language:en license:cc-by-sa-4.0 size_categories:n<1K modality:text doi:10.57967/hf/4402 region:us text assistants deep_learning hlrf text_generation
---
license: cc-by-sa-4.0
language:
- en
tags:
- text
- assistants
- deep_learning
- hlrf
- text_generation
pretty_name: Tokenless.ai Assistants
size_categories:
- n<1K
---
![image/png](https://cdn-uploads.huggingface.co/production/uploads/67632d0bf6580a53d2f2b668/JVmoznfXuMUncZCezVs7R.png)

Tokenless.ai Assistants Dataset

This dataset contains a collection of AI assistants, each specialized in a specific domain or task (designed to be orchestrated by a central AI agent (e.g., Maxey0)) for efficient and effective task execution.

Data Structure

The dataset is provided in a CSV file with the following columns:

name: The name of the AI assistant, reflecting its specialization.

instruction: A detailed description of the AI assistant's capabilities, responsibilities, and expertise.

input: The types of data or information the AI assistant can receive as input.

output: The types of data or information the AI assistant can produce as output.

pylib: A list of Python libraries that the AI assistant might utilize for its tasks.

Assistants

The dataset includes a diverse range of AI assistants, covering various domains and tasks, such as:

Data Processing: Data Ingestion and Processing Assistant, Data Preprocessing for OCR/HTR Assistant, Output Standardization for OCR/HTR Assistant

Image Processing: Image Manipulation Assistant, High-Resolution Image Synthesis Assistant, Scene Text Recognition Assistant

Natural Language Processing: LLM Prompt Engineering for OCR/HTR Assistant, Long-Context Large Language Model (LLM) Assistant, Text-to-Image Synthesis Assistant

Machine Learning: Deep Learning for OCR Assistant, Transfer Learning Assistant, Supervised Fine-tuning (SFT) Assistant

Reinforcement Learning: Reward Modeling (RM) Assistant, Reinforcement Learning in Robotics Assistant, Reinforcement Learning in Game Playing Assistant

Generative Modeling: Diffusion Probabilistic Models Assistant, Latent Diffusion Models Assistant, Generative Adversarial Networks Assistant

Other: Quantum Computing Assistant, Explainable AI (XAI) Assistant, Energy Optimization Assistant

Usage

This dataset can be used for various purposes, such as:

AI Orchestration: Develop a central AI agent that can orchestrate the actions of these specialized assistants to execute complex tasks efficiently.

AI Research: Study the capabilities and limitations of different AI approaches and their potential for collaboration.

Education: Use the dataset as a resource for learning about different AI domains and techniques.

Benchmarking: Evaluate the performance of different AI models and algorithms on specific tasks.

Contributing

Contributions to this dataset are welcome. If you have ideas for new AI assistants or improvements to existing ones, please submit a pull request or open an issue on the Hugging Face repository.

License

This dataset is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License.

Acknowledgements

This dataset was created with the help of the Maxey0.