Chinese AI startup DeepSeek releases its latest open-source large language model DeepSeek-V2, featuring 671 billion total parameters but requiring only 37 billion activated for efficient inference, with performance metrics approaching OpenAI's GPT-4o.
Meta officially launched Llama 3.1 series on July 24th Beijing time, with the 405B parameter version achieving 88.6% on MMLU benchmark, crowning it as the pinnacle of open-source large language model performance. The model not only excels in multilingual support and long-context processing but also offers free commercial licensing as a fully open-source solution, quickly igniting enthusiasm in the developer community.
DeepSeek team releases open-source LLM DeepSeek-V2 with 236B parameters requiring only 16GB VRAM for inference, outperforming Meta's Llama3 in mathematical benchmarks. The model has garnered over 150,000 reposts in Chinese communities, marking a major breakthrough for domestic AI in efficient large model development.
