GPT-3
California-based SambaNova Systems recently announced the launch of its own GPT language model to be available in a data-as-a-service model.
MT-NLG has 3x the number of parameters compared to the existing largest models – GPT-3, Turing NLG, Megatron-LM and others.
Generative Pre-trained Transformer 3, or GPT-3, is an autoregressive language model that can produce human-like…
PLATO-XL is trained on a high-performance GPU cluster with 256 NVIDIA Tesla V100 32G GPU cards.
Researchers at the University of Oxford and OpenAI have recently created a dataset called TruthfulQA that contains questions some humans might answer incorrectly due to false beliefs or misconceptions.
Primer’s improvements can be attributed to two simple modifications — squaring ReLU activations and adding a depthwise convolution layer after each Q, K, and V projection in self-attention.
GSLM uses the latest breakthroughs in representation learning, allowing it to work directly from raw audio signals, without any text or labels.
Snippet: Copilot is based on the OpenAI Codex family of models. Codex models begin with a GPT-3 model, and then fine-tune it on code from GitHub.
Compared to most other machine learning models, foundation models are characterised by a vast increase in training data and complexity
With its 178 billion parameters, Jurassic-1 is slightly bigger (3 billion more) than GPT-3.
Language Models trained on large, uncurated, static datasets from the Web encode hegemonic views that are harmful to marginalised populations.
AI21 Studio allows developers to easily customise a private version of Jurassic-1 models, shortening time to production and lowering costs.
