Large Language Models
Applied LLMs - What We’ve Learned From A Year of Building with LLMs
applied-llms.org
Prompt Engineering for LLMs
oreilly.com
The LLMentalist Effect: How Chat-Based Large Language Models Replicate the Mechanisms of a Psychic’s Con
Baldur Bjarnasonsoftwarecrisis.devSymbolicAI: A neuro-symbolic perspective on LLMs | Hacker News
news.ycombinator.com
This GPT will make your ideal clients love you.
open.substack.com
Agents Are Not Enough | Hacker News
news.ycombinator.com
The question of whether LLMs can reason is, in many ways, the wrong question. The more interesting question is whether they are limited to memorization / interpolative retrieval, or whether they can adapt to novelty beyond what they know. (They can't, at least until you start doing active inference, or using them in a search loop, etc.)
There are ... See more
François Cholletx.com