The emergence of generative artificial intelligence (AI) presents exciting possibilities for teaching and learning. These large language models generate text, translate languages, write different kinds of creative content, and even answer users' questions. But with several options, deciding which generative AI to explore is daunting. In this article, we briefly explore ChatGPT, Bard, and Claude to help you navigate the generative AI landscape.
ChatGPT (Open AI) excels at generating creative text formats, like poems, code, scripts, musical pieces, and even emails. As a creative text generator, its strength lies in its conversational fluency, engaging users in open-ended dialogues, and producing creative text formats. Its ability to adapt to different writing styles and tones makes ChatGPT a valuable tool for brainstorming ideas, exploring different perspectives, and practicing writing skills. However, ChatGPT's focus on creativity can sometimes come at the expense of factual accuracy. Its outputs may lack citations or references, and its understanding of complex topics is sometimes limited. However, concerns regarding potential bias and misinformation in ChatGPT necessitate careful monitoring and face-checking of its responses (Sætra, 2023).
On the other hand, Bard (Google AI) prioritizes factual accuracy and information retrieval. Bard leverages Google’s vast knowledge base to provide informative and comprehensive answers. Bard is great at summarizing articles and papers or generating reports. It provides citations and references to support its claims, making it reliable for research and academic writing. However, Bard's focus on factual accuracy sometimes makes its responses seem less creative or engaging than ChatGPT. Bard’s ability to generate creative text formats is still under development (Tan, Chen, & Chua, 2023).
Claude strikes a balance between ChatGPT’s creativity and Bard’s factual accuracy but prioritizes ethical interactions and responsible AI development (Anthropic, 2023). Claude excels at identifying and mitigating potential biases in its responses, making it suitable for tasks requiring sensitive information or ethical considerations and promoting inclusive learning environments. However, Claude is still under development and may not be as refined as ChatGPT or Bard in some areas. (Gabriel, 2020).
In summary, ChatGPT, Bard, and Claude are key players in the generative AI landscape. They possess unique features and potential applications. For generating writing prompts, creating outlines, crafting distinct character voices, or assisting with brainstorming ideas, ChatGPT acts as a writing partner. Bard and Claude are options for fostering historical understanding and encouraging critical thinking. Bard’s online access facilitates accurate information on historical events and figures. Claude, with its emphasis on safety and minimizing bias, provides fair and objective debate opportunities. Bard and ChatGPT hold potential as personalized learning assistants with Bard's responses being more factual while ChatGPT's engaging conversational style makes learning more interactive. For assisting with coding practice, both Bard and Claude demonstrate promise. Bard’s access to technical information is invaluable in explaining complex concepts or identifying errors in student code. Claude’s commitment to safety fosters a secure learning environment. As these models continue to learn and improve their potential to assist users will continue to grow.
References
Gabriel, I. (2020). Artificial intelligence, values, and alignment. Minds & Machines 30(3), 411–437. https://doi.org/10.1007/s11023-020-09539-2
Sætra, H. S. (2023). Generative AI: Here to stay, but for good? Technology in Society, 75, 102372. https://doi.org/10.1016/j.techsoc.2023.102372
Tan, S. C., Chen, W., & Chua, B. L. (2023). Leveraging generative artificial intelligence based on large language models for collaborative learning. Learning: Research & Practice, 9(2), 125–134. https://doi.org/10.1080/23735082.2023.2258895
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Washington, G. (2024, January 31). Navigating the Generative AI Landscape [Blog post]. Retrieved from https://pedagogybeforetechnology.blogspot.com/
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