Building Open AI-Native Data Infrastructure
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The GitHub presence of eosphoros-ai reflects a strong commitment to building open AI-native data infrastructure. The organization maintains a variety of repositories primarily in Python, CSS, Go, TypeScript, and HTML. Notable projects include DB-GPT, an AI data assistant, and Awesome-Text2SQL, a resource hub for Text2SQL methodologies.
open-source agentic AI data assistant for the next generation of AI + Data products.
Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.
A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL
LiteIO is a cloud-native block device service that uses multiple storage engines, including SPDK and LVM, to achieve high performance. It is specifically designed for Kubernetes in a hyper-converged architecture, allowing for block device provisioning across the entire cluster.
DB-GPT WebUI,LLM to vision.
Intelligent data apps and assets with LLMs
Multi-Agents & Plugins repo for DB-GPT, Can complete various tasks around databases.
Falcon is a continuously-evolving, high-quality benchmark for natural-language-to-SQL (Text2SQL) systems.
sqlgpt-parser is a Python implementation of an SQL parser that effectively converts SQL statements into Abstract Syntax Trees (AST). By leveraging AST tree comparisons between two SQL queries, it becomes possible to achieve robust evaluation of text-to-SQL models.
Text2SQL-Eval is a Text-to-SQL evaluating component for LLM trained on an open-source training dataset.
No description provided for this repository.
A proxy for Google Bard LLM
No description provided for this repository.
DB-GPT WebSite
DataSage is the next-generation data analysis agent, the data analysis expert right at your side
DB-GPT Document website.
eosphoros-ai builds a range of projects focused on AI and data infrastructure on GitHub. Key repositories include DB-GPT for AI data assistance and Awesome-Text2SQL, which offers resources for working with large language models.
eosphoros-ai primarily uses Python, CSS, Go, TypeScript, and HTML for its projects. These languages are utilized across various repositories, reflecting the organization's diverse technical approach to AI and data solutions.
Yes, all repositories maintained by eosphoros-ai are public. This transparency allows other developers and researchers to access and contribute to their innovative work in AI and data infrastructure.
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