How I Study AI - Learn AI Papers & Lectures the Easy Way

GLM-5: from Vibe Coding to Agentic Engineering

Intermediate

GLM-5 Team, Aohan Zeng et al.Feb 17arXiv

GLM-5 is a new open-weight AI model that moves from 'vibe coding' (prompting the model to write code) to 'agentic engineering' (letting the model plan, build, test, and fix software on its own).

#GLM-5#Agentic Engineering#DeepSeek Sparse Attention

Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs

Intermediate

Yu Liang, Zhongjin Zhang et al.Feb 2arXiv

This paper proposes ReSID, a new way to turn items into short token codes (Semantic IDs) that are much easier for a recommender to predict.

#Semantic IDs#Generative Recommendation#Representation Learning

SnapGen++: Unleashing Diffusion Transformers for Efficient High-Fidelity Image Generation on Edge Devices

Intermediate

Dongting Hu, Aarush Gupta et al.Jan 13arXiv

This paper shows how to make powerful image‑generating Transformers run fast on phones without needing the cloud.

#Diffusion Transformer#Sparse Attention#Adaptive Sparse Self-Attention

Papers3

GLM-5: from Vibe Coding to Agentic Engineering

Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs

SnapGen++: Unleashing Diffusion Transformers for Efficient High-Fidelity Image Generation on Edge Devices