Large language models (LLMs) are known for their exceptional performance in natural language processing, making them highly effective in many human life-related tasks.

In 2020 the AI market size valued at $62.35 B and statistics forecast 40% annual growth for this market for up to 8 years.AI can enormously help in our life if we can manage it with some terms. This article will help you to know what is Artificial Intelligence. Our minds process many information and any one of us is doing a lot of work and tasks. Any one of normal humans has a brain to think and find solutions for tasks by their brain and intelligence. Artificial Intelligence or AI is a technology that computer software or hardware can think like a natural human brain and find the best solutions or do tasks by themself.

fMM and GBFSH are two prominent bidirectional heuristic search algorithms. Over the past few years, there has been a great deal of theoretical and empirical work on both of these algorithms. As part of the research conducted on these algorithms, some interesting theoretical properties were proven for fMM and not for GBFSH and vice versa. In addition, both of them are used as benchmarks for evaluation bidirectional heuristic search algorithms. In this paper we show that fMM infused by a lower-bound propagation and GBFSH are equivalent. In essence, every instance of fMM can be mapped to an instance of GBFSH that expands the exact sequence of nodes and vice versa. This equivalence indicates that all theoretical properties proven for one algorithm hold for both algorithm, and that future analyses and benchmarks can consider only one of these algorithms.