ChatGPT has been regarded as one of the best chatbots to date, but the DeepSeek founder has greatly impacted the global landscape with the launch of an AI model with DeepSeek.
Liang Wenfeng founded the company in 2023, and it is becoming popular now. The company launched new models of the DeepSeek app, such as V3, R1, etc., with Janus Pro-7B being the latest LLM (large language model), bringing a challenge for ChatGPT and other US-based AI companies. Here, we discuss why this AI model is so special.
DeepSeek’s Innovative Techniques
One of the major reasons behind the App’s popularity is its innovative techniques. Check out what techniques this app uses in the following sections:
Reinforcement Learning
This AI model uses pure reinforcement to learn, gain insights from trials and errors, and self-improve. The company shares that this approach effectively developed the app’s R1 model’s reasoning capability.
Use of MoE Architecture
It utilises a mixture-of-experts architecture (MoE), simultaneously reducing computational costs and enhancing efficiency. It can be understood as a team of experts, each specialised in different tasks. Only relevant experts are called to perform a task, ensuring efficient resource use.
Multi-Headed Latent Attention
The DeepSeek app uses multi-headed latent attention to improve data processing by handling multiple input aspects simultaneously. This enhanced attention mechanism leads to impressive performance.
Distillation Techniques
This AI model employs distillation techniques to transfer the capabilities and knowledge of larger models to smaller and more efficient ones, making powerful AI accessible to multiple devices. Distillation also enables smaller AI models to possess advanced reasoning and language processing capabilities.
Innovations Don’t Take Billions
DeepSeek Apps’ cost-efficient approach is admirable and proves that innovations don’t always take billions. Learn about the app’s cost-efficient approach from the following points.
Reducing Training Cost
As mentioned above, the app uses reinforcement learning and an efficient mixture-of-experts architecture. This significantly reduces the computational resources required for training, leading to lower costs. For instance, the V3 model was trained for a fraction of the cost of comparable models from Meta.
Affordable API Pricing
The app’s API (Application Programming Interface) pricing is much lower than its competitors. For instance, R1’s API costs $0.55 and $2.19 per million input and output tokens, respectively. However, OpenAI’s API costs $15 and $60, respectively.
Open-Source Model
It uses an open-source approach to eliminate licensing fees and enhance cost efficiency. This allows developers to access, modify, and deploy the app freely.
How to Use DeepSeek?
To use the app on laptops or smartphones, go to the app store and download it or type “chat.deepseek.com” in your device browser. Then, create an account using your Gmail ID. A ChatGPT-like interface offers a text box at the bottom to give prompts.
Challenges for DeepSeek
Like all of its competitors, including ChatGPT, this AI model faces three major challenges:
Competitive Landscape
Despite being impressive, the app is facing challenges from competition. The competitors have been in the market for a long time, continuously innovating and releasing new models. This AI model must maintain a rapid pace of innovation and differentiate offerings.
Market Perception
This AI model may struggle to establish the same level of trust and recognition as Google and OpenAI. Only a track record featuring consistently high performance and reliability can establish this app in the market.
Comput Gap
The app might be impressive, but it has significant computing disadvantages led by U.S. export control on advanced chips. This prevents the model from accessing the latest hardware to empower its AI models.
DeepSeek founder must be happy because this AI model is rivalling the American technology giant with impressive features. It opens a broader spectrum for users, including small businesses, researchers, and developers.
