalable and ready for real-world tasks. 🎯 2️⃣ Switch from APIs to UIs: After some research, I decided to pivot from APIs to a UI-first approach. Why? I’m focusing on non-technical B2B users who need simplicity and accessibility. A UI provides a more user-friendly way for businesses to interact with Highway agents. This change aligns better with their needs and expectations. 🌐 3️⃣ Efficiency Improvements: Spent time exploring new tools and strategies to make Highway more efficient and less verbose. The goal? A lean, clean, and highly performant system that’s easy to work with. 🛠️ Looking ahead, I’m excited to continue refining the framework and adding more functionality to the agents. Your thoughts or suggestions are always welcome—let’s make Highway the best it can be! 🚀
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This conference season, I've compiled several session proposals for my team focused on AI in the Multifamily industry. It's an expansive topic with numerous avenues to explore. My aim is to keep the dialogue going with compelling content, but I want to ensure it resonates with our audience. Rather than relying on guesswork, I'm reaching out to YOU for input. What topics pique your interest? Which aspects of AI in Multifamily do you crave more insight into? Please take a moment to share your thoughts in this survey, and be sure to watch out for more content 👀 https://lnkd.in/gpeDx2wJ
AI Topics Survey for Multifamily
https://typeform.com
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🌟 Excited to Share My First Project! 🌟 I’m thrilled to introduce my first project, a One-Day Trip Planner Bot! 🚀 🎯 What It Does: This bot revolutionizes day trip planning by providing personalized recommendations and crafting an optimized schedule. With live Google Maps integration, it visualizes all suggested places and routes seamlessly on an interactive road map, ensuring an effortless travel experience! 💡 Key Features: ✅ Personalized trip recommendations powered by LLM (Mistral) for intelligent suggestions. ✅ Real-time visualization of suggested places with Google Maps integration. ✅ Optimized road map and travel routes for a smooth journey. ✅ User-friendly interface for hassle-free trip planning. 🛠️ Technologies Used: Mistral (LLM) for generating smart, personalized recommendations Google Maps API for live location integration and route visualization. Python for backend logic. [Include any other relevant tools/frameworks]. ✨ This project was an exciting journey that allowed me to combine AI with real-world travel solutions, leveraging cutting-edge technologies to enhance user experience. I’d love to hear your thoughts and connect with like-minded tech enthusiasts! #AI #TravelTech #LLM #Mistral #GoogleMapsAPI #PythonProjects #LearningAndGrowing
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Spring Launch Recap Week is here! 🚀 This spring, we introduced 8 new ways of creating, managing and consuming content and campaigns: 1. Content and action categories 🏷️ 2. Templates 📄 3. Translation Glossary 🇬🇧 → 🇩🇪🇫🇷🇸🇪… 4. Polls 📊 5. SCORM integration 🔌 6. Sequential Actions 🔓 7. Recurring Actions 🔁 … and 8. our AI Quiz Generator 🪄 See you on Wednesday for our next Spring Launch Recap, which is all about spritzing up the user interface and experience in Atobi! Check out the updates below 👇
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Like Copilot, only free and opensource, RAGFlow.io shows off how organisations can use AI to create conversational interfaces that understand their corporate knowledge. Imagine, you're a lawyer and need to do research for your next case. Normally, this is a manual and arduous process. Or maybe you send your clerk or assistant to do the heavy lifting. With RagFlow, you just load all the law documents, case files and any other relevant information and ask natural language questions. You'll get answers with references back. In seconds. And accurate upto 89% (depending on which LLM you use). The amount of progress in this field is astounding lately. Just brilliant! https://ragflow.io/
RAGFlow | RAGFlow
ragflow.io
