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Prompt engineering is the process of structuring an instruction that can be interpreted and understood by a generative artificial intelligence (AI) model. [ 1 ] [ 2 ] A prompt is natural language text describing the task that an AI should perform. [ 3 ]
I started self-studying data science with Coursera Udemy and did a bunch of online courses. I learned how to code and the ins and outs of AI and machine learning.
A study critically examined in 2023 the role of ChatGPT in education. The authors had ChatGPT generate a SWOT analysis of itself in an educational setting, identifying several key issues and potential uses. They highlighted that while ChatGPT can generate human-like responses and assist with personalized learning, it also has limitations.
ChatGPT is a generative artificial intelligence chatbot [2] [3] developed by OpenAI and launched in 2022. It is currently based on the GPT-4o large language model (LLM). ChatGPT can generate human-like conversational responses and enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. [4]
It seems ChatGPT uses Wikipedia's policy pages in addition to articles for its dataset. Based on the results, AI models seem to be a very powerful brainstorming tool, and via prompt engineering, these AI do allow an impressive amount of refinement to the plan. AI can also be a great tool as a pointer to potential sources and can remind editors ...
Prompt injection can be viewed as a code injection attack using adversarial prompt engineering. In 2022, the NCC Group characterized prompt injection as a new class of vulnerability of AI/ML systems. [10] The concept of prompt injection was first discovered by Jonathan Cefalu from Preamble in May 2022 in a letter to OpenAI who called it command ...
Since the transformer architecture enabled massive parallelization, GPT models could be trained on larger corpora than previous NLP (natural language processing) models.. While the GPT-1 model demonstrated that the approach was viable, GPT-2 would further explore the emergent properties of networks trained on extremely large corpo
Udemy has not yet generated a profit as is common among high-growth startups who invest heavily in their own growth. [25] Udemy reported net losses of $69.7 million for 2019 and $77.6 million in net losses for 2020. By June 30, 2021, Udemy had an accumulated deficit of $407.9 million. In 2020, Udemy spent $192.6 million on marketing and ...