Upstage AI technology page Top Builders

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

Upstage

Upstage is a leading AI technology company based in South Korea focused on advancing the capabilities of AI models to enhance business operations. Founded with a mission to achieve Artificial General Intelligence (AGI) for work, Upstage develops cutting-edge AI solutions that cater to various business needs. The company's two flagship products are Solar LLM and Document AI.

General
Author	Upstage
Release Date	October 2020
Website	https://www.upstage.ai/
Documentation	https://developers.upstage.ai/docs/getting-started/quick-start

Products

Solar LLM

Solar LLM is a high-performance large language model designed for a variety of applications. Built on a foundation that includes a 32-layer architecture derived from LLaMA 2 and pre-trained with Mistral 7B weights, Solar LLM is known for its efficiency and multilingual capabilities, particularly excelling in English, Korean, and Japanese. The model employs a unique depth up-scaling (DUS) technique, making it compact yet powerful enough to outperform other models, even rivaling GPT-4 in specific domains. Solar LLM is particularly suitable for businesses looking to implement reliable and efficient AI solutions, as it integrates seamlessly with tools like Amazon SageMaker for rapid deployment.

Document AI

Document AI is another core product from Upstage, focused on transforming unstructured documents into structured data that AI systems can easily interpret. This product includes advanced Optical Character Recognition (OCR) and Layout Analysis tools, enabling businesses to extract and organize information from complex documents, including tables and figures. Document AI ensures that the data fed into AI models is of high quality, significantly improving the accuracy and reliability of AI-driven decisions. It is particularly useful in preparing data for integration with models like Solar LLM, making it a crucial tool for businesses that need to process large volumes of documents efficiently.

Key Features

High-Performance AI Models: Upstage’s Solar LLM is a compact, multilingual model that competes with larger models like GPT-4. It uses innovative depth up-scaling (DUS) for superior efficiency and accuracy.
Document AI: This toolset offers advanced OCR and Layout Analysis to transform unstructured documents into structured data, optimizing AI processing.
Cloud Integration: Upstage’s AI solutions integrate seamlessly with platforms like Amazon SageMaker, enabling easy deployment and scalability.
Industry Recognition: Solar LLM ranks highly on AI leaderboards, showcasing Upstage's competitive edge.
Continuous Innovation: Upstage focuses on improving AI reliability with features like Groundedness Check, reducing errors and enhancing output quality.

Start Building with Upstage

Upstage empowers businesses to leverage cutting-edge AI technologies to enhance their operations and decision-making processes. With its easy-to-integrate solutions, companies can deploy their flagship model Solar LLM and utilize advanced document processing tools to automate workflows. Whether you are looking to build custom AI solutions or integrate pre-built models, Upstage offers the flexibility and scalability you need. Explore community-built use cases and applications to unlock the full potential of Upstage’s AI technologies.

👉 Upstage Playground

👉 Start building with Upstage

👉 Upstage Console

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Upstage AI technology page Hackathon projects

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

psycribe

With Psyscribe we are solving this problem with Generative AI. We make it possible for Psychotherapists to save on the costs of hiring a virtual assistant and let our application do the note-taking. The initial version of our app takes transcriptions of the conversation between the patient and the counsellor and generates intelligent notes in SOAP format. As of now psychotherapists come to our website and register themselves. After registration, they are prompted to create a session where they enter the details of their clients. Once they enter the client details they upload a file containing the transcription of the conversation between them and their clients. Google Gemini evaluates the transcript and with a bit of fine-tuning, we generate notes that are specialized for the use cases of psychotherapists. The users can see all their sessions on the dashboard grouped by the client where they have access to all of their notes. We are using MongoDB the primary database and NextJS to interface with the database and render the UI.

