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Model Benchmarking
2025 AI Timeline

2025 AI Timeline

Browse and filter machine learning models by category and modality

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Calculate memory needed to train AI models

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Explore and benchmark visual document retrieval models

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Nucleotide Transformer Benchmark

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Compare code model performance on benchmarks

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Visualize model performance on function calling tasks

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OPEN-MOE-LLM-LEADERBOARD

Explore and submit models using the LLM Leaderboard

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GAIA Leaderboard

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What is 2025 AI Timeline ?

The 2025 AI Timeline is a cutting-edge tool designed for model benchmarking, enabling users to explore and analyze machine learning models across various categories and modalities. It provides a structured framework to browse, filter, and compare AI models, helping researchers and practitioners stay updated with the latest advancements in artificial intelligence up to the year 2025.


Features

• Browse by Modality: Explore models based on input/output types (e.g., text, vision, audio).
• Filter by Category: Narrow down models by application areas like NLP, computer vision, robotics, and more.
• Benchmarking Tools: Compare performance metrics of different models on standard datasets.
• Yearly Updates: Access the latest models and trends up to 2025.
• Advanced Search: Use filters like model size, parameter count, and training data sources.
• Trending Models: Discover popular and widely adopted models in the AI community.


How to use 2025 AI Timeline ?

  1. Access the Tool: Visit the platform or integrate the API into your workflow.
  2. Browse Models: Use the modality or category filters to find relevant models.
  3. Apply Filters: Narrow down results by performance metrics, model size, or training data.
  4. Compare Models: Use benchmarking tools to evaluate performance on specific tasks or datasets.
  5. Explore Details: Dive into individual model profiles for documentation, code, and research papers.
  6. Stay Updated: Regularly check for new entries or updates to keep your knowledge current.

Frequently Asked Questions

What is the purpose of the 2025 AI Timeline?
The 2025 AI Timeline is designed to help users track, compare, and analyze machine learning models across different categories and modalities, providing insights into the latest advancements in AI research and applications.

What types of models can I find in the timeline?
You can find models across NLP, computer vision, robotics, and other AI domains, categorized by their modality (e.g., text, vision, audio) and application area.

How often is the timeline updated?
The 2025 AI Timeline is updated annually, ensuring users access the latest models and trends in the field of artificial intelligence up to 2025.

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