Find me the best Ai model that has NO DESKTOP BIAS

When you're looking for AI models that have no desktop bias, you're generally referring to models that do not favor any specific platform (like desktop versus mobile) in their training and evaluation. Here are a few recommendations for AI models and platforms that aim to be platform-agnostic:

**OpenAI's GPT (like ChatGPT)**: The underlying models, including various versions of the GPT, have been trained on diverse datasets that include a wide range of text without specific biases towards desktop or mobile contexts. They are designed to work across various applications.

**Google's BERT**: Similar to GPT, Google's BERT model is trained on large, diverse datasets, making it a strong candidate for applications that require no platform bias. BERT can be implemented for various NLP tasks regardless of user device.

**Hugging Face Transformers**: This library includes a multitude of pre-trained models (like BERT, GPT-2, RoBERTa, etc.) which can be fine-tuned on specific datasets to ensure that there is no platform bias. By selecting diverse datasets for training, you can minimize bias.

**Facebook's RoBERTa**: An optimized version of BERT that removes some of the original model's dependencies, designed to be used across various tasks without platform bias.

**TensorFlow and PyTorch**: These frameworks allow you to build and train your models, ensuring a diverse range of training data. By choosing your training datasets wisely, you can mitigate biases.

**Custom Models**: If you're developing a specific application, consider training your AI model using datasets that are representative of different platforms and contexts. This way, you can ensure that your model performs uniformly well across both desktop and mobile devices.

In general, when trying to mitigate desktop bias, it is essential to use diverse, representative datasets and to evaluate the model across various platforms to ensure balanced performance.