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Episode 12: ChatGPT - Inside the AI Chatbot - An Interview with Tristan Jutras

Welcome to episode 12 of the Talk Techie To Me podcast!

In this episode, I'm chatting with tech expert Tristan Jutras to discuss the capabilities and limitations of ChatGPT. We explore what ChatGPT is, how it’s able to generate human-like text, and its potential implications for the future of communication and beyond. Plus, we talk about training and fine-tuning this language model, plagiarism and copyright concerns, as well as other important information you need to know.

And you wouldn't think I'd do a YouTube video and podcast on ChatGPT without using it to write this blog post, would you? The rest of this was written by ChatGPT in a matter of seconds:

ChatGPT is a state-of-the-art language model developed by OpenAI. It's based on the GPT (Generative Pre-trained Transformer) architecture and is trained on a massive amount of text data to generate human-like text.

The training process for ChatGPT involves feeding the model a large amount of text data and adjusting the model's parameters to minimize the difference between its predictions and the actual text. This process is repeated many times until the model reaches a high level of accuracy in generating text that is similar to human-written text.

Once the model is trained, it can be fine-tuned for specific tasks, such as language translation or dialogue generation. For example, in dialogue generation, the model can be trained on a dataset of conversations to generate responses that are appropriate for the context of the conversation.

One of the key strengths of ChatGPT is its ability to generate text that is highly coherent, which makes it well-suited for a wide range of natural language processing tasks. Additionally, the model's large size allows it to understand and generate text on a wide range of topics.

Want to learn more about ChatGPT? Watch my YouTube video here.

What do you think of ChatGPT? Drop me a comment and let's chat!

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