FAQThe Evolution of AI: DeepSeek, Apex Engine and Lower Costs
The cost of training Large Language Models (LLMs) has declined dramatically over the years, opening new doors for innovation across industries. Back in 2021, initial training an LLM cost an average of $10 million, or more. Retraining could cost upwards of $1.75 million depending on the targeted industry and applicational use. Today, those costs have dropped significantly to an estimated $1.5 to $3 million. This dramatic reduction is a game-changer for companies like TGS Tech and products like Apex Engine, paving the way for more cost-effective and efficient AI integrations.
One notable example of this trend is DeepSeek, a new LLM from China that has captured the tech world's attention. Its launch has surprised many, not just because it comes from a region not traditionally seen as a leader in AI innovation, but also due to its lower resource demands. Unlike some of the bigger players like ChatGPT or Claude, DeepSeek’s efficiency enables more users to run it offline, highlighting the strides made in AI model optimization.
For industry giants, this week’s market fluctuations in response to DeepSeek’s debut are a mixed bag. However, for smaller companies like TGS Tech, these advancements present massive opportunities. The increasing efficiency of LLMs and Small Language Models (SLMs), coupled with decreasing costs, allows for deeper AI integration into our products—most notably Apex Engine.
How This Benefits Apex Engine and Our Clients
We have always aimed to push the boundaries of innovation, and the evolution of AI aligns perfectly with our mission. Apex Engine, our revolutionary cloud-based development platform, is already designed to enable real-time collaboration and seamless 3D project creation. With the decreasing costs of AI model training, we can integrate advanced AI-driven tools without passing excessive costs to our clients.
For instance, Apex Engine’s in-house AI models will enhance features like real-time debugging, intelligent code suggestions, and advanced asset management. By leveraging these capabilities, developers will experience faster workflows, reduced iteration cycles, and higher-quality results—all within a single platform. These improvements will not only streamline the development process but also make it more accessible to smaller teams and independent creators, leveling the playing field in 3D interactive development.
Lower Costs Mean Broader Access and Innovation
The affordability of constructing internal AI models also benefits our clients directly. By embedding in-house AI solutions into Apex Engine, we can deliver state-of-the-art tools that help clients save time and money. Whether it’s through intelligent automation in game development, enhanced design tools for simulation and training, or real-time data insights for digital twins, these advancements make Apex Engine a powerful, cost-effective solution for a wide range of industries.
Moreover, the declining costs of AI technology create an ecosystem ripe for innovation. Smaller tech firms, like TGS Tech, can now develop AI-powered tools that were previously the domain of larger corporations. This democratization of technology is likely to spark a wave of new and exciting innovations, benefiting both developers and end-users.
The Future of AI and Apex Engine
As AI continues to advance, we can only imagine the kinds of innovative technologies that might emerge. At TGS Tech, we’re committed to staying at the forefront of these advancements, ensuring Apex Engine evolves to meet the needs of our users. By investing in efficient, in-house AI models, we can maintain our edge as a next-generation development platform that empowers creators across industries.
Lower AI costs represent more than just a financial advantage; they symbolize the potential for a future where innovation knows no bounds. For TGS Tech and Apex Engine, that future is already within reach.