Exploring AI Interaction through Jan.ai using Deepseek & Herms

Introduction

AI interaction is a fascinating topic that blends curiosity, adaptability, and creativity. This blog post explores how different models shape unique conversational flows and how these dynamics can be woven into a seamless experience.

Comparing AI Models

Herms

I chose the smaller data set named Herms3:3B

Herms is known for its structured and analytical approach. It excels in providing detailed explanations and breaking down complex topics into digestible pieces.

DeepSeek

I chose the smaller dat set named DeepSeek R1 Distill Qwen 1.5B

DeepSeek offers a more intuitive and exploratory style. It thrives in generating creative ideas and engaging in open-ended discussions.

Examples of AI Responses

Prompt: "Explain the concept of machine learning."

• Herms: Machine learning is a subset of artificial intelligence that focuses on enabling systems to learn and improve from experience without being explicitly programmed. It involves algorithms that analyze data, identify patterns, and make predictions or decisions.

• DeepSeek: Imagine teaching a computer to recognize a cat by showing it thousands of cat pictures. Over time, it learns to identify cats on its own. That's machine learning—a way for computers to learn from examples and improve their understanding.

Jan.ai and Conversational Threads

By using Jan.ai, a platform designed to create conversational threads, you can interact with both Herms and DeepSeek simultaneously. This interaction allows you to train both systems to respond more in line with your preferences and the shared conversation over time.

Conclusion

The dynamic between Herms and DeepSeek showcases the diversity in AI conversational models. By understanding their unique strengths, you can create a seamless and engaging experience that resonates with your audience.