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• AI/ML Pathway Study Group Learning Cohort: AI/ML Pathway: Part II - LLM and Advanced Topics of GenAI is starting Nov.1. Join by discord or Wechat.
• Coming soon: Real AI and ML interview questions from top companies like OpenAI, Anthropic, and DeepMind. </aside>

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Master AI & ML with Educatum, Your AI University

Curated resources from leading universities and industry experts to help you master artificial intelligence.

Build your knowledge base, and prepare for interviews.

Join study group and learn together.

Discover top AI tools and companies.

Connect with like-minded professionals.

No Ads, no noise

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<aside> 🧑‍🤝‍🧑

Upcoming Study Group: AI/ML Pathway: Part II - LLM and Advanced Topics of GenAI

We are thrilled to celebrate the successful conclusion of our inaugural study group👉, AI/ML Pathway: Part I - Fundamentals Review, which officially wrapped up on October 12th. A huge congratulations to all the participants for their dedication and hard work in mastering the core concepts of AI and machine learning.

Building on that incredible momentum, we are excited to announce that the next stage of our learning journey is just around the corner: AI/ML Pathway: Part II - LLM and Advanced Topics of GenAI, which kicks off on November 1st. To get all the updates and join the conversation, make sure you're in our Discord/Wechat!

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New: "Study With Me" on Discord!

Need some dedicated, focused study time? We're launching new "Study With Me" sessions on our Discord.

These are silent, video-optional hours for quiet companionship and focused work. No discussion, just you and the group studying together.

• When: Every Tuesday, Thursday & Saturday
• Time: 6:00 PM - 7:00 PM Pacific Time

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Offerings

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<aside> <img src="/icons/gem_blue.svg" alt="/icons/gem_blue.svg" width="40px" /> AI ML Interview Questions

FANG AI and Machine learning interview questions and answers. AI system design questions.

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<aside> <img src="/icons/gem_blue.svg" alt="/icons/gem_blue.svg" width="40px" /> AI ML Curated Courses

AI ML courses from top schools like Stanford MIT.

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<aside> <img src="/icons/gem_blue.svg" alt="/icons/gem_blue.svg" width="40px" /> AI Study Groups

Join small study groups with people like you, facilitated by experienced leads.

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<aside> <img src="/icons/gem_blue.svg" alt="/icons/gem_blue.svg" width="40px" /> Jobs and Hiring AI Companies

Browse open positions at top AI companies.

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<aside> <img src="/icons/gem_blue.svg" alt="/icons/gem_blue.svg" width="40px" /> Leetcode Notion Templates

Access top LeetCode questions, track your progress, and get review reminders.

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<aside> <img src="/icons/gem_blue.svg" alt="/icons/gem_blue.svg" width="40px" /> AI Tools

Popular AI tools to boost productivity.

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<aside> <img src="/icons/gem_blue.svg" alt="/icons/gem_blue.svg" width="40px" /> Entrepreneurship Resources

Marketing Tactics for Your New Product Debut.

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<aside> <img src="/icons/gem_blue.svg" alt="/icons/gem_blue.svg" width="40px" /> Mentorship, Resume & Interview Coaching

Connect with expert mentors, or be a mentor; Get resume feedback from human and practice mock interviews

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<aside> <img src="/icons/gem_blue.svg" alt="/icons/gem_blue.svg" width="40px" /> Behavioral Questions

Answer behavioral questions with frameworks.

</aside>

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Today's Pick

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<aside> 🔥

Kimi K2 Open-Source Agentic Model Tech Blog

1. Open-Source Agentic Intelligence: Kimi K2 is introduced as a state-of-the-art, open-source Mixture-of-Experts (MoE) model specifically designed for agentic intelligence. Its core philosophy is to "act, not just answer," meaning it is optimized to autonomously use tools, execute code, and perform complex, multi-step tasks.
2. MuonClip Optimizer for Stable Training: The blog highlights a key technical innovation called the MuonClip Optimizer. This new optimizer solves the critical problem of training instability ("exploding attention logits") in large-scale models, enabling the robust and efficient pre-training of Kimi K2 on 15.5 trillion tokens without a single training spike.
3. Advanced Agent Training Methodology: Kimi K2's agentic skills are developed through a sophisticated pipeline that combines Large-Scale Agentic Data Synthesis—to generate vast, high-quality tool-use training data—with General Reinforcement Learning, which uses a self-judging mechanism to improve performance on tasks with both verifiable and non-verifiable rewards.

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<aside> <img src="/icons/reorder_gray.svg" alt="/icons/reorder_gray.svg" width="40px" />

Interview Prep

Learn AI ML

AI/ML Pathway: Part I - Fundamentals Review

AI Tools & Resources

Contacts & Community

Picks Archive

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Coming Soon

Interview Question Driven Learning(Coming Soon)