Module 01 – Intro to comprehensive ChatGPT
Learn chatgpt large language model (LLM) developed by OpenAI

Module 02 – Learn about machine learning and deep learning
-machine learning vs deep learning -supervised & unsupervised machine learning -computer vision

Module 03 – Prompt engineering and Using ChatGPT
-how to use ChatGPT -Basic and advanced prompts -Quiz and solutions

Module 04 – Creation of AI Images and Videos
-Using Dall-E application -Using Midjourney -Using Invideo AI

Module 05 – Application of research and development in AI developments
Websites, articles, journals and online papers on the topic of artificial intelligence (AI) and its application in the real life world

Understanding ChatGPT developed by OpenAI
About Lesson

ChatGPT, developed by OpenAI, represents a breakthrough in the field of artificial intelligence, specifically natural language processing. It’s a state-of-the-art language model based on the GPT (Generative Pre-trained Transformer) architecture, showcasing the impressive capabilities of machine learning.

At its core, ChatGPT is an advanced chatbot powered by deep learning. What makes it unique is its ability to generate coherent and contextually relevant responses to user inputs. Trained on diverse internet text, ChatGPT has learned intricate patterns, grammar, facts, reasoning abilities, and even some elements of world knowledge. It can engage in conversations on a wide array of topics, making it a versatile tool for various applications.

The architecture of ChatGPT is based on transformers, a neural network architecture that excels in handling sequential data, making it particularly effective for natural language understanding and generation tasks. These transformers allow ChatGPT to process and understand context over long spans of text, enabling it to maintain coherence and relevance throughout a conversation.

OpenAI employs a two-step process to train ChatGPT: pre-training and fine-tuning. In pre-training, the model is exposed to a vast amount of internet text, learning from the patterns and nuances present in the data. Fine-tuning follows, involving training the model on more specific datasets to make it more controlled and useful for particular applications.

While ChatGPT has demonstrated impressive capabilities, it’s important to note its limitations. The model’s responses are generated based on patterns learned during training and may not always reflect accurate or up-to-date information. It can be sensitive to input phrasing, and sometimes, it may generate responses that appear plausible but are incorrect or nonsensical.

OpenAI has implemented safety mitigations to minimize harmful outputs, and user feedback plays a crucial role in identifying and addressing potential risks and biases. OpenAI is committed to the responsible deployment of AI, and transparency is central to its approach, including sharing information about the model’s strengths and weaknesses.

In conclusion, ChatGPT by OpenAI is a testament to the advancements in natural language processing and AI. It brings conversational AI to new heights, offering a glimpse into the potential of language models to understand and generate human-like text. As OpenAI continues to refine and develop such models, it raises exciting possibilities for the integration of AI in various domains, while also prompting careful consideration of ethical implications and responsible use (ChatGPT  prompt, 2023). 

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