Hackernews posts about LLMs
LLMs is an acronym for Large Language Models, which refers to artificial intelligence language processing systems that can understand and generate human-like text.
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- AI Blindspots – Blindspots in LLMs I've noticed while AI coding (ezyang.github.io)
- Improving recommendation systems and search in the age of LLMs (eugeneyan.com)
- Writing an LLM from scratch, part 8 – trainable self-attention (www.gilesthomas.com)
- Sidekick: Local-first native macOS LLM app (github.com)
- Big LLMs weights are a piece of history (antirez.com)
- LLM Agents Are Simply Graph – Tutorial for Dummies (zacharyhuang.substack.com)
- People are just as bad as my LLMs (wilsoniumite.com)
- Asking LLMs to create my game Shepard's Dog (github.com)
- How much are LLMs boosting real-world programmer productivity? (www.lesswrong.com)
- Automating Interactive Fiction Logic Generation with LLMs in Emacs (blog.tendollaradventure.com)
- Simple Explanation of LLMs (blog.oedemis.io)
- Writing an LLM from scratch, part 10 – dropout (www.gilesthomas.com)
- LLM providers on the cusp of an 'extinction' phase as capex realities bite (www.theregister.com)
- Here's how I use LLMs to help me write code (simonwillison.net)
- Show HN: TypeLeap: LLM Powered Reactive Intent UI/UX (www.typeleap.com)
- LLMs Don't Know What They Don't Know–and That's a Problem (blog.scottlogic.com)
- AMD launches Gaia open source project for running LLMs locally on any PC (www.tomshardware.com)