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4 articles
Learn how to integrate and work with DeepSeek's V4-Pro API, leveraging the recent 75% price cut to build cost-effective AI applications.
Learn to implement compressed sparse attention mechanisms that enable processing one-million-token context windows, similar to DeepSeek-V4's approach.
Learn to set up and experiment with DeepSeek-Prover-V2, an open-source LLM for Lean 4 theorem proving that uses recursive proof search and reinforcement learning.
Learn to implement hardware-aware co-design techniques for training large language models using PyTorch and CUDA, inspired by DeepSeek-V3 research.