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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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@kyveannouncements · Post #322 · 06/20/2023, 04:04 PM
💫 With our first mainnet data pool now live, making CosmosHub chain data trustless for the #interchain ecosystem, what blockchain should we start archiving & validating next? 🤔 Tag them in the comments below! 💬👇 https://twitter.com/KYVENetwork/status/1671187001075277825
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@kyveannouncements · Post #356 · 12/18/2023, 04:02 PM
KYVE is partnering with Syntropynet! Taking #interchain data to new bounds 💫 🤝 In the spirit of the #modular era, Syntropy & KYVE are each bringing forward their specialized data solutions to ensure a reliable, full-scope data experience from start to finish for both historical & real-time data streams. Learn more about this exciting partnership ⤵️ https://x.com/KYVENetwork/status/1736776359043539058?s=20
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