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GPT Text
Official
Advanced text generation and understanding model.
Nodespell AI
AI / Text
Advanced text generation and understanding model.
Model Overview
This is a large language model capable of understanding and generating human-like text. It's designed to be versatile and can handle a wide range of natural language processing tasks.
Best At
- Creative writing (stories, poems, scripts)
- Content creation (articles, blog posts, marketing copy)
- Summarization of long texts
- Translation between languages
- Answering questions and providing explanations
- Chatbot interactions and conversational AI
Limitations / Not Good At
- Real-time performance for highly interactive applications might be a concern depending on deployment.
- May sometimes generate factually incorrect information (hallucinate).
- Handling highly specialized or niche domains without fine-tuning.
Ideal Use Cases
- Automating content generation for marketing campaigns.
- Assisting writers and journalists with drafting and ideation.
- Powering customer support chatbots.
- Creating educational materials and summaries.
- Translating documents or website content.
Input & Output Format
- Input: Primarily text.
- Output: Primarily text.
Performance Notes
- Exhibits strong performance across a variety of NLP benchmarks.
- Generally fast for most text-based tasks, but latency can vary with complexity and length of input/output.
Inputs (3)
Prompt
StringPrompt
Multi InputMin: 0Max: 100
Images
StringImages
Multi InputMin: 0Max: 100
History
StringHistory from the history output of OpenAI nodes
Min: 0Max: 100
Parameters (7)
Basic
InferredAdvanced
Inferredmodel
StringDefault:
gpt-5-nanoprompt
StringDefault:
Tell me a joke.instructions
StringDefault:
You are a helpful assistant.maxOutputTokens
NumberDefault:
1000separator
StringDefault:
Outputs (1)
Response
StringResponse
Type
Node
Status
Official
Package
Nodespell AI
Category
AI / TextInput
Text
Output
Text
Keywords
Text GenerationSummarisationTranslationReasoningClassificationExtractionSearch RetrievalStructured OutputLong Context