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  - Text-Generation
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  ---
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- # SCRIPTGPT
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- Pretrained model on the English language using a causal language modeling (CLM) objective. It was introduced in
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- [this paper](https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf)
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- and first released at [this page](https://openai.com/blog/better-language-models/).
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- ## Model description
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  ScriptGPT is a language model trained on a dataset of 5,000 YouTube videos that explain artificial intelligence (AI) concepts.
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  ScriptGPT is a Causal language transformer. The model resembles the GPT2 architecture,
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  the model is a Causal Language model meaning it predicts the probability of a sequence of words based on the preceding words in the sequence.
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  This can be useful for content creators who are looking for inspiration or who want to automate the process of generating video scripts.
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  To use ScriptGPT, users can provide a prompt or a starting sentence, and the model will generate a sequence of words that follow the context and style of the training data.
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- The current model is the smallest one with 124 million parameters (ScriptGPT)
 
 
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  More models are coming soon...
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- ## Intended uses
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  The intended uses of ScriptGPT include generating scripts for videos that explain artificial intelligence concepts, providing inspiration for content creators, and
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  automating the process of generating video scripts.
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- ## How to use
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  You can use this model directly with a pipeline for text generation.
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  1. __Load Model__
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  ```
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  <p style="opacity: 0.8">Keeping the context more technical and related to AI will generate better outputs</p>
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- ## Limitations and bias
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  > The model is trained on Youtube Scripts and will work better for that. It may also generate random information and users should be aware of that and cross-validate the results.
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  The used is linked [here](https://www.kaggle.com/datasets/jfcaro/5000-transcripts-of-youtube-ai-related-videos)
 
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  - Text-Generation
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  ---
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+ # ScriptGPT
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+ ## πŸ–ŠοΈ Model description
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  ScriptGPT is a language model trained on a dataset of 5,000 YouTube videos that explain artificial intelligence (AI) concepts.
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  ScriptGPT is a Causal language transformer. The model resembles the GPT2 architecture,
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  the model is a Causal Language model meaning it predicts the probability of a sequence of words based on the preceding words in the sequence.
 
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  This can be useful for content creators who are looking for inspiration or who want to automate the process of generating video scripts.
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  To use ScriptGPT, users can provide a prompt or a starting sentence, and the model will generate a sequence of words that follow the context and style of the training data.
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+ Models
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+ - [Script_GPT]() : AI content Model
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+ - [ScriptGPT-small]() : Generalized Content Model
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  More models are coming soon...
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+ ## πŸ›’ Intended uses
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  The intended uses of ScriptGPT include generating scripts for videos that explain artificial intelligence concepts, providing inspiration for content creators, and
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  automating the process of generating video scripts.
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+ ## πŸ“ How to use
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  You can use this model directly with a pipeline for text generation.
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  1. __Load Model__
 
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  ```
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  <p style="opacity: 0.8">Keeping the context more technical and related to AI will generate better outputs</p>
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+ ## 🎈Limitations and bias
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  > The model is trained on Youtube Scripts and will work better for that. It may also generate random information and users should be aware of that and cross-validate the results.
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  The used is linked [here](https://www.kaggle.com/datasets/jfcaro/5000-transcripts-of-youtube-ai-related-videos)