Analyze text using tuned lens and visualize predictions
Analyze content to detect triggers
Identify named entities in text
Explore BERT model interactions
Open LLM(CohereForAI/c4ai-command-r7b-12-2024) and RAG
Experiment with and compare different tokenizers
Similarity
List the capabilities of various AI models
Generative Tasks Evaluation of Arabic LLMs
Generate keywords from text
fake news detection using distilbert trained on liar dataset
Generate answers by querying text in uploaded documents
Search for similar AI-generated patent abstracts
Tuned Lens is an advanced text analysis tool designed to analyze and visualize predictions from state-of-the-art AI models. It enables users to gain deeper insights into textual data by leveraging fine-tuned AI models and providing intuitive visualizations. With Tuned Lens, users can seamlessly interpret complex text data and uncover hidden patterns.
What types of text can Tuned Lens analyze?
Tuned Lens supports various types of text, including articles, social media posts, and technical documents, depending on the selected AI model.
How do I customize the AI models in Tuned Lens?
Customization options vary by model, but users can typically adjust parameters or fine-tune models through the interface or external configurations.
Can I share my analysis results?
Yes, Tuned Lens allows users to export results in multiple formats, making it easy to share insights with team members or stakeholders.