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DeepSeek vs Chatgpt vs JEE Main Questions Answers: Over a million students appear for the Joint Entrance Examination (Main) which is considered as one of the toughest entrance tests in the world. So can prominent artificial intelligence (AI) companies โ ChatGPT and DeepSeek โ solve JEE Main questions?
Like you, we were also confused in the starting, but after asking both the AI giants to solve the JEE Main January 28, shift-2 exam, we are sure that students can utilise them to amp up their preparations. So hereโs how DeepSeek and ChatGPT answered the questions.
On the other hand, this is how DeepSeek solved the question.
In another Physics question: For a concave mirror, the distance between the object and image = 20 cm and the magnification ๐=โ3, m=โ3, find the focal length.
This is how ChatGPT solved the question:
Rather than solving the question, ChatGPT has given the formula to do the answer, on the other hand, this is how DeepSeek solved the question:
Now, let us move to Chemistry questions: How many of the following are paramagnetic?
This is how Chinaโs DeepSeek answered the question.
Now, letโs move to know how ChatGPT answered the question.
In the question, Bag 1 has 6-white, 4-black, bag 2 has 4-white, 6-black, bag 3 has 5 -white, 5-black balls. A bag is drawn then the probability that the white ball is taken from bag 2 ?
So for the probability question, DeepSeek gave 4\15 as the answer along with an explanation.
On the other hand, ChatGPT used Bayesโ theorem to calculate conditional probability.
Now, letโs solve another math question with the help of ChatGPT and DeepSeek: The question is: The interior angle of a polygon with n side is in AP with a common difference of 6ยฐ. If the biggest interior angle of a polygon is 219ยฐ then n is equal to
According to DeepSeek, the answer to this question is 20 and it used the formula for interior angles that calculated the value of n as 20.
On the other hand, ChatGPT used the sum of interior angles formula.
Isnโt ChatGPT and DeepSeek simplifying and redefining exam preparation with its large language model? It seems the answer is yes.
