ChatGPT in Corporate Training
Erik Edgar Gomez Casta?eda
COO | Consultant in AI Implementation and GPT Model Development for Businesses and Universities
ChatGPT is a natural language model developed by OpenAI. It is capable of generating coherent responses from given input text called "Prompt."
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GPT stands for "Generative Pre-trained Transformer." It is a deep learning model that has been trained on a large amount of text data and is capable of generating text with a high level of coherence and fluency.
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ChatGPT can be used for a wide range of natural language processing applications, such as generating automatic responses for online chats, generating text for virtual assistants and chatbots, automatically summarizing text, and translating languages automatically.
How was ChatGPT trained?
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ChatGPT was trained on a diverse and broad corpus of text collected from different internet sources, including websites, blog posts, news articles, e-books, and more. Some of the text sources used to train ChatGPT include:
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It is important to mention that ChatGPT's training was stopped in 2021, and therefore it is not capable (at the moment) of giving information beyond that year. Additionally, it should be noted that its broad data source is also plagued by the biases of the text creators from which ChatGPT learned. For example, biases of gender, race, or ethnicity may be present. This does not mean that ChatGPT is a sexist or racist artificial intelligence. It means that it still needs to be trained to avoid such errors.
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How to use ChatGPT?
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In addition, some chat interfaces may allow users to provide additional information, such as their geographic location or personal preferences, so that the model can better tailor its responses. In any case, the idea is that the user provides input information in the form of text or voice commands, and ChatGPT processes this input and generates a coherent and relevant response.
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Let's talk a bit about the Prompt
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In ChatGPT, the input data that the model uses to generate a response is known as the "Prompt." The Prompt is essentially the input information that is provided to the model in the form of text or voice commands so that it can generate a coherent response.
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The Prompt can be a question, a statement, or any other information that the user wishes to provide to the model. For example, if the user is talking to a chatbot powered by ChatGPT and wants to get information about the weather in their area, they could provide the Prompt "How is the weather in my area?"
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It is important to note that the quality of the Prompt can significantly affect the quality of the response generated by ChatGPT. Clear and precise Prompts tend to generate more coherent and relevant responses, while vague or ambiguous Prompts can lead to imprecise or irrelevant responses.
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Here are 10 tips for formulating high-quality questions to ChatGPT:
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By following these tips, you can formulate high-quality questions to ChatGPT that can help you obtain accurate and useful answers.
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How to improve the quality of texts provided by ChatGPT?
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As an artificial intelligence trained through deep learning algorithms called "Transformers", which use a neural network architecture that allows the model to learn and understand the context and structure of sentences, as well as the meaning of individual words. This training technique allows the model to generate coherent and relevant answers from the user's input.
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Once the model was trained on this data, it was perfected using the "fine-tuning" technique, where the model is adjusted to a specific dataset so that it can provide more accurate and relevant answers in a particular domain of interest, such as customer service, healthcare, education, among others.
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It is important to mention that the texts generated by ChatGPT, due to the way it was trained, may contain repeated words, shallow ideas, and filler phrases, which is why it is vital that the generated texts are processed to give them the sense and flow desired.
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Another tip is to create the text in parts, so that ChatGPT can focus on one topic at a time.
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Lastly, it is important to provide feedback to the system after each answer, one can like or dislike and write a text that explains the reason for our rating.
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How can we use ChatGPT in Corporate Training?
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ChatGPT can be a useful tool for corporate training in several ways.
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Content experts can use it as a powerful tool to generate content and multiple-choice assessments and reduce the time invested in content creation. This can be used to create more targeted, higher-quality training strategies.
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Content experts will now learn how to generate high-quality questions, carefully consider how they want to structure information, what topics they want to cover, and how the hierarchy of topics and subtopics will be.
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As an AI, there are things that ChatGPT still cannot provide: empathy, creativity, and human understanding are still beyond its reach. Here is the value of expert intervention, to give these senses to the texts.
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To conclude this article, I asked ChatGPT, "What is the future of job training with the use of ChatGPT?"
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Exact quote: "The future of job training with the use of ChatGPT is promising. As technology advances and becomes increasingly accessible, the use of ChatGPT and other similar language models is expected to become an increasingly common part of job training.
Here are some ways ChatGPT could transform job training in the future:
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Overall, the use of ChatGPT and other language models in job training can help improve the efficiency, personalization, and accessibility of learning, which can lead to better-trained and more successful workers."
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Sources:
OpenAI. (2021, October 28). Chat with GPT: Language Models as Virtual Assistants. OpenAI. https://openai.com/blog/chatgpt/
Los Redactores. (2023). ChatGPT: ?Desbloquea todo tu potencial! [Archivo PDF]. Recuperado de https://redactores.com/storage/uploads/Redactores.com-eBook-ChatGPT.pdf
Fernandes, J. (2022, September). Advanced AI: Transformers for NLP using Large Language Models [Curso en línea]. LinkedIn Learning. Recuperado de https://www.dhirubhai.net/learning/advanced-ai-transformers-for-nlp-using-large-language-models
Reichental, J. (2021, marzo). Next Generation AI: An Intro to GPT-3 [Curso en línea]. LinkedIn Learning. Recuperado de https://www.dhirubhai.net/learning/next-generation-ai-an-intro-to-gpt-3
Associate Professor, Computer Information Systems at University of Malta
2 年An amazing must-read well summarises various aspects of chatGPT.