OpenAI GPT-2 is a language model that generates human-like text based on the input it receives. It can perform tasks such as translation, summarization, and question-answering by predicting the next word in a sequence, making it useful for various natural language processing applications.
Top 5*
Large Language Models (LLMs)
About OpenAI GPT-2
OpenAI GPT-2 was created in 2019 by OpenAI. It was developed to advance the capabilities of language models and demonstrate the potential of large-scale unsupervised learning. The model gained attention for its ability to generate coherent and contextually relevant text, showcasing significant improvements over previous models.
Strengths of OpenAI GPT-2 include its ability to generate coherent and contextually relevant text, versatility in various NLP tasks, and large-scale pretraining. Weaknesses involve potential for generating biased or harmful content and the need for substantial computational resources. Competitors include models like Google's BERT, Facebook's RoBERTa, and later versions of OpenAI's own models such as GPT-3.
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How to hire a OpenAI GPT-2 expert
An OpenAI GPT-2 expert must have skills in natural language processing, machine learning, and deep learning frameworks such as TensorFlow or PyTorch. Proficiency in programming languages like Python is essential. Knowledge of fine-tuning language models, data preprocessing, and understanding of transformer architectures is also crucial.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
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