Using GPT-2 to generate Tweets
Last summer I blogged about using a Deep Neural Network to generate tweets but only used 3200 of my tweets. Since then I've used Twitter's archive mechanism to retrieve ALL my tweets (just over 30,000) to train a network. Not any old network - the GPT-2 model from OpenAI. This 'finetuning' of an existing...
Gaining insights with Natural Language Processing of Reddit Data to Evaluate Dermatology Patient Experiences and Therapeutics.
Gaining insights with Natural Language Processing of Reddit Data to Evaluate Dermatology Patient Experiences and Therapeutics. "There is a lack of research studying patient-generated data on Reddit, one of the world’s most popular forums with active users interested in dermatology. Techniques within...
Source: sciencedirect.com
Improving Language Understanding with Unsupervised Learning: We've obtained state-of-the-art results on a suite of diverse
Improving Language Understanding with Unsupervised Learning: We've obtained state-of-the-art results on a suite of diverse language tasks with a scalable, task-agnostic system, which we're also releasing. Our approach is a combination of two existing ideas: transformers and unsupervised pre-training....
Source: openai.com
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