Semantic Search and AI Powered Gospel Analysis
Link: https://truth-comparer.herokuapp.com/
In this video, I showcase an AI-powered website that uses semantic search to analyze all four gospels for a search query, providing users with the most relevant results. But that's not all - the website also utilizes the power of GPT3.5-T API to make comparisons across all four gospels, providing users with a comprehensive understanding of a particular topic. Whether you're a theologian, a pastor, or someone who wants to learn more about the Bible, this website is perfect for exploring the four gospels in a whole new way.
Embeddings are a type of mathematical representation that capture the meaning and context of words and phrases in a given language. They are often used in natural language processing (NLP) tasks such as semantic search, text classification, and machine translation. In an embedding model, each word is represented as a high-dimensional vector, where the values of each dimension correspond to the contextual and semantic relationships between the word and other words in the language. This allows the model to capture the nuances of language and make predictions based on the underlying meaning of words, rather than just their surface-level appearance. By using embeddings, the AI-powered website in the video is able to provide related topics and words, expanding the user's understanding of the topic they're searching for.