SpoonOS is launching a co-learning program aimed at engaging participants in artificial intelligence programming topics and techniques. The program will feature a series of live-streamed sessions over the next few weeks, providing attendees the opportunity to acquire expert knowledge from professionals in the AI field while completing practical assignments designed to reinforce learning.

The inaugural session, titled LLM Inference and Reasoning, will be held on July 18, 2025, at 3:00 UTC and broadcast via the SpoonOS YouTube channel. Attendees will have a chance to win $200 in GAS and 10 OpenRouter API keys.

The first session will be taught by Zhou Zijian, PhD, a research engineer at SMART and former machine learning engineer at TikTok. Zhou holds a doctorate in computer science and a bachelor’s degree in computer science and mathematics from the National University of Singapore (NUS).

Bruce Yan, co-founder of the Berkeley Emerging Technology Association and holder of a master’s degree in development engineering from UC Berkeley, will host the session.

Attendees can expect an introduction to large language model (LLM) inference and reasoning techniques. Topics will include the fundamentals of tokenization and subword vocabulary design, probabilistic sampling methods like temperature and top-p sampling, fast inference techniques such as key-value caching and speculative decoding, and methods for eliciting reasoning from LLMs, including chain-of-thought prompting, tree-of-thought search, and Monte Carlo tree search. The session will also touch on the trade-offs between model size and inference-time reasoning, as well as efficiency considerations to manage “overthinking” in AI systems.

The original announcement can be found at the below link:
https://x.com/SpoonOS_ai/status/1944694964258230544

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