Overview

  • Solar Pro Preview: The most intelligent LLM on a single GPU

  • Upstage Document Parse: Let LLMs read your documents with speed and accuracy

LLM Trend Report (2024 Q2)
Insight (전영훈) YoungHoon Insight (전영훈) YoungHoon

LLM Trend Report (2024 Q2)

Discover the latest advancements in Large Language Models (LLMs) and their integration into business operations in our 2024 Summer LLM Trend Report. Explore essential technologies such as Optical Character Recognition (OCR), Layout Analysis (LA), and Retrieval-Augmented Generation (RAG) systems. Learn from real-world use cases and gain insights to leverage these innovations for maximizing the potential of LLMs in your business.

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Open Source LLM and the Ecosystem of Korean LLM
Insight Hailey(박성민) . Insight Hailey(박성민) .

Open Source LLM and the Ecosystem of Korean LLM

Open-source Large Language Models (LLMs) are causing a profound transformation in the AI market landscape and ecosystem. Explore our blog, where we delve deep into the rise of open-source LLMs and their influence on democratizing access to cutting-edge generative AI.

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Three issues with handling data in AI models (Data! Data! Data!)
Insight Hailey(박성민) . Insight Hailey(박성민) .

Three issues with handling data in AI models (Data! Data! Data!)

Data is frequently mentioned in AI model development for service improvement. While discussing models and optimization methods can be found in school lessons and online lectures, it is difficult to find methodologies related to data in practice because the task is challenging. Now, let's take a closer look at the reasons why data-related tasks are difficult when developing AI models.

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