Yes, if they train on larger parameter such as LLMs like BERT and LLaMA gain mathematical reasoning ability when fine-tuned on domain-specific corpora. Math-specialized models (e.g., Minerva, MathGPT) leverage transformer depth and large parameter matrices to perform symbolic manipulation, multi-step inference, and formal proof generation—pushing SOTA on benchmarks like GSM8K and MATH.

Yes, artificial intelligence (AI) can be used to solve complex mathematical equations, especially with techniques like symbolic computation, neural networks, and reinforcement learning. Here’s how:

• Symbolic AI systems (like Wolfram Alpha or SymPy) can solve algebraic, calculus, and differential equations step-by-step.
• Neural networks can approximate solutions to equations that don’t have analytical solutions (e.g., nonlinear differential equations).
• AI in theorem proving helps validate or discover new solutions in advanced mathematics using tools like GPT-f and Lean.

AI doesn't replace formal mathematical rigor, but it significantly accelerates problem-solving, especially in physics, engineering, and data science.

Here are some popular AI-powered tools and systems used for solving complex math problems:

🔹 1. Wolfram Alpha

• Type: Symbolic AI
• Use: Solves algebra, calculus, differential equations, linear algebra, etc.
• Example: Input solve x^2 + 3x + 2 = 0 and it gives step-by-step solutions.
• Website: www.wolframalpha.com

🔹 2. Microsoft Math Solver

• Type: AI-powered scanner + solver
• Use: Scan handwritten or typed equations and get solutions with explanations.
• Great for: High school and early college-level math.

🔹 3. SymPy (Python Library)

• Type: Symbolic Math Library
• Use: Automate symbolic algebra, calculus, equation solving in Python code.
• Example: pythonCopyEditfrom sympy import symbols, solve x = symbols('x') solve(x**2 + 3*x + 2, x)

🔹 4. DeepMind’s AlphaTensor and AlphaFold

• Type: Deep learning models
• Use: Not basic math, but AI that solves matrix multiplication optimization or protein folding—both rooted in complex math.

🔹 5. MathGPT / GPT-4 (Code Interpreter Mode)

• Type: Large Language Model
• Use: Can reason through math problems, plot graphs, and run Python code to solve them.

It is kindly not to be confused that first come Physical World, then Mathematics or Mathematical/Statistical Modelling, then models/functions computations that may be manual or digital-computerized which is now a days termed as artificial intelligence. Here, the reality is that modern computer machine is very fast and can compute very high dimensional problems.