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Transformer Foundations
KV Caching in Autoregressive Transformers
1 article>Generative Models
From Imitation to Refinement – Residual RL for Precise Robotic Assembly
1 article>Reinforcement Learning Path
From Imitation to Refinement – Residual RL for Precise Robotic Assembly
1 article>Math for Deep Learning
LoRA Fine-Tuning: Low-Rank Adaptation of Large Neural Networks
1 article>30 results
From Imitation to Refinement – Residual RL for Precise Robotic Assembly
A diagram-rich generated explanation from the public library.
HIL-SERL: Human-in-the-Loop Sample-Efficient Robotic Reinforcement Learning for Dexterous Manipulation
A diagram-rich generated explanation from the public library.
Imitation Bootstrapped Reinforcement Learning (IBRL)
A diagram-rich generated explanation from the public library.
AI Guardrails and Safety: From Failure Modes to Enforcement
AI guardrails and saftey
Machine-Checkable Termination Guarantees for Bayesian Trust in Multi-Agent Systems
A diagram-rich generated explanation from the public library.
Harness Engineering: Building Reliable Evaluation and Data Pipelines for ML Systems
Harness engineering
Dive into Claude Code: Design Space of Today’s and Future AI Agent Systems
A diagram-rich generated explanation from the public library.
Imitation Bootstrapped Reinforcement Learning (IBRL): Using Demonstrations in Exploration and Bootstrapping
A diagram-rich generated explanation from the public library.
KV Caching in Autoregressive Transformers
KV Caching
Speculative Decoding: Lossless Acceleration for Large Language Models
Speculative Decoding in LLM's
World Action Models are Zero-shot Policies: The DreamZero Approach
A diagram-rich generated explanation from the public library.
Odysseus: Stable RL Training of VLMs for Long-Horizon Game Decision-Making
A diagram-rich generated explanation from the public library.
ECHO: Turning Terminal Feedback into Dense Supervision for Agent RL
A diagram-rich generated explanation from the public library.
Mastering the Game of Go with Deep Neural Networks and Tree Search
AlphaGo paper combining deep neural networks with tree search for superhuman Go play
Vision-Language-Action Models: From Pixels and Instructions to Robot Actions
VLA (Vision Language Action Models)
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
MoE architecture for efficient LLM scaling via specialized experts
Maximum Likelihood Reinforcement Learning (MaxRL): A Compute-Indexed Bridge from RL to Log-Likelihood
RL framework that approximates maximum likelihood for binary-outcome tasks.
Reinforcement Learning for Large Language Models: Group Relative Policy Optimization (GRPO)
GRPO and RL for LLM's
Kubernetes Architecture and Networking in Depth
Explain Kubernetes architecture including networking in depth
LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architectures from Pixels
Stable JEPA-based world model that learns and plans from raw pixels.
Recursive Language Models: Scaling LLM Contexts via Symbolic Recursion
Language models that recursively refine or compose intermediate reasoning/representations.
Vector Embeddings and Vector Databases
Vector Embeddings and Vector Databases
Mamba-3: Improved Sequence Modeling using State Space Principles
Mamba-3: Improved Sequence Modeling using State Space Principles
World Models: Learning to Dream for Efficient Reinforcement Learning
World Models
I-JEPA: Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
Self-supervised vision model for learning image representations.
Transformers: Attention, Architecture, Training, and Scaling
Transformers
Diffusion Models and Flow Matching: From Score-Based Diffusion to Continuous Normalizing Flows
Diffusion and flow-matching
LoRA Fine-Tuning: Low-Rank Adaptation of Large Neural Networks
LORA Fine-tuning (Low rank adaption)
Variational Autoencoders: Principles, Derivations, and Applications
Variational auto-encoders
Policy Gradient Methods
policy gradient methods