Our learning and production services

Introduction to the world of neural networks, studying different types of networks, such as generative and learning neural networks. An overview of the application of neural networks in analytics, creative industries and other areas. Ways to access neural networks through local solutions, APIs or web interfaces.

The main characteristics of language models, their architecture and application. Study of the tasks that these models solve, including content creation and data analysis. Consideration of the basics of writing prompts and advanced techniques for increasing their effectiveness.

Using neural networks to collect and analyze data, reformat audio and video information into text, and high-quality text summaries. It examines how neural networks simplify and speed up the research and analysis process, making it accessible to people with any level of experience in research and strategy.

Creating non-standard creative solutions in neural networks Prompting for finding ideas and increasing the creativity of the neural network, using creative techniques and other non-obvious things to improve answers. The path from the message through the creative idea to the slogan.

Working with texts, tone for presentations and other working formats. Prompt instructions and their key elements. Creating a no code assistant bot

Exploring the world of diffusion neural networks, their structure and methods of operation. The lecture will introduce the main types of diffusion networks and services, their capabilities and limitations, and the specifics of use.

Basic principles of creating prompts, features of their use in various services, as well as techniques for improving text descriptions for generating images.