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Intro to singe-nvml Rust crate.
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How to debug a deadlock in Rust?
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A collection of async primitives for TypeScript.
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Can I build my own AWS Lambda, though?
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Combining LSM-tree storage with HNSW-like routing to provide update-friendly disk-based vector search.
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Did somebody ask for a monad?
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How can we generate a sitemap in a TanStack Start app?
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Paper notes for Blockwise Parallel Transformer for Large Context Models.
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Paper notes for Ring Attention with Blockwise Transformers for Near-Infinite Context.
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Paper notes for GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints.
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Paper notes for Fast Transformer Decoding: One Write-Head is All You Need.
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Paper notes for Fast Inference from Transformers via Speculative Decoding.
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Paper notes for Effective Long-Context Scaling of Foundation Models.
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Paper notes for YaRN: Efficient Context Window Extension of Large Language Models.
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Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention | Paper Notes
Paper notes for Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention.
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Paper notes for Longformer: The Long-Document Transformer.
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Paper notes for FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness.
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Paper notes for Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation.
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Paper notes for The Impact of Positional Encoding on Length Generalization in Transformers.
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Paper notes for RoFormer: Enhanced Transformer with Rotary Position Embedding.
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Paper notes for ReAct: Synergizing Reasoning and Acting in Language Models.
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Paper notes for Tree of Thoughts: Deliberate Problem Solving with Large Language Models.
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Paper notes for Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.
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Paper notes for Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.
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Paper notes for Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.
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Paper notes for Language Models are Few-Shot Learners.
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Paper notes for Language Models are Unsupervised Multitask Learners.
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Paper notes for BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
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Paper notes for Improving Language Understanding by Generative Pre-Training.
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Paper notes for Attention Is All You Need.
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Paper notes for Neural Machine Translation by Jointly Learning to Align and Translate.
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Paper notes for Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference.
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Paper notes for Sequence to Sequence Learning with Neural Networks.
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Paper notes for GloVe: Global Vectors for Word Representation.
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Paper notes for Efficient Estimation of Word Representations in Vector Space.
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A pointer is just the address of a memory location, right?
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Let's talk about building a real-time trending hashtag system.
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How to go from a monolith to microservices and should you?
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Learn how to create custom Rust bindings for Raylib and how to approach C interoperability in general.
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What are intelligent agents anyway?
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This is a simple utility I wrote to validate Next.js server actions with Zod.
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Let's work with CUDA in Rust without external crates.
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Processes being units of concurrency is silly, right?
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Some thoughts about "Mojo outperforming Rust".
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Showing my common use cases for declarative macros in Rust.
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Running Next.js standalone app with sharp inside Docker cannot be that hard, right?
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This article describes an error handling pattern with React and Redux-Saga.
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This article shows how to generate realistic traffic using Markov Chains.
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This article gives an argument on why services in microservices architecture should always be idempotent.
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This article shows how to perform rate limiting in Rust using Redis.