Commenters are divided on whether Anthropic's IPO represents a necessary step for scaling infrastructure or an opportunistic cash-out driven by inflated valuations and looming commoditization. While some argue that switching between LLM providers is technically trivial due to standardized APIs, others contend that enterprise moats are sustained by deep integration, governance stability, and corporate contracts.
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llm-course
AI & Machine Learning2023–2024
mlabonne / llm-course
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
7Distinct people
8Mentions
0Explicit recommenders
85.1KGitHub stars
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What it is
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
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This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.
Mentions over time
HN mentions by month8 dated mentions
Observed mentions: 2023-09-12 19:59:18 UTC to 2024-04-24 20:03:00 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| Sep 2023 | 2023-09-01 00:00:00 UTC | 2023-10-01 00:00:00 UTC | 1 | 0 | 1 |
| Oct 2023 | 2023-10-01 00:00:00 UTC | 2023-11-01 00:00:00 UTC | 0 | 0 | 0 |
| Nov 2023 | 2023-11-01 00:00:00 UTC | 2023-12-01 00:00:00 UTC | 2 | 2 | 0 |
| Dec 2023 | 2023-12-01 00:00:00 UTC | 2024-01-01 00:00:00 UTC | 1 | 1 | 0 |
| Jan 2024 | 2024-01-01 00:00:00 UTC | 2024-02-01 00:00:00 UTC | 2 | 1 | 1 |
| Feb 2024 | 2024-02-01 00:00:00 UTC | 2024-03-01 00:00:00 UTC | 1 | 0 | 1 |
| Mar 2024 | 2024-03-01 00:00:00 UTC | 2024-04-01 00:00:00 UTC | 0 | 0 | 0 |
| Apr 2024 | 2024-04-01 00:00:00 UTC | 2024-05-01 00:00:00 UTC | 1 | 0 | 1 |
What Hacker News says
8 sourcesD1d13·Apr 24, 2024
Try this:
https://github.com/mlabonne/llm-course
In Ask HN: How does deploying a fine-tuned model workThis is a very nice resource: https://github.com/mlabonne/llm-course
In Ask HN: People who switched from GPT to their own models. How was it?I've been keeping track of the techniques through Maxime Labonne's LLMs 101: https://github.com/mlabonne/llm-course#4-supervised-fine-tun...
In LoRA from scratch: implementation for LLM finetuningAsk HN: Open source courses for ML and Deep Learning
I'll start
1. mlcourse.ai – Open Machine Learning Course
2. course.fast.ai - Practical Deep Learning
3. https://github.com/mlabonne/llm-course - LLM course
4. https://www.deeplearningbook.org/ - Deep Learning
5. https://d2l.djl.ai/index.html - Deep dive into deep learning
6. https://fullstackdeeplearning.com/ - Full stack deep learning
1 points · Open discussionIt's one of widely fine tuned model for now. Take a look at this colab for fine tuning on your dataset https://github.com/mlabonne/llm-course/blob/main/Fine_tune_L...
In Fine-tune your own Llama 2 to replace GPT-3.5/4