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🚀 𝐄𝐱𝐜𝐢𝐭𝐢𝐧𝐠 𝐍𝐞𝐰𝐬: 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐢𝐧𝐠 𝐒𝐍𝐀𝐏𝐒𝐂𝐑𝐈𝐁𝐄 - 𝐘𝐨𝐮𝐫 𝐓𝐞𝐱𝐭-𝐭𝐨-𝐈𝐦𝐚𝐠𝐞 𝐑𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧! In recent years, 𝐭𝐞𝐱𝐭-𝐭𝐨-𝐢𝐦𝐚𝐠𝐞 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 has evolved immensely, allowing users to 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐞 𝐡𝐢𝐠𝐡-𝐪𝐮𝐚𝐥𝐢𝐭𝐲 𝐢𝐦𝐚𝐠𝐞𝐬 simply by describing them with text. It’s an incredible tool for 𝐜𝐫𝐞𝐚𝐭𝐨𝐫𝐬, 𝐝𝐞𝐬𝐢𝐠𝐧𝐞𝐫𝐬, 𝐚𝐧𝐝 𝐦𝐚𝐫𝐤𝐞𝐭𝐞𝐫𝐬, making visual 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐜𝐫𝐞𝐚𝐭𝐢𝐨𝐧 𝐟𝐚𝐬𝐭𝐞𝐫, 𝐞𝐚𝐬𝐢𝐞𝐫, and more accessible than ever before. As AI continues to grow at an exponential rate, we can't deny that it's changing the landscape – for better or worse. Having worked on a lot of personal 𝐭𝐞𝐱𝐭 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬 in the past, I felt it was time to explore new horizons and post open-source projects. That's why I'm thrilled to share my latest project: 𝐒𝐍𝐀𝐏𝐒𝐂𝐑𝐈𝐁𝐄. 🎉 𝐒𝐍𝐀𝐏𝐒𝐂𝐑𝐈𝐁𝐄 is a cutting-edge app that transforms your text into 𝐡𝐲𝐩𝐞𝐫-𝐫𝐞𝐚𝐥𝐢𝐬𝐭𝐢𝐜 𝐢𝐦𝐚𝐠𝐞𝐬 using the powerful 𝐑𝐞𝐚𝐥𝐕𝐢𝐬𝐗𝐋_𝐕𝟓.𝟎_𝐋𝐢𝐠𝐡𝐭𝐧𝐢𝐧𝐠 model. Whether you're looking to generate lifelike visuals for your 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬, 𝐬𝐨𝐜𝐢𝐚𝐥 𝐦𝐞𝐝𝐢𝐚, or personal projects, SNAPSCRIBE brings your ideas to life with ease. The best part? 𝐈𝐭’𝐬 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞𝐥𝐲 𝐟𝐫𝐞𝐞 𝐚𝐧𝐝 𝐝𝐞𝐩𝐥𝐨𝐲𝐞𝐝 𝐨𝐧 𝐇𝐮𝐠𝐠𝐢𝐧𝐠𝐅𝐚𝐜𝐞 𝐒𝐩𝐚𝐜𝐞𝐬. I’m excited for you to try it out and see what it can do. Your feedback will be invaluable as I continue to improve it. 🌟 𝐆𝐢𝐯𝐞 𝐢𝐭 𝐚 𝐭𝐫𝐲 𝐡𝐞𝐫𝐞: https://lnkd.in/gbmV7bFz 𝐋𝐞𝐭’𝐬 𝐞𝐦𝐛𝐫𝐚𝐜𝐞 𝐭𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐜𝐫𝐞𝐚𝐭𝐢𝐯𝐢𝐭𝐲 𝐭𝐨𝐠𝐞𝐭𝐡𝐞𝐫! 🙌 #AI #TechInnovation #TextToImage #SNAPSCRIBE #RealVisXL #Creativity #HuggingFace #ArtificialIntelligence #FreeApp #FeedbackWelcome
SnapScribe - a Hugging Face Space by Aklavya
huggingface.co
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🌟 Thrilled to Present My Latest Project: Hotel Reservation Cancellation Analysis and Prediction 🏨📊 In this project, I developed a machine learning solution to predict hotel booking cancellations. Using a real-world dataset, the project aims to assist hotels in optimizing revenue and improving customer satisfaction. 🔗 Explore the project on GitHub: https://lnkd.in/dUv-8Ewf 💡 Key Features: ✔️ Data analysis and visualization for actionable insights. ✔️ Advanced models. ✔️ A user-friendly interface to explore predictions. A heartfelt thank you to Khamjane aziz for the guidance and support throughout this journey! 🙏 #MachineLearning #DataScience #AI #Streamlit #HotelManagement #Python
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Perfect object removal via Google DeepMind. Check out these difficult examples 💎 Perfect Object Segmentation 💎 Perfect background replacement/inpainting 💎 Perfect Effect Association if you work on multiple objects There is no code release date, yet. And might not be released with an open source license.
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Exploring the world of AI with a small yet mighty project! 🚀 Created a Stadium Assistant Chatbot using Language Models to enhance the stadium experience. From simple queries to game-day excitement, it's all about making every moment count. Excited to share my simple latest project on GitHub! 🎉 Check out the Stadium Assistant Chatbot, a fun and functional tool to enhance the stadium experience. From parking tips to food options, it's all about making game day smooth and enjoyable. Dive into the code and let me know what you think! #GitHub #Chatbot #StadiumAssistant #CodeFun #AI #Chatbot #SmallProject #GameDayFun Link: https://lnkd.in/e-y_Hxpe
stadium-assistant-chatbot/README.md at main · Nishi-Gandhi/stadium-assistant-chatbot
github.com
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Senior Data Scientist
10moDhanush Kishore and the Skyscanner experimentation squad have provided an outstanding overview of WISE, Skyscanner's Bayesian AB experimentation library. Here are some key points: Technical Sophistication: Using Bayesian statistics for product decision-making allows integration of prior knowledge and updating beliefs with new data. Automated Decision-Making: WISE's integration into the Dr Jekyll platform automates decision processes, reducing the cognitive load on data scientists and product managers. Standardization Across Teams: WISE standardizes AB testing across Skyscanner, ensuring consistent, reliable experimentation outcomes that facilitate easy comparison and insight sharing. Statistical Rigor: The use of Bayesian models like the beta-binomial and hurdle gamma-exponential addresses the complexities of skewed and zero-inflated data. Real-World Application: An example involving messaging about commissions illustrates WISE's practical value in enhancing user trust and improving experience. Challenges and Education: Acknowledging challenges in adopting Bayesian methods and the need for stakeholder education sets realistic expectations for transition.