Azure OpenAI Service
Apply advanced coding and language models to a variety of use cases.
Alimentez vos applications avec des modèles d'IA à grande échelle.
Tirez parti de modèles d'IA génératifs à grande échelle avec une compréhension approfondie du langage et du code pour permettre de nouvelles capacités de raisonnement et de compréhension pour la création d'applications de pointe. Appliquez ces modèles de codage et de langage à une variété de cas d'utilisation, tels que l'aide à l'écriture, la génération de code et le raisonnement sur les données. Détectez et atténuez les utilisations nuisibles grâce à l'IA responsable intégrée et accédez à la sécurité Azure de niveau entreprise.
What is Azure OpenAI Service? - Azure Cognitive Services | Microsoft Learn
Azure OpenAI Service provides REST API access to OpenAI's powerful language models including the GPT-3, Codex and Embeddings model series. These models can be easily adapted to your specific task including but not limited to content generation, summarization, semantic search, and natural language to code translation. Users can access the service through REST APIs, Python SDK, or our web-based interface in the Azure OpenAI Studio.
Explain to me : State-of-the-art (SOTA) large language models (LLM)
State-of-the-art (SOTA) large language models (LLMs) are a type of artificial intelligence (AI) model that are designed to understand and generate human language. These models are typically trained on massive amounts of text data, such as books, articles, and websites, using a technique known as "unsupervised learning".
SOTA LLMs have recently gained a lot of attention due to their impressive ability to generate high-quality text that is often difficult to distinguish from text written by humans. They are capable of a wide range of language tasks, including language translation, summarization, question-answering, sentiment analysis, and more.
Some examples of popular SOTA LLMs include GPT-3 (Generative Pre-trained Transformer 3), BERT (Bidirectional Encoder Representations from Transformers), and T5 (Text-to-Text Transfer Transformer). These models have been developed by leading AI research organizations such as OpenAI and Google.
SOTA LLMs have the potential to revolutionize natural language processing (NLP) and have a wide range of applications in fields such as chatbots, virtual assistants, content creation, and more. However, they also raise concerns about issues such as bias and privacy, which need to be addressed as these models become more widely used.
Pierre Erol GIRAUDY
http://about.me/giraudyerol
