Explainer Videos

🚀 Feeling overwhelmed by the constant flood of new AI papers? You’re not alone.

My process: I read the full paper, then use Google’s NotebookLM to help me analyze, question, and distill the core concepts. I turn that research into a short, easy-to-understand video summary, so you can get the key insights without spending hours on dense academic text.

This playlist is for you if you’re:

👉 A student or developer wanting to stay on the cutting edge.

👉 An AI enthusiast curious about the latest tech.

👉 A professional who needs to save time but stay informed.

Subscribe and hit the bell so you never miss a breakdown of the next big thing in AI!

Note: I only claim to have read the research paper and created a Video using AI tool. I am not the author. All intellectual heavy lifting was performed by the respective authors. 🙏

AutoMaAS Self-Evolving Multi-Agent Architecture Search for Large Language Models

AgenticRAG Tool-Augmented Foundation Models for Zero-Shot Explainable Recommender Systems

WALT Web Agents that Learn Tools

Towards Interpretable and Inference-Optimal COT Reasoning with Sparse Autoencoder-Guided Generation

The Unreasonable Effectiveness of Scaling Agents for Computer Use

The Reasoning Boundary Paradox How Reinforcement Learning Constrains Language Models

Pun Unintended: LLMs and the Illusion of Humor Understanding

Rethinking KL Regularization in RLHF From Value Estimation to Gradient Optimization

REBot From RAG to CatRAG with Semantic Enrichment and Graph Routing

More Than One Teacher Adaptive Multi-Guidance Policy Optimization for Diverse Exploration

HANRAG: Heuristic Accurate Noise-resistant Retrieval-Augmented Generation for Multi-hop Q&A

Sharing is Caring: Efficient LM Post-Trainingwith Collective RL Experience Sharing

Modeling Others' Minds as Code

Learning to Reason for Hallucination Span Detection

Improving AGI Evaluation A Data Science Perspective

GRACE A Language Model Framework for Explainable Inverse Reinforcement Learning

Fine-tuning with RAG for Improving LLM Learning of New Skills

ExGRPO Learning to Reason from Experience