Microsoft Turing-NLG is a natural language generation model developed by Microsoft, designed to generate human-like text based on given prompts. It can perform tasks such as text completion, summarization, translation, and question answering.
Top 5*
Large Language Models (LLMs)
About Microsoft Turing-NLG
Microsoft Turing-NLG was developed by Microsoft and released in February 2020. It was created to advance the capabilities of natural language generation, enabling more accurate and coherent text generation for various applications such as chatbots, content creation, and automated summarization.
Strengths of Microsoft Turing-NLG include its ability to generate high-quality, coherent text and handle a wide range of language tasks. Weaknesses include potential biases in generated content and high computational resource requirements. Competitors include OpenAI's GPT-3 and Google's BERT.
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How to hire a Microsoft Turing-NLG expert
A Microsoft Turing-NLG expert must have skills in natural language processing, machine learning, and deep learning. Proficiency in programming languages such as Python, experience with frameworks like PyTorch or TensorFlow, and knowledge of transformer models are essential. Familiarity with cloud platforms like Azure for deployment is also important.
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USA
$ 224K
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$ 97K
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