AWS SageMaker AI technology page Top Builders

Explore the top contributors showcasing the highest number of AWS SageMaker AI technology page app submissions within our community.

Joseph Pollack
CIO

AWS SageMaker

Amazon SageMaker is a fully-managed machine learning service that makes it easy for data scientists and developers to quickly and easily build, train, and deploy models into a production-ready hosted environment. It provides an integrated Jupyter notebook instance for convenient access to data sources for exploration and analysis, eliminating the need to manage servers. Additionally, it offers optimized common machine learning algorithms that are designed to function efficiently with large data sets in distributed environments. SageMaker also allows users to bring their own algorithms and frameworks and offers flexible distributed training that can be adapted to individual workflows. Models can be quickly deployed into a secure and scalable environment using the SageMaker Studio or the SageMaker console.

General
Relese date	November 29, 2017
Author	AWS
Type	Learning Service

AWS Amazon SageMaker Libraries

Discover the AWS Amazon SageMaker libraries and SDKs.

AWS Amazon SageMaker Build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows
SageMaker Tutorials Machine Learning Tutorials with Amazon SageMaker

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AWS SageMaker AI technology page Hackathon projects

Discover innovative solutions crafted with AWS SageMaker AI technology page, developed by our community members during our engaging hackathons.

ML-powered Malay Messaging Maker

Business Problem: MNCs lose $120 billion in annual revenue opportunities due to insufficient localization efforts in their promotions. Ineffective localization can hinge brand trust and cost brand reputation, while decreasing sales and customer acquisition. The Malay-speaking market is a strategic gateway to the broader Muslim market for MNCs. However, entering this market presents significant challenges, including lengthy agency hiring processes and potential cultural and religious misunderstandings. On top of that, traditional A/B testing is a slow and inefficient process, often taking 3-6 months to see the performance due to organizational bureaucracy and insufficient ML infrastructure. Content selection is frequently arbitrary and subjective, further complicated by the need for Malay language translation. Goals: To help businesses reach 290 mil. Malay speakers and enter the market with ease - leveraging ML-powered personalized messaging Solutions: Our plug-in platform automates the entire cross-cultural marketing process. From website analysis to message delivery, it ensures culturally sensitive communication with Malay speakers, eliminating the need for manual translation and human intervention. Technical approaches: - Use TogetherAI to preprocessed the dataset downloaded from HuggingFace - Fine-tuned Llama 3.2 using the refined dataset via TogetherAI - Used LlamaIndex to template prompts and execute the model

Memoir AI

Memoir AI is an innovative photo album assistant designed to revolutionize how we interact with our digital memories. Leveraging advanced artificial intelligence, Memoir AI offers a seamless, conversational interface that allows users to effortlessly search through their extensive photo collections. Users can upload entire photo albums, which are then meticulously organized and indexed by the AI, making it easier than ever to find specific moments. The app's intuitive design supports bulk uploads, ensuring that users can quickly and efficiently manage their photo libraries. With features like AI-driven tagging, facial recognition, and natural language search capabilities, Memoir AI not only enhances the accessibility of your photos but also adds a layer of personalization by allowing users to name and categorize faces within their albums. Our platform aims to provide a user-friendly experience, complete with the ability to integrate future features like linking to Google Photos and Apple Photos for even broader access. Through Memoir AI, we envision a future where your precious memories are always at your fingertips, organized and accessible through simple, conversational queries.

ClusterUp

I want to create a Connectors marketplaces between vectorized database like MongoDB and some complicated data querying platforms like Redpanda or Confluent. So I first trained my data and used server-less encoder to do RAG, and then in order to create a better environment node deployment processes to make any event faster. Based on this, the front end is wanting to create the marketplace assistant out and it is gong to be web application where people can find the API created uniquely and go ahead and deploy their own stuff. This idea comes into the difficulties I was running into when building RAG and trying to train my own LLM to do vertical or horizontal training and searching to anti-deepfakes.

Autilent

Autilent is a smart solution that is capable of automatically detecting high risk situations during driving and then helps eliminate them. A special device powered by autilent's proprietary AI algorithms is installed inside the cabin of the vehicle. This device has two cameras, driver facing and road facing. The video feed is analysed in realtime by our in-car processor and the system then detects potential accident-causing actions e.g distractions, drowsiness, mobile phone usage etc. Realtime alerts are then generated to warn the drivers and alert the command and control centres in order to take preventative action. Additionally, we also offer data driven insights into every individual driver's behaviour and give hyper-personalised recommendations in order to bring a positive change in the driver behaviour and make them safer on the roads. We are on a mission to save lives and resources and look forward to your support in this. In the demo, please select the dates 1-15th March, and the driver: Saad Farooq, and in the vehicle section, KSA-006

Weaviate Blogs QA Chatbot prototype

[Weaviate Blogs QA Chatbot Prototype by R2 Rapid Response Team] Providing users simple question answering chatbot interface over Weaviate's blogs posted in 2023 to catch up on vector database and generative AI trends and get relevant information grounded on Weaviate's excellent blog postings in 2023 as a data source. LangChain template is used for rapid prototyping with LangServe and LangSmith for production ready prototype build. Hybrid search offers best part of both world by offering a combination of keyword search and semantic search on top of Cohere's Reranker to provide optimum search results and improve user experience. Future roadmap includes front end UI for end users with a feedback loops as documented in one of Weaviate's blog posting. Behind the scenes, we've turbocharged this rapid prototype with Weaviate's hybrid search capabilities. The combination of semantic and keyword search surfaces optimum results from the corpus of blog content. In addition, Cohere's reranker helps picking the best excerpts. The rapid prototype was possible thanks to LangChain templates, LangServe, and LangSmith. This allows us to deliver a production-ready user experience on an accelerated timeline. Looking ahead, our roadmap includes building out a frontend UI for end users and implementing feedback loops to continuously improve the experience. But even in its current form, this prototype enables anyone to tap into Weaviate's blogs like never before. Just ask a question, and the knowledge is at your fingertips. In closing, I'm excited by the potential for this conversational interface to open up new ways to share Weaviate's thought leadership. Thank you for considering our Weaviate Blogs QA Chatbot submission. I welcome any questions you may have. Thank you.

FitMate AI - Falcon ARG

FitMateAI is more than just a fitness web app. It's a wellness companion that harnesses the power of cutting-edge AI to redefine how individuals approach their fitness and nutrition journey. Our platform provides users with highly personalized workout programs and expert dietary plans, meticulously crafted based on their unique inputs. Our mission is to empower individuals to take charge of their fitness and wellness goals through the guidance of intelligent technology. We recognize that the fitness industry bombards people with generic workout routines and nutrition advice, and this can be frustrating and counterproductive, leading to plateaus and, in some cases, the abandonment of fitness routines. In a world where health and wellness are increasingly paramount, FitMateAI provides the perfect solution. It's not just about attaining initial fitness objectives; it's about sustaining well-being in the long run.