Metatext
Metatext employs custom-trained Large Language Models (LLMs) for text analysis and classification, offering a no-code platform with features like text classifications, keyword identification, and efficient model training for various business processes.
Description for Metatext
Metatext utilizes custom-trained Large Language Models (LLMs) to extract and classify information from text and documents with AI assistance, addressing domain-specific challenges such as summarizing reports or categorizing customer emails.
Features of Metatext:
- No-Code Interface: Effortlessly fine-tune models with a no-code interface for customized, scalable, and private models.
- Text Classifications: Provides classifications for sentiment, topic, multi-class, intent, and binary texts.
- Keyword Identification: Identifies keywords, recognizes entities, and extracts vital information.
- LLM Fine-tuning: Fine-tunes LLMs for text generation to specific domains, beneficial for tasks like Q&A sessions and chatbot development.
- Efficient Model Training: Reduces time and effort spent on data and annotation, ensuring improved trustworthiness of models.
- Integration Options: Integrates with systems through API, Zapier, Google Sheets, Docker, AWS, and Hugging Face.
- No-Code Platform: Automates business processes with task-specific LLMs through a no-code platform.
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