Auto Generation Of Tests
Say goodbye to Math anxiety with Instasolver–the revolutionary AI-powered platform that provides instant step-by-step solutions to complex Math problems. Our cutting-edge platform uses advanced deep-learning language models and is trained on a vast math data corpus to provide accurate solutions at lightning speed.
Solving mathematical word problems is no easy feat. It requires solving complex mathematical concepts and understanding and interpreting the natural language to formulate the computational graph of mathematical concepts. Embibe’s content intelligence stack has more than 2000 solvers. It is an NP-hard problem where the typical complexity of solving an assessment-worthy math word problem with a brute-force approach is more than 2 20
Insta Solver is being developed to instantaneously help students with step-by-step solutions to complex math word problems. It uses the latest advancements in deep learning language models and is trained on the math data corpus. It not only builds the computational graph, where each node is a mathematical transformation but also predicts input arguments for each transformation. Insta Solver traverses and executes this computational graph to generate step-by-step solutions.
We can auto-solve 1 in 3 math word problems of 6th, 7th and 8th grades using the current Insta Solver capability.
Let’s elaborate with an example:
Here’s a question from the 6th CBSE:
“Write in figures – Two lahks fifty thousand nine hundred thirty-six.”
So, in the first stage, we try to predict the solver code to solve this question, which is “ convert_text_to_number ”.
In the next stage, we fetch the argument for the predicted solver to evaluate it. So, in this case, the input argument to the solver will be “ two lakh fifty thousand nine hundred thirty-six ”.
So, we get the full solver:
convert_text_to_number(two lakh fifty thousand nine hundred thirty-six).
Then we evaluate the solver with the argument to get the answer and step-by-step solution, which looks like this:
We are actively researching this problem to invent new techniques for improving its coverage and efficacy.
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