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Source channel @githubtrending · Post #14717 · May 18

#jupyter_notebook Learning about Large Language Models (LLMs) can be very beneficial. You can build exciting projects over eight weeks, starting with simple tasks and moving to more complex ones. This journey helps you develop deep expertise in AI and LLMs. You'll learn by doing hands-on projects, which is a fun and effective way to understand how these models work. By the end, you'll have skills that can be used in real-world applications, making it a valuable learning experience. https://github.com/ed-donner/llm_engineering

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Crypto M - Crypto News

@CryptoM · Post #65322 · 04/12/2026, 11:03 PM

🚀 AI TRENDS | MiniMax M2.7 Open Source Launches Globally with Key Partnerships On April 13, Jin10 reported that MiniMax, a domestic AI model company, announced the global open-source release of MiniMax M2.7 on April 12. According to Jin10, the launch involved collaborations with major chip manufacturers and inference platforms, including Huawei Ascend, Moore Threads, Muxi, Kunlunxin, NVIDIA, Together AI, Fireworks, and Ollama. On the first day of the open-source release, the model integration and inference adaptation were successfully completed. #AI#MiniMax#M2.7 #OpenSource#GlobalLaunch#Partnerships#HuaweiAscend#MooreThreads#Muxi#Kunlunxin#NVIDIA#TogetherAI#Fireworks#Ollama#InferencePlatforms#ChipManufacturers