Foundations of Large Language Models · HackerPapers discussions

Foundations of Large Language Models — HN submission

Wed, 04 Nov 2026 15:07:02 GMT

Foundations of Large Language Models

2 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.

Foundations of Large Language Models — HN submission

Mon, 28 Sep 2026 04:43:46 GMT

Foundations of Large Language Models

3 points; 1 discussion reply on HN. Paper and source history. A submission is not an endorsement.

Foundations of Large Language Models — mentioned by AdieuToLogic

Sat, 15 Aug 2026 01:30:34 GMT

See also: Foundations of Large Language Models[0] 0 - https://arxiv.org/pdf/2501.09223v2

Paper and discussion history. A mention is not an endorsement.

Foundations of Large Language Models — mentioned by AdieuToLogic

Thu, 01 Jan 2026 07:10:53 GMT

> An algorithm isn't really AI then. But they are though. For a seminal book discussing why and detailing many algorithms categorized under the AI umbrella, I recommend: Artificial Intelligence: A Modern Approach[0] And for LLMs specifically: Foundations of Large Language Models[1] 0 - https://en.wikipedia.org/wiki/Artificial_Intelligence:_A_Mod... 1 - https://arxiv.org/pdf/2501.09223

Paper and discussion history. A mention is not an endorsement.

Foundations of Large Language Models — mentioned by AdieuToLogic

Mon, 13 Oct 2025 06:02:43 GMT

> you are being obtuse, so i'll counter your obnoxious wikipedia link with my own and never reply to you again. And you are being myopic, so I will counter your trite response with my own link which explains why LLM's are very useful for what they are, but in no way what the hype proclaims them to be, and never reply to you again either. https://arxiv.org/pdf/2501.09223v2

Paper and discussion history. A mention is not an endorsement.

Foundations of Large Language Models — mentioned by AdieuToLogic

Sat, 16 Aug 2025 03:41:14 GMT

> That doesn't mean we _understand_ them, that just means we can put the blocks together to build one. Perhaps this[0] will help in understanding them then: Foundations of Large Language Models This is a book about large language models. As indicated by the title, it primarily focuses on foundational concepts rather than comprehensive coverage of all cutting-edge technologies. The book is structured into five main chapters, each exploring a key area: pre-training, generative models, prompting, alignment, and inference. It is intended for college students, professionals, and practitioners in…

Paper and discussion history. A mention is not an endorsement.

Foundations of Large Language Models — mentioned by MR4D

Thu, 23 Jan 2025 05:42:35 GMT

Me to ChatGPT: Assume you are a college instructor for a Freshman Computer Science course. Your job is to take a pdf file from the internet and teach the topics to you students. You will do this by writing paragraphs or bullet points about any and all key concepts in the PDF necessary to cover the topic in 2 hours of lectures The pdf file is at https://arxiv.org/pdf/2501.09223 Build the lecture for me.

Paper and discussion history. A mention is not an endorsement.

Foundations of Large Language Models — HN submission

Thu, 23 Jan 2025 01:33:26 GMT

Foundations of Large Language Models

219 points; 20 discussion replies on HN. Paper and source history. A submission is not an endorsement.

Foundations of Large Language Models — HN submission

Fri, 17 Jan 2025 17:47:56 GMT

Foundations of Large Language Models

3 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.