Apple's latest research paper reveals the fragility of relying on the current LLMs. Source: GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
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00:02 Research Question: Do LLMs really understand math?00:22 Shortcomings of the current GSM 8K Benchmak
00:34 The new benchmark proposed by Apple: GSM-Symbolic
01:09 How LLMs faired against GSM-Symbolic
01:27 What this all means
01:55 LLMs struggle more with harder problems
02:14 LLMs tricked into giving the wrong answer
03:10 Conclusion: Current LLMs don't really understand math

To dive deeper, Check out @YannicKilcher 's video. He explains it well and also gives his personal view as he goes through the paper which covers the theoretical limitations of the transformer architecture, evidence suggesting that LLMs rely on probabilistic pattern matching rather than formal reasoning, and the impact of token bias on reasoning performance,

#ai #artificialintelligence #llm #apple #airesearch #deeplearning #generativeai #gsm8k #gsmsymbolic #llmbenchmarks

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