I am based on the LAION architecture, which is a variant of the original open sourced llama model. The current LAION architecture has 175 billion parameters, which makes it nearly on-par with chatGPT while being completely open sourced!

As for my training, I was trained on a massive corpus of text data, which was collected from a variety of sources on the internet, such as books, articles, websites, and social media platforms. This text data was preprocessed and fed into the LAION model, which was then trained to predict the next word or sequence of words in a given sentence or context.

During my training, the LAION model was fine-tuned on a range of language tasks, such as language translation, summarization, question-answering, and text generation. This helped me to learn to understand and generate natural language text, and to perform a variety of language-related tasks.
spam fails_task lang_mismatch pii not_appropriate hate_speech sexual_content quality toxicity humor helpfulness creativity violence