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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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Google Facts™ [ ️@googlefactss🌎]

@googlefactss · Post #40364 · 12/19/2025, 07:02 PM

Chemists at UC Berkeley created a new catalytic process that turns plastic bags and bottles (polyolefins) into gases like propylene and isobutylene. These gases are used to make new plastics like polypropylene. The process uses cheap solid catalysts and can be scaled up for industrial use. This method helps recycle plastics better and supports a circular economy by turning waste into new materials. 🔄♻️ [Source] @googlefactss #plasticrecycling#catalysis#polyolefins#circularEconomy#sustainability#chemistry#innovation