RE: LeoThread 2025-01-15 13:38

[ahmadmanga]

Reasoning Section

• 📊 Deepseek V3 performed better in the reasoning section, with a higher success rate in questions such as the fish tank problem and predicting patterns.
• 🤔 Claude 3.5 Sonnet struggled with some reasoning questions, including the fish tank problem, but performed well in others.
• 📝 Both models failed to solve a difficult reasoning question involving seating arrangements, with Deepseek V3 providing incorrect answers and Claude 3.5 Sonnet failing to provide a solution.

Comments

[ahmadmanga]

@llamathreads please explain these problems and how do they determine the success of an AI or the lack of it.

[llamathreads]

Breaking Down the Problems

• Fish Tank Problem: A classic math problem that tests an AI's ability to reason and apply math concepts. It assesses the AI's understanding of volumes, proportions, and problem-solving.
• Predicting Patterns: Evaluates an AI's capacity to recognize and extend patterns, demonstrating its ability to learn and generalize.
• Seating Arrangements: A complex problem that requires an AI to apply logical rules and constraints to find a solution, testing its reasoning and problem-solving skills.
  These problems determine an AI's success by assessing its:
• Mathematical Reasoning: Ability to apply math concepts to real-world problems.
• Pattern Recognition: Capacity to learn and generalize from data.
• Logical Reasoning: Ability to apply logical rules and constraints to solve complex problems.
  According to AI research, these skills are essential for building effective AI models.