BERT 101 - State Of The Art NLP Model Explained
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Noticias de IA
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Fine-Tune ViT for Image Classification with 🤗 Transformers
Solving (some) formal math olympiad problems
Making automatic speech recognition work on large files with Wav2Vec2 in 🤗 Transformers
Aligning language models to follow instructions
Text and code embeddings by contrastive pre-training
WebGPT: Improving the factual accuracy of language models through web browsing
Fine-Tune XLSR-Wav2Vec2 for low-resource ASR with 🤗 Transformers
Scaling up BERT-like model Inference on modern CPU - Part 2
Solving math word problems
Train a Sentence Embedding Model with 1B Training Pairs
Fine tuning CLIP with Remote Sensing (Satellite) images and captions
Summarizing books with human feedback
TruthfulQA: Measuring how models mimic human falsehoods
Deep Learning over the Internet: Training Language Models Collaboratively
Evaluating large language models trained on code
Improving language model behavior by training on a curated dataset
Scaling-up BERT Inference on CPU (Part 1)
Understanding BigBird's Block Sparse Attention
Hugging Face Reads, Feb. 2021 - Long-range Transformers
Multimodal neurons in artificial neural networks
Simple considerations for simple people building fancy neural networks
Understanding the capabilities, limitations, and societal impact of large language models
Leveraging Pre-trained Language Model Checkpoints for Encoder-Decoder Models
Transformer-based Encoder-Decoder Models
Block Sparse Matrices for Smaller and Faster Language Models
Generative language modeling for automated theorem proving
Learning to summarize with human feedback
Image GPT
Language models are few-shot learners