Education level interpretation of Gpt-4o's benchmarks

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Considering the benchmark scores of GPT-4o, we can interpret the model’s performance in terms of the levels of undergraduate and graduate degrees. Here’s how the scores might align with different academic achievements:

Benchmark Scores for GPT-4o:

  • MMLU: 88.7
  • GPQA: 53.6
  • MATH: 76.6
  • HumanEval: 90.2
  • MGSM: 90.5
  • DROP: 83.4

Academic Levels Achievable:

  1. MMLU (Measuring Massive Multitask Language Understanding) - Score: 88.7:

    • Interpretation: This score reflects a high level of understanding across a wide range of academic subjects, comparable to an individual with a comprehensive undergraduate education or even a master’s degree in a general field. The breadth and depth of knowledge suggest that this score could represent someone who has achieved a bachelor’s degree and is well-prepared for graduate-level studies.

  2. GPQA (Graduate-Level Google-Proof Q&A) - Score: 53.6:

    • Interpretation: This score indicates a moderate proficiency in handling complex, nuanced questions, which aligns with the capabilities of someone pursuing or having completed an undergraduate degree. While not indicative of expertise at the highest graduate level, it does show that the individual has a solid foundation in critical thinking and problem-solving at the undergraduate level.

  3. MATH (Mathematical Problem Solving) - Score: 76.6:

    • Interpretation: This score suggests strong mathematical abilities, akin to a student with an undergraduate degree in mathematics or a related field. The individual can handle a variety of mathematical problems typically encountered in undergraduate coursework.

  4. HumanEval (Code Evaluation) - Score: 90.2:

    • Interpretation: A high score in this benchmark reflects excellent programming skills, similar to those of a highly proficient software engineer or computer science graduate. This level of competence suggests capabilities that could be found in someone with an undergraduate degree in computer science and possibly a master’s degree or extensive industry experience.

  5. MGSM (Multilingual Grade School Math) - Score: 90.5:

    • Interpretation: This very high score indicates exceptional proficiency in solving grade school level math problems across multiple languages. This aligns with fundamental math skills that are well beyond the basic undergraduate level, showcasing an individual who has mastered foundational mathematics and could easily handle more advanced undergraduate math courses.

  6. DROP (Discrete Reasoning Over Paragraphs) - Score: 83.4:

    • Interpretation: This score signifies strong reading comprehension and reasoning abilities, comparable to those of someone who has completed an undergraduate degree and is well-prepared for graduate-level work. The individual can read, understand, and logically reason based on complex texts, a skill necessary for both undergraduate and graduate studies.

Overall Academic Level:

Based on these benchmark scores, GPT-4o demonstrates capabilities that would likely align with the academic achievements of an individual who has completed an undergraduate degree and is well-prepared for graduate-level education. The high scores in MMLU, HumanEval, MGSM, and DROP indicate that the model has a comprehensive and deep understanding across various domains, reflecting the knowledge and skills typically acquired through a combination of undergraduate and early graduate-level education. The moderate score in GPQA suggests room for further specialization and expertise development, which is often pursued during advanced graduate studies.

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Some more benchmark stuff here - List of fresh gpt-4o benchmarks, please add - #2 by qrdl

Seeing a lot of results that are failing on longer contexts