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DeepSeq vs Chatput vs Gemini: Can a low-cost model outperform Google, Openai and other tech giants? , mint

In the ever-evolving world of Artificial Intelligence, a new player has emerged that is sending shockwaves through Silicon Valley and beyond. DeepSeq, a Chinese startup founded a year ago, has developed an AI model that is offering shockingly comparable performance to industry giants like OpenAI’s Chat and Google’s Gemini, but at a fraction of the cost.

Formed in Hangzhou, China, this innovative company has attracted attention not only for its impressive technological advancements, but also for its challenge to established beliefs about the future of AI development.

What is DeepSec?

DeepSeq is a mobile app and AI model that has quickly gained traction, especially after its January release. The app shot to the top of iPhone download charts in several countries, including the US, UK and Australia. Unlike traditional chatbots, DeepSec’s technology differentiates itself by articulating its reasoning before generating a response. This approach, according to the company, makes its responses more logical and considered than other AI systems, such as CHATGPT.

Founded by Liang Wenfeng, CEO of AI-driven hedge fund High-Flyer, DeepSec works with an open-source model, allowing developers to build on its technology. The startup’s R1 release, the first major version of its model, claims to deliver similar performance levels to Openai’s latest offerings, with the added benefit of lower operating costs.

deepsec vs chattap vs mithun

When comparing DeepSeq to its most prominent rivals, Openai’s CHATGPT and Google’s Gemini, there are significant differences in both performance and infrastructure.

Display:
On various key benchmarks, including Aime 2024 for mathematical tasks, MMLU for general knowledge, and Alpacaeval 2.0 for question-answering, DeepSeek’s R1 model has shown itself to be a formidable competitor, Bloomberg reported.

In fact, DeepSec often matches or exceeds the performance of both Chat and Gemini. For example, in the chatbot arena associated with UC Berkeley, DeepSec ranks among the top performers, challenging Chatgate and Gemini, long considered the gold standard in AI.

Capacity:
One of the major advantages of DeepSeq is its efficiency. While Openai and Google poured billions into developing ever-larger AI systems powered by cutting-edge hardware from companies like NVIDIA, DeepSeq’s success lies in achieving the same performance with less resource consumption. This raises an important question: does AI development need to be as energy-intensive and expensive as it currently is? DeepSeq’s success challenges the narrative that building the next Big AI model requires more power and money.

Cost:
This efficiency translates into a significant cost advantage. Reportedly, DeepSec’s development and training costs are much lower than its Western counterparts. This has deep implications for the AI ​​industry, especially when you consider the billions of dollars spent by companies like Meta and Microsoft to build AI infrastructure. With DeepSec’s model, a more affordable alternative to the likes of Chat and Gemini, it may soon become the go-to for developers looking to integrate cutting-edge AI into their products without breaking the bank.

read , What is China’s DeepSec and why is this AI scaring the world?

Shortcomings of DeepSec

However, DeepSec is not without its flaws. Like most Chinese AI models, it is designed to self-censor on politically sensitive topics. According to Bloomberg, questions about the Tiananmen Square incident or Taiwan’s sovereignty, for example, have been met with ambivalent responses or outright deflected. This is a known limitation in Chinese AI models, reflecting the government’s tight control over information.

Furthermore, with the sudden rise in popularity, DeepSec’s infrastructure has been put to the test. The company experienced a significant outage on January 27, highlighting the potential risks that sometimes come with rapid growth and an ever-expanding user base. How well it can scale its system to handle increased demand.

future of ai

DeepSeq’s success represents a new chapter in the development of artificial intelligence, challenging assumptions around power, cost and infrastructure. If its models continue to outperform rivals like Chat and Gemini at a lower price, it could force the entire AI industry to rethink its strategies.

As the company grows and expands its user base, its open-source model could become an important tool for developers around the world, increasing the speed at which AI-driven technologies are adopted across industries. Whether DeepSec can maintain its momentum and keep its costs down, however, will be the true test of its long-term viability.

(With inputs from Bloomberg)

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