Transformers

Feeds to Scour
SubscribedAll
Scoured 106 posts in 8.8 ms

markusheimerl/gpt: A generative pretrained transformer implementation

 🧠LLMs  Content type: Code
github.com··Hacker News

Reachability and asymptotics of Gaussian Transformer dynamics

 💬Natural Language Processing  Content type: Academic
arxiv.org·

know the mother tongue of your LLMs

 🤖LLM
mothertoken.inigoimaz.com··Hacker News
Less-relevant results

Apple WWDC On-Device AI Deep Dive - Google Docs

 🧠LLMs
gist.is··Hacker News

How LLMs Actually Work: A Friendly Map for Humans • oreoro

 💬Natural Language Processing
oreoro.github.io··Hacker News

GPT-2: Too Dangerous To Release (2019)

 🎯Fine-tuning  Content type: Blog
naokishibuya.github.io··Hacker News

How LLMs work | Practical Leaders

 💬Natural Language Processing
practical-leaders.com··Hacker News

SpikeDecoder: Realizing the GPT Architecture with Spiking Neural Networks

 🤖Machine Learning  Content type: Academic
arxiv.org·

Introducing North Mini Code: Cohere’s First Model For Developers

 🎯Fine-tuning  Content type: Blog
huggingface.co··Hacker News

How we fight GPU scarcity without compromise

 🧠LLM Inference  Content type: Blog
equixly.com··Hacker News

SPADE: Split-and-Delay Embeddings for Autoregressive High-Granularity Calorimeter Simulation

 💬Natural Language Processing  Content type: Academic
arxiv.org·

mingusb/transformer-golf: The Fully Unrolled Transformer: An experimental repository for architecture simplification and compilation. [2026]

 🧠Neural Networks  Content type: Code
github.com··Hacker News

Tokenminning: Because Tokenmaxxing Is a Bad Idea

 🪟Context Windows
tokenminning.com··Hacker News

Markov Chains: The Grandparents of LLMs

 💬Natural Language Processing
dmanco.dev··Hacker News

Kuramoto Attention: Synchronizing Self-Attention on the Torus

 🔢Embeddings  Content type: Academic
arxiv.org·

Introducing the Third Generation of Apple’s Foundation Models

 🧠LLMs
machinelearning.apple.com··Hacker News, r/apple

RePAIR: Predictive Self-Supervised Representation Learning in Chess

 🎮Reinforcement Learning  Content type: Academic
arxiv.org·

princezuda/-RequiemGPT-: Fully open source and open weights built and trained by fable five with one prompt. An experience in how AI actually works

 🧠Neural Networks  Content type: Code
github.com··Hacker News

CRUMB: Efficient Prior Fitted Network Inference via Distributionally Matched Context Batching

 💬Natural Language Processing  Content type: Academic
arxiv.org·

Best-Known Sorting Networks

 🕸️Graph Theory
bertdobbelaere.github.io··Hacker News

Keyboard Shortcuts

Navigation

Next / previous item
j/k
Open post
oorEnter
Preview post
v

Post Actions

Love post
a
Like post
l
Dislike post
d
Undo reaction
u
Save / unsave
s

Recommendations

Add interest / feed
Enter
Not interested
x

Go to

Home
gh
Interests
gi
Feeds
gf
Likes
gl
History
gy
Changelog
gc
Settings
gs
Browse
gb
Search
/

General

Show this help
?
Submit feedback
!
Close modal / unfocus
Esc

Press ? anytime to show this help