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README.md
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- Text-Generation
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---
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#
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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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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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## ποΈ 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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## π 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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## π 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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## πLimitations 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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