GPT (Generative Pre-trained Transformer) is very famous now a days, many content writers are getting benefit for several purposes. Companies are allowing writers to use it for quickly content writing and good ideas generation. Its a family of large language models (LLMs) which is developed by OpenAI. These GPT models are so much trained on a massive amount of text data which are able to generate human quality text, translate languages, write different kinds of creative content. There are many benefits of Chat GPT which are following:

• Increased computational power: Chat GPT helps in advances in hardware, particularly the development of specialized AI chips, have made it possible to train and run these complex models more efficiently.
• Massive datasets: These models are trained on massive datasets of text and code, which allows them to learn complex patterns and relationships in language.
• Improved algorithms: Researchers have developed new algorithms which are more effective for processing language. These algorithms consist on architecture transformation.
• Accessibility: These models are becoming more accessible to developers and users through cloud based services.

The future of AI, it is not easy to predict, but there are several trends that suggest as:

• Continued progress in LLMs: The development of these super models is likely to continue, with larger and powerful models being developed. These models are becoming better at understanding and generating sensible language for human.
• Specialized AI for specific tasks: AI is becoming more specialized and models are being developed for specific tasks, such as medical diagnosis and many other sectors.
• AI integration into existing systems: AI will become increasingly integrated into existing systems, just like software applications, hardware and infrastructure. This integration will make AI more ubiquitous.
• Ethical considerations: As AI becomes more powerful and now a days in much use, there will be a growing need for ethical considerations. These considerations will address issues such as bias, privacy, and the potential for AI to be used for harmful purposes.

Bots are being develop to help customers to get their solution/answers quickly rather than long wait for customer service. To develop a bots we need to collect a relevant dataset of code that your bot will learn from. This data should be of sufficient quality and quantity to train a robust model. We select an algorithm that is suitable for the type of data and the desired task and there will be algorithms for AI bots which include rule based systems, decision trees, and neural networks. Than we need to train bots on the prepared data and evaluate its performance using a test dataset. This is a complete iterative process which will help us to refine the model and improve its accuracy.