Chatbots - Virtual assistants engage in human-like conversations based on Generative AI. Dive into the basics of Generative AI and understand the functioning of neural networks. Explore how this advanced technology is implemented in chatbots to simulate natural conversations. From data processing to speech recognition, we delve into the key components that make chatbots a fascinating tool for interaction.

Our development prowess is based on more advanced technologies like machine learning or Natural Language Processing (NLP). Code is frequently used to train models and implement algorithms that enhance language processing and understanding.

Large Language Models (LLMs)
LLMs stand for “Large Language Models.” These are machine learning models specialized in understanding, processing, and generating natural language. These models employ massive neural networks with millions or even billions of parameters to gain a deep understanding of the structure, semantics, and grammar of natural language. LLMs are trained to handle various tasks in the field of natural language processing.

Examples of LLMs include models like GPT (Generative Pre-trained Transformer) by OpenAI and other similarly powerful models that can be employed for various applications in natural language processing. Thanks to the flexibility and versatility of our development platform, we can integrate different chatbot models, including OpenAI, Azure Open AI, and custom models. This diversity allows us to offer tailored solutions perfectly suited to the individual needs of our clients.