How Can Internet Communication Technologies Boost Business Profits?
What's the best architecture for seamless communication? How can companies implement these systems efficiently? These are just some of the questions I explore on my blog, where I dive into the latest strategies and innovations in digital communication. 🚀
If you're involved in application development or data analytics, you've likely encountered the concept of "vectorization" or "embedding" text content. This process converts text into vector form, enabling computers to better understand the meaning behind words and sentences. It's essential for semantic search, recommendation systems, automatic...
When diving into the OpenAI API documentation, you'll notice there are two main ways to interact with the service. In previous examples, we focused on "assistants," which use API version 2—a feature still in beta. Alongside that, there's another option: the Agent SDK, a Python-based toolkit. Both approaches share some similarities, but depending on...
When you want ChatGPT to include data from your own files in its responses (via semantic search), you have several options:
If you've registered on ourai.applicloud.com and tried semantic search at SemanticDemo, you may have noticed that its usage is quite different from traditional full-text search. Understanding how to use it effectively requires a bit of learning.
In previous articles, we demonstrated how to prepare a large document for vectorization, perform the vectorization process, and now it's time to search within a vector database.
When dealing with extensive PDF files—like operating system documentation for Red Hat 7, which can span thousands of pages—you may want to add semantic search functionality. Unlike traditional full-text search, semantic search can return relevant text passages even when the search query itself doesn't explicitly appear in the document. Instead,...
Whether you're working with a simple open-source AI model or the most advanced systems for processing and generating text, they all share one fundamental principle: converting text into a vector matrix and searching for similarities within their database. The result is then further processed into "human language."
The easiest way is through the OpenAI Dashboard:
OpenAI Usage
Here, you can view your monthly spending and set a monthly limit.
n typical chat applications, users exchange questions and answers within a continuous conversation—artificial intelligence remembers what has been said and adapts responses based on the previous context. However, this approach is not always desirable. There are situations where it is more beneficial for each question to be processed independently,...