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Fine-Tune Wav2Vec2 for English ASR in Hugging Face...
Hugging Face Reads, Feb. 2021 - Long-range Transfo...
Multimodal neurons in artificial neural networks
Simple considerations for simple people building f...
Retrieval Augmented Generation with Huggingface Tr...
Hugging Face on PyTorch / XLA TPUs
Understanding the capabilities, limitations, and s...
Faster TensorFlow models in Hugging Face Transform...
Scaling Kubernetes to 7,500 nodes
Fit More and Train Faster With ZeRO via DeepSpeed ...
How we sped up transformer inference 100x for 🤗 AP...
CLIP: Connecting text and images
DALL·E: Creating images from text
Organizational update from OpenAI
Leveraging Pre-trained Language Model Checkpoints ...
Porting fairseq wmt19 translation system to transf...
Hyperparameter Search with Transformers and Ray Tu...
Transformer-based Encoder-Decoder Models
OpenAI licenses GPT-3 technology to Microsoft
Block Sparse Matrices for Smaller and Faster Langu...
Generative language modeling for automated theorem...
Learning to summarize with human feedback
OpenAI Scholars 2020: Final projects
The Reformer - Pushing the limits of language mode...
Procgen and MineRL Competitions
Image GPT
OpenAI API
Language models are few-shot learners
AI and efficiency
Jukebox
Improving verifiability in AI development
OpenAI Microscope
How to generate text: using different decoding met...
How to train a new language model from scratch usi...
OpenAI standardizes on PyTorch
Scaling laws for neural language models
Dota 2 with large scale deep reinforcement learnin...
Deep double descent
Procgen Benchmark
Safety Gym
Benchmarking safe exploration in deep reinforcemen...
GPT-2: 1.5B release
Solving Rubik’s Cube with a robot hand
OpenAI Scholars 2020: Applications open
Fine-tuning GPT-2 from human preferences
Emergent tool use from multi-agent interaction
Testing robustness against unforeseen adversaries
GPT-2: 6-month follow-up
Learning Day
Microsoft invests in and partners with OpenAI to s...
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