Shoutout to @meghashyam1218 for being an integral part of this journey!
Check out the screenshots below to see the extension in action! 📸
🎯 Current Focus: Right now, we’re improving the accuracy of our Q&A and next-word prediction features while advancing our recommendation and summarization functionalities. Exciting things ahead! Stay tuned! #Ecommerce #AI #Innovation
🛠 QnA Dataset Generation: Using the T5 model, we’ve generated questions from provided contexts and employed the Transformers library’s Q&A pipeline to extract accurate answers. This boosts the relevance of our Q&A system. #AI #Transformers
📝 Product Summarization: We’re creating concise, informative summaries of product pages, highlighting key features and specifications. This helps users make informed decisions quickly. #ProductSummarization #NLP
🎯 Personalized Product Recommendations: We’re designing a system that suggests similar products based on detailed descriptions, specs, and ratings. Users can discover products tailored to their preferences. #RecommenderSystems #AI #MachineLearning
💡 Next-Word Prediction: Our LSTM-based next-word prediction model suggests the top 3 most probable next words based on user input. This feature makes searches and product reviews quicker and more intuitive! #DeepLearning #Ecommerce
🔍 Real-Time Question Answering: We’ve implemented a powerful Q&A system using a fine-tuned DistilBERT model. Users can get instant, accurate answers to their queries directly from product descriptions and specifications, saving time and effort! #AI #NLP
🚀 Excited to share the progress on our Intelligent E-Commerce Salesman Chrome Extension! 🛒 In today’s fast-paced online shopping world, customers need quick, accurate, and personalized info at their fingertips. Our extension is designed to enhance the shopping experience.
⚠️ Limitations of Decision Trees: Prone to overfitting, especially with complex trees. Can be unstable with small variations in data. Greedy algorithms might not produce the most optimal tree. #MachineLearning #DecisionTrees
🌟 Advantages of Decision Trees: Easy to understand and interpret. Handles both numerical and categorical data. Requires little data preprocessing. Can capture non-linear relationships. #MachineLearning #DecisionTrees
Understanding How Decision Trees Work 📊 How Decision Trees Work: Each node in a Decision Tree represents a feature, each branch represents a decision rule, and each leaf represents an outcome. By following the branches, we can make predictions! #MachineLearning #DecisionTrees
🌳 What Are Decision Trees?: Decision Trees are a popular machine learning algorithm used for classification and regression tasks. They split data into branches based on feature values, leading to decision outcomes. #MachineLearning #DecisionTrees
🚀 Adopting Gossip Protocol: Ideal for large-scale, dynamic, and fault-tolerant systems. It balances efficiency, reliability, and adaptability. #AdoptGossip #DistributedSystems
🌟 Anti-Entropy Mechanism: Uses anti-entropy to resolve discrepancies, ensuring all nodes eventually converge to the same state. #AntiEntropy #GossipProtocol
🔍 Failure Detection: Nodes regularly gossip about the health of peers, quickly identifying and mitigating failures. #FailureDetection #GossipProtocol
🗣️ Gossip Rounds: In each gossip round, a node contacts a subset of peers, sharing its state and merging received states. This process repeats, spreading information rapidly. #GossipRounds #GossipProtocol
📚 Project Voldemort: Implements gossip for consistent hashing and state distribution, optimizing data access and reliability. #ProjectVoldemort #GossipProtocol
💾 Apache Cassandra: Relies on gossip to share node state information and ensure data consistency across clusters. #ApacheCassandra #GossipProtocol
🏢 Amazon DynamoDB: Uses gossip for membership and failure detection, ensuring high availability and fault tolerance. #AmazonDynamoDB #GossipProtocol
United States Trends
- 1. #FanCashDropPromotion 1,110 posts
- 2. Summer Walker 23.3K posts
- 3. Good Friday 53.1K posts
- 4. #NXXT_Earnings N/A
- 5. #FridayVibes 4,509 posts
- 6. Wale 36.9K posts
- 7. #GringosVenezuelaNoSeToca 2,867 posts
- 8. #NXXTSqueeze N/A
- 9. Happy Friyay 1,355 posts
- 10. Saylor 37.1K posts
- 11. Go Girl 25.6K posts
- 12. Meek 6,350 posts
- 13. Doug McMillon N/A
- 14. $BTC 120K posts
- 15. Red Friday 3,333 posts
- 16. Robbed You 4,932 posts
- 17. Bill Clinton 56.4K posts
- 18. Finally Friday 2,519 posts
- 19. Monaleo 2,347 posts
- 20. CONGRATULATIONS JIN 27.5K posts
Something went wrong.
Something went wrong.