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Easily train and use PyTorch models with multi-GPU, TPU, mixed-precision. We’re on a journey to advance and democratize artificial intelligence through open source and open science.
In this section, we explore the top 10 open-source AI tools and platforms recognized for their capacity to drive innovation, facilitate collaboration, and offer learning avenues across diverse domains. These platforms empower users to leverage AI’s substantial potential effectively. 1. TensorFlow.
An end-to-end open source machine learning platform for everyone. Discover TensorFlow's flexible ecosystem of tools, libraries and community resources.
evals Public. Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks. Python 13.9k 2.5k. openai-python Public. The official Python library for the OpenAI API. Python 20k 2.7k. tiktoken Public. tiktoken is a fast BPE tokeniser for use with OpenAI's models. Python 9.9k 678.
Try DALL·E. In January 2021, OpenAI introduced DALL·E. One year later, our newest system, DALL·E 2, generates more realistic and accurate images with 4x greater resolution. DALL·E 2 is preferred over DALL·E 1 when evaluators compared each model. 71.7% preferred for caption matching. 88.8% preferred for photorealism. A focus on safety.
Open-source artificial intelligence is the application of open-source practices to the development of artificial intelligence resources. Many open-source artificial intelligence products are variations of other existing tools and technologies which have been shared as open-source software by large companies. [1]
Nov 8, 2023 · Octoverse: The state of open source and rise of AI in 2023. In this year’s Octoverse report, we study how open source activity around AI, the cloud, and Git are changing the developer experience. Authors. Kyle Daigle GitHub Staff. November 8, 2023. What does it mean for a new technology to go mainstream?
