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This project focuses on automatic image caption generation, leveraging advanced deep learning techniques to create descriptive captions for images. The Jupyter Notebook provided in the repository demonstrates the implementation of a neural network model designed to analyze and interpret the content of images.
This repository collects an extensive list of awesome papers about Story Generation / Storytelling, primarily focusing on the era of Large Language Models (LLMs).
TasteRank: Personalized Image Search and Recommendation. This research project proposes an AI-based method for scoring photos on relevance to user interests. TasteRank leverages language and vision models, including Mistral LLMs and OpenAI’s CLIP, and applies multimodal machine-learning techniques.
An inference-time framework for code-generation tasks, pairing content-planning ("whiteboarding") with simulated collaboration from peer LLMs ("team-refine").
This project has been created to make AI accessible and easy for everyone. Whether you are a beginner with no prior experience or an experienced developer, this starter kit is designed to help you incorporate AI into your apps quickly and easily.
Blip Image Captioning + GPT-2 Happy Model: Generate joyful responses to image captions using state-of-the-art NLP and computer vision. Pretrained models and data preprocessing included for seamless integration. Explore the intersection of deep learning, sentiment analysis, and language generation