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
AuthorUpstage
Release DateOctober 2020
Websitehttps://www.upstage.ai/
Documentationhttps://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

Upstage AI technology page Hackathon projects

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

Legal Buddy

Legal Buddy

Today’s litigators are expected to quickly make well-informed decisions and develop strong strategies and a big-picture perspective. To accomplish these goals in shorter time frames, we present Legal Buddy to streamline the document review and analysis process. Legal Buddy gives attorneys more time for strategic planning by providing a report with an overview of the case, a liability analysis, a case analysis, applicable laws and defenses, damages, and recommendations for the case. The attorney (user) can upload medical records or summaries, witness statements, deposition transcripts or summaries, pleadings, and other legal documents, notes, or summaries and the system will use Upstage's Document OCR to extract text from the documents. Then, the Llama model summarizes all the text and the text is given to the OpenAI's o1 LLM to generate a liability analysis and report. Additionally, we stored a data set of U.S. case law on MongoDB using LlamaIndex and enabled a vector search to find the relevant cases for the case analysis feature. The system matches information from our specific case from the uploaded documents with other cases from the data set of U.S. case law. OpenAI's o1 reasoning is used to generate case analysis and the case analysis is included in the report. There is currently a resource limit on the length of the documents that can be uploaded and the amount of cases that can be stored, so for now we are uploading summaries of legal documents instead of the actual documents and the data set we are storing is a sub-set (about 500 cases) of the entire U.S. case law data set. We would like to have more processing and storage functionality, but that just wasn't feasible for this hackathon. For the future, we would like the user to interact with live data from a data source (i.e. Westlaw, LexisNexis) instead of a data set. We would also like the user to query case information through a chat interface.