T
TOPBOTS
topbots.com · Company blog · on HN since 2016
TOPBOTS is an applied AI publication that summarizes research papers and covers NLP, neural networks, and reinforcement learning for business readers.
What HN saysThe given comments don't discuss the blog itself; HN links it for its roundups of AI research papers and NLP and AutoML overviews.
21HN people shared it
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Most-shared posts
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- 10The Relationship Between Perplexity and Entropy in NLP1 people · 3 points · first shared 2021 · discussion on HN
- 11Top Research Papers on Diffusion Models for Image Generation1 people · 3 points · first shared 2023 · 1 comments on HN
- 12People behind China’s A.I. Revolution. Worth following them1 people · 3 points · first shared 2017 · discussion on HN
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- 14Building a Foundation for Machine Learning Across Your Organization1 people · 2 points · first shared 2018 · discussion on HN
- 15Demystifying ICOs: The Good, the Bad, the Ugly1 people · 2 points · first shared 2017 · discussion on HN
What HN people wrote when they linked it
ninetyninenine · 2024-10-23
I have. The failure is with you and your extracting only the mechanical functionality of LLMs as all an LLM is.
The high level macro structure of what ends up being trained is something nobody understands.
Regardless of WHAT I say, the general consensus among academia and professionals is extremely different from what you characterize. I can cite dozens of research papers contrary to your point in a simple google search:
https://www.sciencedirect.com/science/article/pii/S0160289624000527
https://www.topbots.com/llm-reasoning-research-papers/
https://arxiv.org/abs/2305.10601
https://arxiv.org/abs/2205.10625
https://arxiv.org/abs/2205.15241
The fact that these research papers exist is testament against your delusional claim that you completely understand how LLMs work just by reading Attention is all you need.