Research

Notes, papers, and the ideas worth keeping.

This page is the written trail behind the work: what I read, what I learned, and what I want to remember.

Searchable notes

Store articles, observations, and summaries in one place.

Reading list

Books, courses, and papers can all live here.

Thought log

A place for the ideas you want to build on later.

Research & Notes

Archive
Local AI Deployment: Ollama vs API Costs

Running models locally with Ollama + DeepSeek eliminates per-token API costs. Trade-off: need decent hardware (16GB+ RAM for 7B models). Groq provides fast inference via cloud but with rate limits. Best hybrid: local for development/experimentation, Groq for demo/production with caching.

#AI#deployment#local-inference#ollama
ERC-721 vs ERC-1155 — When to Use Which

ERC-721: Each token is unique (1:1 NFTs, land deeds, identity). ERC-1155: Multi-token standard — can represent both fungible and non-fungible tokens in a single contract. Used ERC-1155 in Land Trust for batch transfers and gas efficiency. ERC-721 for unique property deeds.

#web3#ethereum#NFT#solidity
Transformer Architecture — Key Takeaways

The transformer architecture replaces recurrence with self-attention, enabling parallelization. Key concepts: multi-head attention, positional encoding, layer normalization. The 'Attention Is All You Need' paper introduced this in 2017, and it's now the backbone of GPT, BERT, T5, and every modern LLM.

#transformers#attention#NLP

Index

  • AI & Machine Learning
  • Web Architecture
  • Design Systems
  • Computer Science