SocialSwarm

Introducing Social Swarm: Amplify Your Voice to the World Everyone has something meaningful to share, but in today's digital landscape, only a few manage to get their messages heard. The hurdles? Time-consuming content creation, specialized skills, and deciphering ever-changing social media algorithms. Enter Social Swarm—a revolutionary agent system that empowers everyone to share their thoughts effortlessly. Effortless Content Creation: Simply provide the subject or message you want to share, and our intelligent agents handle the rest. Engaging Posts: Utilizing advanced prompting techniques and an agentic workflow, Social Swarm crafts posts that are not only compelling but also optimized for engagement. Factual Accuracy & High Engagement: We validate all content for accuracy and assess its potential to engage your audience effectively. Continuous Learning: Through social media monitoring and user feedback, Social Swarm learns and adapts to become even more efficient at spreading your message. Unlock your potential and let your voice be heard with Social Swarm. Share effortlessly, engage authentically, and make an impact.

Reflect Discover Jarvis - RDJ

RDJ (Reflect Discover Jarvis) is a web application that merges AI technology with psychological principles to create a unique platform for personal growth and self-discovery. The project utilizes advanced language models to generate personalized assessments, analyze user responses, and provide tailored insights. Users can explore their personality traits, emotional states, and potential areas for growth through interactive questionnaires and guided reflections. The application features a dynamic visual experience with AI-generated shader animations that respond to user input and mood, creating an immersive and engaging environment for self-exploration. AI chat support offers users guidance and clarification throughout their journey. RDJ aims to make professional-level psychological insights and personal development tools accessible to a wide audience, addressing the growing need for mental health and self-improvement resources in the digital age. The scalable architecture and continuous improvement cycle ensure that RDJ can evolve and adapt to user needs, potentially expanding into various sectors such as education, corporate wellness, and healthcare.

AI Career Navigator

Problem Job seekers struggle with interview preparation, resume optimization, and improving their LinkedIn profiles. Existing tools lack personalization and actionable feedback. Solution AI Career Navigator uses intelligent agents to help users with: Interview question generation Resume screening LinkedIn profile optimization Technical problem-solving Market Size The global online recruitment market was valued at $28.68 billion in 2021, with significant growth expected. Millions of job seekers require smarter tools to improve their career opportunities. Revenue Stream Freemium Model: Basic features are free, while advanced agents are part of a premium subscription. Subscription Plans: Monthly/annual for premium features. Partnerships: Collaborations with recruitment platforms. Next Steps/Backlogs Expand AI agents to cover more job roles. Integrate job-matching features. Launch a mobile version.

Moody

Introducing Moody, a revolutionary application crafted to lift your spirits and bring a spark of joy when you're feeling down. Whether you're grappling with stress, battling sadness, or just enduring a challenging day, Moody is your go-to companion for revitalizing your mood and restoring your sense of well-being. Moody is designed with a deep understanding of the emotional spectrum, offering a diverse array of personalized tools and features to cater to your unique needs. The app provides soothing, handpicked music to calm your mind, uplifting quotes to inspire positivity, and engaging activities tailored to boost your mood. Simply share how you're feeling with Moody, and it will offer tailored suggestions to brighten your day. Whether you need calming melodies to ease your mind, positive affirmations to lift your spirits, or light exercises to invigorate your body, Moody has you covered. Each feature is thoughtfully designed to bring comfort, joy, and a renewed sense of peace into your daily life. Moody isn’t just an app; it’s a companion that listens, understands, and supports you through every emotional wave. Embrace the journey to a happier, more balanced you with Moody—your personal mood-enhancing partner.

HardwareAgents

Creating any hardware project requires a lot of time to source parts and even more time to make them work together. In the future, everyone will be an engineer, as long as they have ideas they want to bring to life. The market for creating new engineering tools isn’t just for engineers—it’s for all builders, it’s for everyone. AI agents can help close the gap between ideas and reality. Every engineer will gain more agency. The future of engineering tools isn’t about targeting only engineers, but anyone capable of generating ideas. These tools will be simple to use, expanding the market. Deep tech is just at the beginning. What does the future look like? Every corporation will have agents acting as communication proxies for what they are building. We’ll need to create new CAD tools and redefine standards so they become AI-native. One application will contain everything—components, power analysis, aerodynamics, performance, signal analysis, and more. The next step for this project is to fine-tune Llama on a wide range of datasheets. I’ve started this, but finding high-quality data takes time. If you fine-tune a model on bad data, it’s often better just to use prompt engineering instead.