Hackernews posts about LLM
LLM is a type of large language model that uses artificial intelligence and machine learning algorithms to generate human-like text responses.
- LLM-powered tools amplify developer capabilities rather than replacing them (matthewsinclair.com)
- Teaching LLMs how to solid model (willpatrick.xyz)
- The Policy Puppetry Attack: Novel bypass for major LLMs (hiddenlayer.com)
- SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators (machinelearning.apple.com)
- LLMs understand nullability (dmodel.ai)
- LLMs can see and hear without any training (github.com)
- Yann LeCun, Pioneer of AI, Thinks Today's LLM's Are Nearly Obsolete (www.newsweek.com)
- Show HN: LocalScore – Local LLM Benchmark (www.localscore.ai)
- Meaning Machine – Visualize how LLMs break down and simulate meaning (meaning-machine.streamlit.app)
- Neural Graffiti – Liquid Memory Layer for LLMs (github.com)
- Automating Interactive Fiction Logic Generation with LLMs in Emacs (blog.tendollaradventure.com)
- LLM Benchmark for 'Longform Creative Writing' (eqbench.com)
- Calypso: LLMs as Dungeon Masters' Assistants [pdf] (andrewhead.info)
- LLM providers on the cusp of an 'extinction' phase as capex realities bite (www.theregister.com)
- Does RL Incentivize Reasoning in LLMs Beyond the Base Model? (limit-of-rlvr.github.io)
- Recursive LLM prompts (github.com)
- Smartfunc: Turn Docstrings into LLM-Functions (github.com)