The launch of Chinese tech startup DeepSeek's new artificial intelligence chatbot has taken the internet by storm. All thanks to the controversy surrounding it. The AI chatbot is also being accused of copying Sam Altman's OpenAI ChatGPT.
These eventually ignited debates over the AI competition between U.S. and China. Let's get a deeper insight into how the debates rose and why.
Decoding DeepSeek AI
DeepSeek has been making AI headlines globally, resulting in market tremors and shaking up Silicon Valley. On Tuesday afternoon, DeepSeek’s AI assistant rose to the top as the most downloaded free app on Apple’s iPhone store. This resulted a fall in the stocks of prominent U.S. tech giants. But what happened? Here's what makes DeepSeek a popular choice:
DeepSeek manages to train AI models at just 1/30th the usual cost. All thanks to its optimized hardware and focus on essential components.
The models developed by DeepSeek are open-source. This allows developers to customize and innovate freely.
DeepSeek employs techniques such as Auxiliary-Loss-Free Load Balancing and Low-Rank Key-Value Joint Compression to enhance efficiency.
OpenAI Vs DeepSeek AI
As the AI war continues, here's a brief comparision of the two 'popular' AI tools.
Targeted Industries: GPT-4’s versatility makes it best for a wide range of content creation tasks. This includes writing stories, articles, poems, and even help in coding. Its ability to adapt to different tones and writing styles makes it a tool useful for writers, marketers and developers.
On the other hand, DeepSeek’s niche lies on transparency which aligns with the growing demand for Explainable AI. DeepSeek’s ability to provide clear explanations can build trust and accountability. Thus, making it suitable for applications where it’s crucial to understand how AI systems make decisions. This includes sectors such as finance, legal and healthcare, among others.
Strength and Weakness: DeepSeek AI's strength lies in transparent reasoning that enhances user trust and interpretability and Performance parity with leading benchmarks. Also, the open-source initiative encourages broader community participation.
On the other hand, OpenAI is highly versatile in addressing diverse tasks and has also demonstrated benchmark performance. Besides this, it highlights a strong foundation in research and continuous development.
Coming to the weakness part, both the AI models have some loopholes. Here's a comparison given:
OpenAI lacks a default reasoning process and is not transparent to users. Also, its proprietary models limit opportunities for external contributions.
Comparatively, DeepSeek AI has restrictions on content. This may limit engagement on sensitive topics. In addition to that the model requires additional independent evaluations to substantiate performance claims.
