(personal note ) This is for gemini-pro still awaiting for release of the ultra model

I’ve been experimenting with Gemini-Pro via Bard for a while now. However, my assessment is that it still falls short of the capabilities offered by GPT-4.

Overview

A comprehensive analysis of Gemini-Pro reveals important insights, particularly in comparison with GPT 3.5 and GPT 4. This investigation uncovers several misconceptions and limitations.

Key Findings

Misleading Demonstrations

  • Issue: Gemini-Pro’s demos were misleading, portraying real-time interactions, but in reality, they were staged scenarios with still images and additional inputs.
  • Impact: This created unrealistic expectations about Gemini-Pro’s real capabilities.

Competency Misconception

  • Insight: Contrary to popular belief, Gemini-Pro is designed to compete with GPT 3.5, not GPT 4.
  • Implication: This shifts the perspective on Gemini-Pro’s performance and its comparative analysis.

Comparative Analysis

Gemini-Pro shows varied performance when pitted against GPT 3.5 and GPT 4:

  • Creative Tasks: Falls short in accuracy and efficiency.
  • Logical Reasoning: Demonstrates limitations compared to its counterparts.
  • Real-time Data Handling: Lacks capability for efficient processing.

Strengths and Limitations

Integration Potential

  • Strength: Potential for integration with other Google products.
  • Current State: Integration is not fully effective, leading to practical limitations.

Vision and Search Capabilities

  • Limitation: Struggles with image recognition and accurate search results, a significant drawback.

Understanding Humor and Slang

  • Finding: Capable of understanding modern slang but weaker in interpreting humor than GPT 3.5 and GPT 4.

Coding Proficiency

  • Performance: Handles basic coding tasks but less efficient and accurate than GPT 4 in complex scenarios.

Conclusion

Gemini-Pro, while showing potential, does not currently meet the expectations set by its initial demonstrations. Its performance, especially compared to GPT 3.5 and GPT 4, indicates notable gaps in various key areas. The anticipated integration with Google’s products may enhance its future utility, but current limitations need to be addressed.