{"payload":{"feedbackUrl":"https://github.com/orgs/community/discussions/53140","repo":{"id":677444538,"defaultBranch":"main","name":"WebML-Assist","ownerLogin":"SohaibAamir28","currentUserCanPush":false,"isFork":false,"isEmpty":false,"createdAt":"2023-08-11T15:33:37.000Z","ownerAvatar":"https://avatars.githubusercontent.com/u/103496288?v=4","public":true,"private":false,"isOrgOwned":false},"refInfo":{"name":"","listCacheKey":"v0:1691768162.0","currentOid":""},"activityList":{"items":[{"before":"54e1f618171f68781c7d8749d911931ec81ba84b","after":"5f315634231f6c2906bdad8010894c8e7908f231","ref":"refs/heads/main","pushedAt":"2023-08-11T15:36:04.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"SohaibAamir28","name":"Sohaib Aamir","path":"/SohaibAamir28","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/103496288?s=80&v=4"},"commit":{"message":"WebML Assist\n\nML Fast Lane with GPU Power. \r\nAI-driven, GPU-accelerated ML platform. Seamlessly build, train, and deploy models with blazing speed and intelligence.\r\nWorking on project\r\n\r\nElevate the realm of machine learning with \"WebML Assist.\" This innovative project integrates the power of WebGPU and the capabilities of the \"BabyAGI\" framework to offer a seamless, high-speed experience in machine learning tasks. \"WebML Assist\" empowers users to build, train, and deploy AI models effortlessly, leveraging the parallel processing of GPUs for accelerated training. The platform intuitively guides users through data preprocessing, model architecture selection, and hyperparameter tuning, all while harnessing the performance boost of WebGPU. Experience the future of efficient and rapid machine learning with \"WebML Assist.\"\r\n\r\nTechnologies Used:\r\n\r\nWebGPU\r\nOpenAI APIs (GPT-3.5, GPT-4)\r\nBabyAGI Pinecone API (for task management)\r\nFineTuner.ai (for no-code AI components)\r\nPython (for backend)\r\nRedis (for data caching)\r\nQdrant (for efficient vector similarity search)\r\nGenerative Agents (for simulating human behavior).\r\nAWS SageMaker (for developing  machine learning models quickly and easily build, train, and deploy).\r\nReinforcement learning (is an area of machine learning concerned with how intelligent agents).\r\n\r\nCategories:\r\n\r\nMachine Learning\r\nAI-Assisted Task Management\r\n\r\nBenefits:\r\n\"WebML Assist\" brings together the capabilities of WebGPU and AI frameworks like \"BabyAGI\" to provide an all-encompassing solution for ML enthusiasts. Users can seamlessly transition from data preprocessing to model deployment while harnessing the GPU's power for faster training. The incorporation of AI agents ensures intelligent suggestions and efficient task management.\r\n\r\nBy integrating AI, GPU acceleration, and user-friendly interfaces, \"WebML Assist\" empowers both novice and experienced ML practitioners to unlock the true potential of their projects, transforming the way AI models are built, trained, and deployed.","shortMessageHtmlLink":"WebML Assist"}},{"before":null,"after":"54e1f618171f68781c7d8749d911931ec81ba84b","ref":"refs/heads/main","pushedAt":"2023-08-11T15:33:37.000Z","pushType":"branch_creation","commitsCount":0,"pusher":{"login":"SohaibAamir28","name":"Sohaib Aamir","path":"/SohaibAamir28","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/103496288?s=80&v=4"},"commit":{"message":"Initial commit","shortMessageHtmlLink":"Initial commit"}}],"hasNextPage":false,"hasPreviousPage":false,"activityType":"all","actor":null,"timePeriod":"all","sort":"DESC","perPage":30,"cursor":"djE6ks8AAAADaPhfXwA","startCursor":null,"endCursor":null}},"title":"Activity · SohaibAamir28/WebML-Assist"}