Transformers-for-NLP-2nd-Edition

Transformers-for-NLP-2nd-Edition

Denis2054

Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E, Google Cloud AI,HuggingGPT, and more

908 Stars
344 Forks
908 Watchers
Jupyter Notebook Language
mit License
Cost to Build
$491.4K
Market Value
$1.92M

Growth over time

2 data points  ·  2023-07-01 → 2025-08-01
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What is the Denis2054/Transformers-for-NLP-2nd-Edition GitHub project? Description: "Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E, Google Cloud AI,HuggingGPT, and more ". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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