In our latest episode, we break down the innovations of DeepSeek’s AI that have left the tech world in awe. Find out how DeepSeek’s unique approach makes developing new AI applications for startups far more affordable, requiring significantly less venture capital or other investments.
Contextually, training AI models is a massive financial burden. Companies like OpenAI and Anthropic spend over $100 million on computations alone. However, DeepSeek rethinks the entire process, managing to perform these tasks with a fraction of the cost of $5 million (according to DeepSeek). Their model has outperformed GPT-4 and Claude, with impressive results achieved through memory reduction techniques and a multi-token system. They employ a ‘specialist system,’ activating only the necessary parameters, leading to potentially staggering efficiencies.
The implications of this are profound: AI development becomes more accessible, competition heats up, and hardware requirements and costs drop dramatically. This episode uncovers why this might be a turning point for AI. Tune in to understand how DeepSeek may be disrupting the AI landscape and what it means for many jobs.
