Bringing open intelligence to all, our latest models expand context length, add support across eight languages, and include Meta Llama 3.1 405B— the first frontier-level open source AI model.

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In this article, we will understand the concept of Large Language Models (LLMs) and their importance in natural language processing.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

The implementation of DeBERTa. Contribute to microsoft/DeBERTa development by creating an account on GitHub.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Facebook AI’s RoBERTa is a new training recipe that improves on BERT, Google’s self-supervised method for pretraining natural language processing systems. By training longer, on more data, and dropping BERT’s next-sentence prediction RoBERTa topped the GLUE leaderboard.

How Huawei PanGu-Alpha is Revolutionizing AI and Machine Learning TS2 SPACE

LG AI Research has unveiled EXAONE 2.0, a hyperscale artificial intelligence (AI) language model that can be used for expert applications in the development of new materials or medicines. During LG’s AI Talk Concert event

A powerful language model, with an API that makes you smile

Pre-trained models have achieved state-of-the-art results in various Natural Language Processing (NLP) tasks. Recent works such as T5 and GPT-3 have shown that scaling up pre-trained language...

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

A set of 3 decoder-only LLMs with 125M, 1.3B, and 2.7B parameters trained on the Pile.

Our API platform offers our latest models and guides for safety best practices.

Meta AI Research released Open Pre-trained Transformer (OPT-175B), a 175B parameter AI language model. The model was trained on a dataset containing 180B tokens and exhibits performance comparable with GPT-3, while only requiring 1/7th GPT-3's training carbon footprint.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Contribute to google-research/multilingual-t5 development by creating an account on GitHub.

In this article, we'll explore the architecture and mechanisms behind Google’s T5 Transformer model, from the unified text-to-text framework to the comparison of T5 results.

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PaLM 2 - Google’s next generation large language model.

The Generalist Language Model GLaM is a mixture of experts (MoE) model, a type of model that can be thought of as having different submodels (or expert...

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Scaling to Trillion Parameter Models with Simple and Efficient Sparsity *In deep learning, models typically reuse the same parameters for all inputs. Mi...

A GPT-3 rival by Deepmind Researchers at DeepMind have proposed a new predicted compute-optimal model called Chinchilla that uses the same compute budge...

280 Billion Parameters Language model DeepMind’s language model, which it calls Gopher, is significantly more accurate than these existing ultra-large ...