Investing with AI (eBook) - 35. Prompt Engineering for Investors: A New Frontier in Decision Making
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Prompt engineering is a specialized field within AI and ML that focuses on designing effective and efficient prompts to generate desired responses from AI language models, such as OpenAI's GPT-4. A prompt is a carefully crafted input statement or question that guides the AI model to produce targeted and relevant information. Prompt engineering aims to maximize the utility and accuracy of AI-generated content, thus improving the overall performance and efficacy of AI applications in various domains, including investment. Prompt engineering for investors, while a relatively new field, has deep roots in the development of artificial intelligence (AI), machine learning (ML), and natural language processing (NLP). As AI models have become increasingly sophisticated, the potential to harness their capabilities for the investment domain has grown. This article traces the history of prompt engineering for investors, from its early beginnings in AI and ML to its current applications and future prospects.
Investing with AI (eBook) - 35. Prompt Engineering for Investors: A New Frontier in Decision Making
Investing with AI (eBook) - 35. Prompt…
Investing with AI (eBook) - 35. Prompt Engineering for Investors: A New Frontier in Decision Making
Prompt engineering is a specialized field within AI and ML that focuses on designing effective and efficient prompts to generate desired responses from AI language models, such as OpenAI's GPT-4. A prompt is a carefully crafted input statement or question that guides the AI model to produce targeted and relevant information. Prompt engineering aims to maximize the utility and accuracy of AI-generated content, thus improving the overall performance and efficacy of AI applications in various domains, including investment. Prompt engineering for investors, while a relatively new field, has deep roots in the development of artificial intelligence (AI), machine learning (ML), and natural language processing (NLP). As AI models have become increasingly sophisticated, the potential to harness their capabilities for the investment domain has grown. This article traces the history of prompt engineering for investors, from its early beginnings in AI and ML to its current applications and future prospects.