AI Generated Text
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A AI Generated Text is a text that is produced by an AI text-generation systems.
- Context:
- It can range from being Short Generated Text (e.g., sentences or paragraphs) to being Long Generated Text (e.g., articles or books).
- It can range from being Task-Specific Generated Text (e.g., answering questions or summarizing documents) to being Open-Ended Generated Text (e.g., creative writing or free-form dialogue).
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- It can be a key component in various NLP tasks and NLG applications.
- It can be produced by various AI models, including Large Language Models, Neural Networks, and other Natural Language Processing systems.
- It can be influenced by Input Prompts, Training Data, and Model Architecture.
- It can exhibit varying degrees of coherence, fluency, and factual accuracy.
- It can be used in applications such as Chatbots, Content Creation, Language Translation, and Text Summarization.
- It can pose challenges related to AI Ethics, Copyright Issues, and Misinformation spread.
- It can be subject to both Human-Centric Evaluation and Automatic Evaluation Metrics.
- It can be improved through techniques like Fine-Tuning, Prompt Engineering, and Post-Processing.
- It can sometimes contain Hallucinated Content or Biased Information reflecting limitations of the generating system.
- It can be a central topic in NLP research, particularly in improving generation quality and evaluation methods.
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- Example(s):
- AI-Written News Article: A news report automatically composed by an AI system based on data inputs.
- Chatbot Response: A reply generated by an AI assistant in response to a user query.
- Machine Translation Output: A text translated from one language to another by an AI system.
- AI-Generated Story: A fictional narrative created by an AI model trained on literary works.
- Automated Summary: A concise version of a longer document produced by an AI summarization tool.
- Patent Claim Generation: Automatically generated patent claims based on invention descriptions.
- Domain-Specific Generated Text, such as:
- Legal-Domain Generated Text: AI-generated legal documents, contracts, or case summaries.
- Medical-Domain Generated Text: AI-generated patient reports, drug descriptions, or medical research summaries.
- Financial-Domain Generated Text: AI-generated financial reports, market analyses, or investment recommendations.
- Technical-Domain Generated Text: AI-generated software documentation, technical manuals, or bug reports.
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- Counter-Example(s):
- Manually Written Text: Content directly authored by a human without AI generation.
- Transcribed Speech: Text produced by converting spoken words to text, which is not generation but conversion.
- OCR Output: Text produced by recognizing characters in images, which is also conversion rather than generation.
- Template-Based Text: Pre-written text with only specific fields filled in automatically.
- See: Natural Language Generation, Text Generation Model, AI Writing Assistant, Content Generation, Procedural Text Generation, Language Model, Text-to-Text Generation, GPT (Generative Pre-trained Transformer), BERT (Bidirectional Encoder Representations from Transformers), Transformer Architecture, Intrinsic Natural Language Generation (NLG) Performance Measure, Extrinsic NLG Performance Measure, Heuristic Natural Language Generation (NLG) Performance Measure, Automatic Natural Language Generation (NLG) Performance Measure.