OpenAI Residency
OpenAI launches a Residency program to develop AI talent. Initiative to support early-career researchers and engineers.
7 articles
OpenAI launches a Residency program to develop AI talent. Initiative to support early-career researchers and engineers.
Hugging Face releases integration guide for Transformers with IPUs (Graphcore) via Optimum library. Enables accelerated inference and training of models on specialized processors.
Hugging Face releases an interactive Data Measurements Tool to analyze datasets. The tool enables exploration of dataset characteristics, quality, and potential biases for datasets hosted on the platform.
Hugging Face and Intel optimize distributed PyTorch training using Intel technologies (Xeon processors, oneAPI). Performance improvements for multi-node CPU fine-tuning of language models.
OpenAI's API is now available without a waitlist. This wider availability is enabled by safety progress.
Hugging Face publishes a guide to fine-tune XLSR-Wav2Vec2, a multilingual speech recognition model, for low-resource languages. Uses the Transformers library to adapt the pre-trained model with limited data.
Hugging Face releases part 2 of a series on optimizing BERT-like model inference on modern CPUs. Focus on scaling techniques and production performance gains.