Schrodinger ClarifaiLlama

We participated in an exciting 3-day hackathon by lablab.ai, combining Clarifai's industry-leading computer vision with Llama2's advanced natural language model developed by Meta. Overview of "Schrödinger's ClarifaiLlama" app For the hackathon, we built an AI-powered platform called "Schrödinger's ClarifaiLlama" that generates custom multimedia content on any topic by searching across indexed data. Leveraging Clarifai's computer vision and Llama2's language capabilities Our app showcases innovative ways to utilize Clarifai's deep learning for image and video analysis together with Llama2's ability to understand text and generate coherent content. Ingesting and indexing multimedia data The system ingests data from diverse sources like YouTube, PDFs, and images. Powerful vector search with Faiss indexes text, audio, and images for fast semantic retrieval. Generating custom content from user queries Users can query the system through a chat interface. Llama2 analyzes the queries and generates relevant ebooks or blog posts by pulling together content from the indexed multimedia data. Transforming multimedia into cohesive content Llama2's language mastery transforms disjointed multimedia information into smooth, cohesive ebooks and blog posts on the fly. Benefits of combining multimedia search with natural language generation By fusing robust semantic search across text, audio, and visuals with Llama2's content creation skills, our platform opens new possibilities for automated custom content generation.