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Secure Machinery

On the evolution of security and intelligent machinery

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IoT Security

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Loss functions and optimizers – Adam and Muon and the Hessian of the loss function.
Understanding Reasoning in Thinking Language Models via Steering Vectors – a summary and analysis
Toy models of superposition – Anthropic paper summary
Invitation Is All You Need: How a Calendar Event Became an Attack Vector
Chronological list of known learned representations (increasing date)
Anthropic: Activations to Interpretable features with Monosemanticity
Absolute Zero: zero reliance on external data to improve model reasoning
RDMA, Infiniband, RoCE, CXL : High-Performance Networking Technologies for AI
vLLM project – overview, comparisons, PagedAttention mechanism
AI Risks Repository from MIT
Sizing an LLM for GPU memory
SageMaker Hyperpod for Distributed Model Training
LLM optimization – PEFT, LORA, QLORA
Direct Preference Optimization (DPO) vs RLHF/PPO (Reinforcement Learning with Human Feedback, Proximal Policy Optimization)
GPU kernel functions for deep learning
TorchScript for Model Optimization and Model Serving
AlphaFold for protein structure prediction with deep learning – how does it work
Transformer revisited
Deep Reinforcement Learning key papers
LLM evolution – Anthropic , AI21, Cohere, GPT-4

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AWS Security talks 2019

Written by Ruchir Tewari

Collection of interesting talks on AWS security at re:Invent and re:Inforce 2019.

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December 29, 2019April 5, 2021 · Posted in auth, AWS, cloud, security · Tagged cloud security ·

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