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 Visualization (bbycroft.net)
- The maths you need to start understanding LLMs (www.gilesthomas.com)
- An LLM is a lossy encyclopedia (simonwillison.net)
- Some thoughts on LLMs and software development (martinfowler.com)
- Experimenting with Local LLMs on macOS (blog.6nok.org)
- Making games in Go: 3 months without LLMs vs. 3 days with LLMs (marianogappa.github.io)
- Defeating Nondeterminism in LLM Inference (thinkingmachines.ai)
- Apertus 70B: Truly Open - Swiss LLM by ETH, EPFL and CSCS (huggingface.co)
- Adaptive LLM routing under budget constraints (arxiv.org)
- My experience creating software with LLM coding agents – Part 2 (Tips) (efitz-thoughts.blogspot.com)
- SpikingBrain 7B – More efficient than classic LLMs (github.com)
- A guide to Gen AI / LLM vibecoding for expert programmers (www.stochasticlifestyle.com)
- VaultGemma: The most capable differentially private LLM (research.google)
- Evaluating LLMs for my personal use case (darkcoding.net)
- In the long run, LLMs make us dumber (desunit.com)
- Writing with LLM is not a shame (reflexions.florianernotte.be)
- DeepConf: Scaling LLM reasoning with confidence, not just compute (arxiviq.substack.com)
- Setting up local LLMs for R and Python (posit.co)
- Practical approach for streaming UI from LLMs (www.timetler.com)
- The Delusion Machine – What happened when I fed my soul into an LLM (hedgehogreview.com)