Decoding the Differences: Microsoft’s Bing and ChatGPT on a Comparative Scale
At a glance, ChatGPT and Bing’s implementation of the AI chatbot seem identical. While they perform similar tasks, the distinction between their language models creates varying results. You’ll trigger new responses even if you repeat your prompts.
Regardless of which tool you use more often, you’d do well to know its unique features. Here are nine notable differences between ChatGPT and Bing’s version of the bot.
1. Purpose
Although both ChatGPT and Bing AI use generative pre-trained transformer (GPT) language models, they’re different platforms. ChatGPT is a multipurpose chatbot. It scans the vast yet limited resources from which it was trained. This includes academic journals, business websites, publications, and Wikipedia.
Meanwhile, Bing’s version of the chatbot is essentially an AI-powered search engine. The platform has more sophisticated indexing and scanning, plus the integrated AI chat feature. It acts as both a search engine and a chatbot.
Despite these nuances, ChatGPT and Bing execute similar functions. With the correct prompts, they could write essays, answer general knowledge queries, recap books, and scrutinize arguments, among other tasks. Just expect varied responses based on their trained datasets.
2. Conversational Language
ChatGPT and Bing both use the GPT model. This advanced natural language processing (NLP) system responds to prompts with human-like text. It answers follow-up questions, analyzes problems, and challenges non-factual statements.
Both ChatGPT and Bing’s AI can carry out conversations. But as you explore these tools, you’ll notice that the latter has a slightly more sophisticated model–its responses sound natural.
Take the below conversation from ChatGPT as an example. While its language model, the GPT-3.5, generates grammatically correct and factual statements, it sounds stiff and awkward.
On the other hand,Bing AI uses GPT-4 , an iteration of ChatGPT’s language model. Its output sounds casual and genuine.
ChatGPT has explicit disclaimers about data inaccuracy. The platform occasionally produces incorrect information since it carries limited knowledge of events after 2021. It doesn’t even know its own release date.
Whereas Bing AI’s advanced language model and integrated search engine produce more reliable, precise data. Unlike ChatGPT, Microsoft didn’t train Bing on limited datasets. Instead, it uses its search engine to pull timely, relevant information about world events and general knowledge questions.
It’s also worth noting that Bing’s AI cites sources. Neither platform guarantees 100% accuracy, but knowing which resources to double-check streamlines fact-checking.
4. Mathematical Precision
ChatGPT and Bing AI understand math. The bots can analyze equations, perform computations based on their datasets, and generate output through their language models.
You can’t expect 100% accurate results, but both Bing andChatGPT demonstrate strong mathematical precision and numeracy . It’s worth noting that ChatGPT drastically improved since its launch—it often got word problems wrong during its first few months.
Now, however, discrepancies only arise when you explore the more intricate branches of math, such as advanced statistics, physics, and probability. For example, ChatGPT can already intermediate-level physics questions like this correctly.
Cybercriminals started misusing ChatGPT almost immediately. Consequently, some sawChatGPT as a cybersecurity threat that lets crooks write spam emails, develop malware, and build phishing links.
OpenAI acknowledges these issues. The company discloses that ChatGPT might produce biased or harmful content, although developers continuously work on security.
Title: Improving ChatGPT Dialogues: A Guide to 7 Effective Techniques