SeachessIssue 2023-W17
Published on
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This week has been about the internals of databases, LLMs in Python, LLMs in Rust, a service offering pre-trained models, MVCC in Postgres and a tool to kill processes.
# Build Your Own Database From Scratch
A book diving into how persistence, indexing and concurrency work in a database. It walks through building a key-value store and a simple relational database.
# Hugging Face
A service providing a large range of machine learning components such as models and datasets.
# killport
A command-line tool for killing processes listening on specific ports.
# The Part of PostgreSQL We Hate the Most
An article on how PostgreSQL implements Multi-Version Concurrency Control (MVCC) and why it's problematic.
# LangChain
A Python library to assist in the development of applications using large language models (LLMs). It integrates with a couple of dozens of LLM providers (proprietary and open source) including OpenAI and Llama-cpp. LangChain.js is an equivalent implementation written in TypeScript.
For a quick overview you might want to read this article instead: Getting Started with LangChain
# llm-chain
A collection of Rust libraries to work with Large Language Models (LLMs) more effectively. Supports prompt templates, prompt-chaining, enabling complex tasks that LLMs can't handle in a single step. It supports connecting to ChatGPT, LLaMa, Alpaca and more.