AI Collective Integrations

DALL*E 2 can create realistic, original images and art from text descriptions. It can combine concepts and attributes. DALL*E2 can create new compositions by expanding images beyond what is on the original canvas. DALL*E 2 can edit existing images using a natural language caption. It can add or remove elements, while also taking into account shadows, reflections, textures, and other details. DALL*E 2 can understand the relationship between images, and the text that describes them. DALL*E 2 uses a process called "diffusion," where it starts with a pattern made up of random dots and then alters that pattern to create an image when it recognizes certain aspects of the image. Users cannot generate violent, political, or adult content according to our content policy. If our filters detect text prompts or image uploads that might violate our policies, we won't generate images. To guard against misuse, we have both automated and human monitoring systems.

ChatGPT is an OpenAI language model. It can generate human-like responses to a variety prompts, and has been trained on a wide range of internet texts. ChatGPT can be used to perform natural language processing tasks such as conversation, question answering, and text generation. ChatGPT is a pretrained language model that uses deep-learning algorithms to generate text. It was trained using large amounts of text data. This allows it to respond to a wide variety of prompts with human-like ease. It has a transformer architecture that has been proven to be efficient in many NLP tasks. ChatGPT can generate text in addition to answering questions, text classification and language translation. This allows developers to create powerful NLP applications that can do specific tasks more accurately. ChatGPT can also process code and generate it.

GPT-3.5 is the next evolution to GPT 3 large language model, OpenAI. GPT-3.5 models are able to understand and generate natural languages. There are four main models available with different power levels that can be used for different tasks. The main GPT-3.5 models can be used with the text completion endpoint. There are models that can be used with other endpoints. Davinci is the most versatile model family. It can perform all tasks that other models can do, often with less instruction. Davinci is the best choice for applications that require a deep understanding of the content. This includes summarizations for specific audiences and creative content generation. These higher capabilities mean that Davinci is more expensive per API call and takes longer to process than other models.

Vicuna-13B, an open-source chatbot, is trained by fine-tuning LLaMA using user-shared conversations from ShareGPT. Vicuna-13B's preliminary evaluation using GPT-4, as a judge, shows that it achieves a quality of more than 90%* for OpenAI ChatGPT or Google Bard and outperforms other models such as LLaMA or Stanford Alpaca. Vicuna-13B costs around $300 to train. The online demo and the code, along with weights, are available to non-commercial users.