Logic Operations There are 4 operators, they are ¬\neg¬, ∧\land∧, ∨\lor∨, ⇒\Rightarrow⇒, the outcome of the operation is the Truth Table. For proposition ¬A\neg A¬A A 0 1 ¬\neg¬A 1 0 For com

This is a lecture note of the course CSE 234 - Data Systems for ML - LE [A00].From UC SanDiegoProf. Zhang HaoWinter, 2025Link: https://podcast.ucsd.edu/watch/wi25/cse234_a00/1

1 Preliminaries Mixture-of-Experts is an essential architecture choice when building LLMs. Since the prevalence of DeepSeekV3, companies will consider whether to use MoE structure before LLM pretraini

This is a lecture note of the course CSE 234 - Data Systems for ML - LE [A00].From UC SanDiegoProf. Zhang HaoWinter, 2025Link: https://podcast.ucsd.edu/watch/wi25/cse234_a00/1

This is a lecture note of the course CSE 234 - Data Systems for ML - LE [A00].From UC SanDiegoProf. Zhang HaoWinter, 2025Link: https://podcast.ucsd.edu/watch/wi25/cse234_a00/1

This is a lecture note of the course CSE 234 - Data Systems for ML - LE [A00].From UC SanDiegoProf. Zhang HaoWinter, 2025Link: https://podcast.ucsd.edu/watch/wi25/cse234_a00/1

This is a lecture note of the course CSE 234 - Data Systems for ML - LE [A00].From UC SanDiegoProf. Zhang HaoWinter, 2025Link: https://podcast.ucsd.edu/watch/wi25/cse234_a00/1

The series of tutorial is based on Flow Matching Guide and CodearXiv: 2412.06264Thank you, META Flow Matching Problem Instead of learning the likelihood of the target like they

The series of tutorial is based on Flow Matching Guide and CodearXiv: 2412.06264Thank you, META Flow Models Before flow matching, flow models are hard to train, it entails solv

The series of tutorial is based on Flow Matching Guide and CodearXiv: 2412.06264Thank you, META 1 The Definition of the Velocity ODE Let’s consider a particle moving in the spa