DeepSeek was one of the Chinese AI models that became viral instantly, with millions of downloads. and it claimed to be extremely cheap. I also started with it out of curiosity. My usage was mainly in content creation, curation, and research for my daily requirements of Social Media goals. This tool is useful for businesses, students, researchers, marketers, and coders. The interface is very simple and fast. We have 3 modes of appearance: System, Light, and Dark. Thinking and searching are quick. We can give inputs through the keyboard and the mic. The responses can be liked/disliked/shared or retried. Quite easy to implement and use. We have the option of agreeing or disagreeing on the usage of our content to be used to train the models and improve them. The control is in our hands. It answers questions promptly, summarizes text, and recommends ideas. I have used it for generating titles/ headlines for blogs and articles, and they were quite good. It solves puzzles smartly. Its strength is coding abilities. DeepSeek excels in software development due to its code-centric training on vast repositories, supporting 338+ languages like Python, JavaScript, and C++ with strong project-level completion. It can debug and suggest fixes. It also provides APIs for developers, chatbot interfaces, and options for local or cloud deployment. DeepSeek’s training and inference costs are cheaper than those of its competitors. DeepSeek offers open-source versions under permissive licenses, allowing developers to customize, modify, or self-host the models. This fosters community contributions and flexibility. It is often compared with Gemini in terms of its ability to integrate/capacity to handle large data and output. The choice of tools differs from user to user. It is an example of low-cost and smart engineering.

I found it better than other AI tools because it gave fresh responses. With other AI tools, I kept getting similar answers to every question, which made them feel repetitive.

It is easy to use and generates better results.