Understand the applications for LLMs Explain how LLMs work Related Content What is artificial intelligence (AI)? What is machine learning? Vector database Predictive AI What is generative AI? Want to keep learning? Subscribe to theNET, Cloudflare's monthly recap of the Internet's most popular ...
Understand the applications for LLMs Explain how LLMs work Related Content What is artificial intelligence (AI)? What is machine learning? Vector database Predictive AI What is generative AI? Want to keep learning? Subscribe to theNET, Cloudflare's monthly recap of the Internet's most popular ...
This is done through a combination of embedding techniques. Embeddings are the representations of tokens, such as sentences, paragraphs, or documents, in a high-dimensional vector space, where each dimension corresponds to a learned feature or attribute of the language. The embedding process takes p...
In the softmax layer, the higher scores are elevated, and the lower scores get depressed. The attention scores [Q*K] are multiplied with the value vector [V] to produce an output vector for each word. If the resultant vector is large, it is retained. If the vector is tending towards ...
A vector database is an organized collection of vector embeddings that can be created, read, updated, and deleted at any point in time.
In 2013, an algorithm known asword2vecbecame the LLM's most recent ancestor. Word2vec is a natural language processing (NLP) algorithm used to take one word and convert it into an array of numbers known as a vector. This may seem basic on the surface, but what was amazing about word...
etc in rows and columns. When querying from traditional databases, we are querying for rows that match our query. However, vector databases work with vectors rather than strings, etc. Vector databases also apply a similarity metric which is used to help find a vector most similar to the query...
When users ask an LLM a question, the AI model sends the query to another model that converts it into a numeric format so machines can read it. The numeric version of the query is sometimes called an embedding or a vector. In retrieval-augmented generation, LLMs are enhanced with embeddin...
Understand the applications for LLMs Explain how LLMs work Related Content What is artificial intelligence (AI)? What is machine learning? Vector database Predictive AI What is generative AI? Want to keep learning? Subscribe to theNET, Cloudflare's monthly recap of the Internet's most popular ...
These tokens are transformed into continuous vector representations, capturing the semantic and syntactic nuances of the input. This foundational step is crucial for the model to understand the language it will be processing. Positional encoding: Keeping track of words in context This component m...