Upstage Team

Just like a car needs fuel to move and a recipe requires ingredients to make a meal, artificial intelligence systems also need their own kind of fuel and materials, which is data. Explore the practical applications of data in the real world through this blog.

Dataverse is a freely-accessible open-source project designed to streamline the extract, transform, and load (ETL) pipeline using Python. In this post, we delve into the origins of this project and shed light on its future prospects in the realm of open-source data processing.

Discover Evalverse: A groundbreaking framework revolutionizing Large Language Model evaluation. With its unified approach and user-friendly features, Evalverse simplifies assessment, making AI advancements inclusive and comprehensive. Explore its key features and architecture, and witness its practical application in our demonstrative video. Join us in driving innovation and accessibility in AI technology with Evalverse!

Experience the power of AI at your fingertips with Upstage's on-device LLM, WriteUp. Enjoy AI assistance for writing tasks without the need for an internet connection, thanks to advanced model optimization and quantization technologies. Perfect for remote locations, WriteUp ensures data privacy and high performance on your personal device.

What insights can be gained by examining natural language processing (NLP) through a data-centric perspective? Explore our blog post that delves into the 70-year history of AI, covering rule-based systems, machine learning, deep learning, and the recent emergence of large language models.

Introducing "SAAS: Solving Ability Amplification Strategy for enhanced mathematical reasoning in Large Language Models," a groundbreaking research paper by Upstage AI, Mathpresso Inc., and KT Corp. This novel approach leverages sequential learning, combining Chain-of-Thought (CoT) and Program-of-Thought (PoT) methodologies to significantly boost the mathematical reasoning and problem-solving skills of Large Language Models (LLMs). Our findings show that SAAS achieves state-of-the-art performance on benchmarks like GSM8K and MATH, outperforming larger models and setting new standards in AI-driven mathematical reasoning. Discover how SAAS can elevate your LLM’s capabilities.

Experience the next leap in embedding technology with Solar Embedding-1-Large: Our groundbreaking Solar Embedding-1-Large model is set to transform your work processes. With superior performance compared to OpenAI's models and a commitment to tackling even the toughest tasks, it's time to elevate your search systems and beyond.

We are thrilled to announce that Solar mini chat now includes Japanese, alongside English and Korean. Specially fine-tuned for multi-turn chat, Solar mini chat ja excels in Japanese language interactions, offering high performance and an enhanced user experience. Ideal for applications demanding nuanced and context-aware communication, it surpasses many open-source models in key NLP tasks. Seamlessly integrate it with your existing API keys and elevate your Japanese chat applications!

Fine-tuning Large Language Models (LLMs) is crucial for customizing AI to meet specific business needs. This blog delves into the two primary types of fine-tuning: instruction tuning, which enhances a model's ability to follow complex commands, and alignment tuning, which ensures outputs align with human values. By understanding these processes, businesses can effectively leverage AI for customer support, content creation, and more.

Discover how enterprises can build an internal RAG application using Solar LLM and MongoDB Atlas to improve employees' access to information and boost work productivity.

Introducing Solar LLM, the best LLM for fine-tuning that beats GPT-4! Delve into the details on why Solar LLM excels in fine-tuning and explore a fast, reliable, and cost-effective platform for developers to fine-tune the Solar model.

Deploying Solar with BentoML offers a seamless solution for enterprises seeking powerful, cost-efficient large language model (LLM) deployment. Learn how to leverage Solar's compact yet potent 10.7B model with BentoML's deployment capabilities, ensuring optimal performance and scalability. Explore the integration steps and unlock the potential of Solar for your AI initiatives.

Open Ko-LLM Leaderboard, a unique platform designed to assess and evaluate Korean language models, has achieved a remarkable milestone by evaluating over 600 models. Check out the interview with Upstage’s LLM engine team to gain insights from the very masterminds behind the achievement.

Through our interview with Choi, we'll delve into the success stories of our top life insurance clients and explore how Upstage's Document AI and OCR services are expanding the AI ecosystem through various opportunities and challenges.

Upstage team dominated four categories at the international conference on Document Analysis and Recognition (ICDAR) 2023, including HierText-1/2, VQAonBD, and IHTR. Discover their inspiring story behind this remarkable achievement in the world's most renowned AI OCR challenge, outperforming even the global tech giants.

Explore essential blogging practices that can enhance your content's reach and engagement.