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Introduction

Artificial intelligence continues to evolve with the introduction of various language learning models (LLM) that excel in different aspects of natural language processing. This article seeks to provide an in-depth comparison of two popular models, ChatGPT (GPT 3.5 TURBO) and Mistral AI 7B, based on their performance on various tasks. The insights gleaned from this analysis should guide AI enthusiasts and developers in selecting an AI model that best fits their use case.

Observations from Video Comparison

Both models were judged on their succinctness of responses, ability to follow instructions, and performance on logical and problem-solving tasks. The verdict was clear: Mistral AI 7B provides more concise responses while ChatGPT excels in adhering to given guidelines. However, despite ChatGPT's perceived efficiency, the general preference tilted towards Mistral AI 7B.

Handling Tasks: Programming and Code Generation

The models were further scrutinized on their programming skills, an area that requires a sound understanding of languages and critical thinking. Current observations indicate that GPT 3.5 TURBO outperformed Mistral AI by successfully executing a Python programming task and generating a valid SVG code for a smiley image.

Data Contamination and Potential Issues

While ChatGPT and Mistral AI showcase commendable performance, concerns loom over potential data contamination in these models. The issue underpins controversies about the integrity of the datasets used in training these models and the resultant effect on their outputs. Detailed exploration of this issue remains crucial in maintaining the credibility of these AI tools.

Influence of Prompts

Various prompts such as "let's think step by step" were used to examine the models' capacities for logical reasoning and problem-solving tasks. Remarkably, neither model demonstrated significant improvement, suggesting potential struggles in tasks that involve explicit logical sequences or complex reasoning.

Conclusion

In conclusion, it is clear that while ChatGPT and Mistral AI hold significant potential in terms of their natural language processing capabilities, each shows particular strong points and limitations. Experts and AI enthusiasts are encouraged to consider these strengths and weaknesses when selecting an AI model for specific tasks. Although the comparison seems to favour Mistral AI 7B overall, it is important to remember that the optimal LLM may vary based on individual tasks, objectives, and requirements.