Image captioning

Modeling and deploying

Image captioning is a deep learning task that involves describing the content of an image in natural language. The process typically involves extracting visual features from the image using a convolutional neural network (CNN), and then generating a corresponding caption using a recurrent neural network (RNN) or transformer-based model, which takes the visual features as input and outputs a sequence of words. The goal is to create a concise and accurate description of the image that is easy for humans to understand.

LLM chat assistants

Deployment of LLMs using APIs

LLMs are a new class of language models that are trained to generate text conditioned on a document, a dialog history, or both. They have been shown to achieve state-of-the-art results in a wide variety of applications, including machine translation, question answering, and summarization.

LLM chat assistants can be integrated into various applications and interfaces using APIs, making it easy to deploy simple chatbots that can handle a range of tasks. To optimize the performance of these chat assistants for special tasks, prompt engineering is used to craft specific and targeted queries that help the model generate more accurate and relevant responses. This approach allows for the customization of chatbots to meet the unique needs of different businesses and industries, without requiring extensive programming or machine learning expertise.