Nvidia's Nemotron-4 340B revolutionizes synthetic data generation for training large language models, empowering businesses across industries to create powerful, domain-specific LLMs.

This is fast. Chrome running Gemini locally on my laptop. 2 lines of code.

We introduce Florence-2, a novel vision foundation model with a unified, prompt-based representation for a variety of computer vision and vision-language tasks. While existing large vision models...

Gemma 2, our next generation of open models, is now available globally for researchers and developers.

Google Gemma 2 is a high-performing and efficient model available in three sizes: 2B, 9B, and 27B.

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Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks - adithya-s-k/omniparse

Armand Ruiz has revealed the entirety of its comprehensive 6.48 TB dataset used to train Granite 13B.

Run open-source AI models locally on your device. GPT4All delivers private, high-performance AI with no cloud required—your data stays on your machine.

Explore these resources to help you get started on your agentic AI journey. Build with leading open mod

Follow this step-by-step guide to create a custom AI application using BentoML, LangChain and MyScaleDB.

In this article, we will explore 12 leading open-source, no-code tools on GitHub, each distinguished...

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Bringing open intelligence to all, our latest models expand context length, add support across eight languages, and include Meta Llama 3.1 405B— the first frontier-level open source AI model.