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GROK

GROK AI model is continuously learning and adapting. We got 3 working MVPs which is Grok Artist, Grok GPT and Grok Scanner.

GROK Artist inherits the best practices from Dall-E 2 and Latent Diffusion while introducing some new ideas. It uses the CLIP model as the text and image encoder and employs a diffusion image prior (mapping) between the CLIP modalities' latent spaces.

URL: https://grok.gd/draw

GROK GPT is powered by GPT-4 language models that can be triggered to execute natural language processes with the assistance of accurately constructed text prompts. However, these models can create outcomes that are false, toxic, or reflect bad sentiments. This is due to the fact that GPT-4 is trained to guess the subsequent word in a vast collection of online text rather than to secure the language task that the user wishes. In other words, these models have not been designed to meet the needs of their users.

URL: https://grok.gd/gpt

Grok Scanner adopting a step-by-step approach to creating such a detector, including collecting data, training a machine learning model, to improve performance.

Depending on the size and complexity of the data, we employ a range of algorithms, including decision trees, random forests, and neural networks. Additionally, we preprocess the data by standardizing it, dealing with missing values, etc.

URL: https://grok.gd/scanner