What is ChatGPT & How it helps?

Chat GPT is an AI language model that can help in several ways, including:

• Answering Questions - Chat GPT can answer a wide variety of questions on a range of topics, from general knowledge and current events to personal finance and health.
• Providing Information - Chat GPT can provide information on a wide range of topics, from historical events and scientific concepts to product reviews and travel recommendations.
• Generating Text - Chat GPT can generate text in response to prompts, which can be useful for writing assistance, content creation, and more.
• Language Translation - Chat GPT can translate text between different languages, which can be useful for communication with people who speak different languages.
• Learning - Chat GPT can learn from the interactions it has with users and improve its responses over time, which can lead to more accurate and helpful answers.

Overall, Chat GPT can be a useful tool for accessing information, generating text, and communicating in a variety of contexts. 

How to create own version of chatgpt?

Creating your own version of ChatGPT can be a complex and involved process, but here are some general steps you can follow:

• Choose a platform: ChatGPT is a language model, so you will need a platform that can host and run large AI models. Some popular platforms include TensorFlow, PyTorch, and Hugging Face's Transformers.
• Train a language model: To create a chatbot, you will need a language model that can understand and generate text. You can train your own language model from scratch, or fine-tune an existing one. Some popular pre-trained models include OpenAI's GPT-2 and GPT-3.
• Build a conversational interface: Once you have a language model, you will need to build a conversational interface for your chatbot. This can be done using a variety of tools and frameworks, including Flask, Django, and Botpress.
• Integrate with messaging platforms: To make your chatbot accessible to users, you will need to integrate it with messaging platforms like Facebook Messenger, Slack, or WhatsApp.
• Test and iterate: Once your chatbot is up and running, it's important to test it thoroughly and make iterative improvements based on user feedback. This can involve tweaking the language model, refining the conversational interface, or adding new features.

Keep in mind that creating a high-quality chatbot can be a time-consuming and resource-intensive process, so it's important to be patient and persistent in your efforts. Additionally, you may need to acquire additional skills or knowledge in areas like machine learning, natural language processing, and software development to be successful.