![]() The model was trained on the NVIDIA DGX SuperPOD-based Selene supercomputer and is one of the most powerful English language models. NVIDIA and Microsoft collaborated to create one of the largest language models with 530 billion parameters. Read: Google GLaM Vs DeepMind Gopher Megatron-Turing NLG ![]() There are smaller versions with 44 million parameters available as well for easier research. DeepMind claims that the model can beat language models 25 times its size, and compete with logical reasoning problems with GPT-3. GopherĭeepMind developed Gopher with 280 billion parameters and is specialised in answering science and humanities questions much better than other languages. During inference, the model only activates 97 billion parameters per token prediction. It is one of the largest available models with 1.2 trillion parameters across 64 experts per MoE layer. GLaMĭeveloped by Google, GLaM is a mixture of experts (MoE) model, which means it consists of different submodels specialising in different inputs. It is trained on 176 billion parameters, which is a billion more than GPT-3 and required 384 graphics cards for training, each having a memory of more than 80 gigabytes.ĭeveloped through the BigScience Workshop by HuggingFace, the language model has been trained on 46 languages and 13 programming languages and is available on different versions with lesser parameters as well. Read: These 8 Potential Use Cases of ChatGPT will Blow Your Mind! BLOOMĭeveloped by a group of over 1,000 AI researchers, Bloom is an open-source multilingual language model that is considered as the best alternative to GPT-3.
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