In technology, changes are happening faster than ever. Just two years ago, ChatGPT burst onto the scene with generative artificial intelligence that captivated the world and marked a turning point in how we interact with AI. Since then, evolution has not stopped, and new players have emerged with increasingly sophisticated solutions.
Recently, a Chinese startup founded in 2023 has made waves with revolutionary technology capable of delivering superior performance with less processing power. We’re talking about DeepSeek, the company everyone is discussing, which is built on innovative technology.
What is DeepSeek’s secret?
DeepSeek is based on an artificial intelligence language model called DeepSeek-R1-Zero (now evolved into DeepSeek-R1), trained through reinforcement learning, a type of machine learning where an autonomous agent learns to perform a task through trial and error without human instructions. This solution offers enhanced reasoning capabilities with lower resource consumption.
1. Advanced Reasoning Capabilities
DeepSeek R1 has proven to be comparable to OpenAI’s models in reasoning tasks, a remarkable achievement considering the hardware limitations the startup faces due to the US embargo on cutting-edge chips.
This advanced reasoning capability is not exclusive to DeepSeek. Companies like Google, with the launch of Gemini 2.0, have also invested in integrating advanced reasoning into their models, and OpenAI continues to refine its techniques through reinforcement learning to tackle more complex problems.
However, what truly sets DeepSeek apart is the development of an open-source model that delivers competitive results without relying on massive infrastructure investments. This has challenged the US industry, which advocated for increasing resources to respond to the most popular AI language models.
2. Lower Resource Consumption
The new generative AI model has achieved greater cost efficiency by using a Mixture of Experts (MoE) architecture, which reduces the resources needed to train AI models. Instead of activating the entire neural network, MoE divides the model into specialised sub-networks, activating only those necessary for each task.
This reduces computational costs during pre-training and improves performance during inference, enabling more efficient use of resources.
An Opportunity for Growth
The emergence of DeepSeek has reignited the debate about the high resource consumption of generative AI, but it has also opened new opportunities to develop more accurate models at an accessible cost. Far from being an obstacle for tech companies, this reality represents a chance to improve efficiency and reduce infrastructure costs.
Advances in model optimisation and specialised hardware are driving the development of more sustainable and scalable solutions. This not only benefits large corporations but also makes generative AI more accessible to startups and independent developers, democratising a technology that was once reserved for companies with large budgets. In this context, competition is intensifying, and businesses across various sectors are already adopting more efficient models.
Boost Your Business with AI
AI is transforming how companies optimise processes, improve customer service, and make strategic decisions. From automating repetitive tasks to personalising products and services, AI enhances efficiency and delivers more innovative experiences.
Implementing AI-based solutions not only reduces operational costs but also opens new growth opportunities. With accessible tools and increasingly accurate models, any business can leverage its potential to gain competitiveness and stay ahead of market demands.
Want your business to start benefiting from generative AI? At PGR Marketing & Technology, we’re here to help you achieve it as soon as possible.
