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61.
▲
An Implementation of DeepMind's Neural Turing Machines
github.com/shawntan
discuss
12 years ago
mlla
7 points
62.
▲
Show HN: Vim Turing Machine using only normal mode commands
github.com/ealter
discuss
9 years ago
daeliot
4 points
63.
▲
LLM Prompt Tuning Playbook
github.com/varungodbole
discuss
2 years ago
madmax108
3 points
64.
▲
Google Research – Deep Learning Tuning Playbook
github.com/google-research
discuss
3 years ago
rainboiboi
3 points
65.
▲
Show HN: S0 Tuning – +23.6pp on HumanEval by tuning state, not weights
github.com/JackYoung27
2 comments
3 months ago
jacknotold
2 points
66.
▲
Showcase-Tuning: A visual debugging workflow for AI-assisted rendering code
github.com/nerobowman
1 comment
4 months ago
nerobowman
2 points
67.
▲
LLM Prompt Tuning Playbook
github.com/varungodbole
1 comment
2 years ago
aberoham
2 points
68.
▲
Vim key mapping is turing complete
github.com/divVerent
1 comment
9 years ago
nialv7
2 points
69.
▲
Tuningfork – LLM agent grounding rules derived from human reality-testing
github.com/T-Chartrand
discuss
8 days ago
T-Chartrand
2 points
70.
▲
Playbook for maximizing the performance of deep learning models
github.com/google-research
discuss
a year ago
Anon84
2 points
71.
▲
Turing Machine Implemented in CSS
github.com/brandondong
discuss
3 years ago
klohto
2 points
72.
▲
Deep Learning Tuning Playbook
github.com/google-research
discuss
3 years ago
hexhowells
2 points
73.
▲
Performance Tuning Tutorial Given at Oak Ridge National Laboratory
github.com/NAThompson
discuss
3 years ago
segfaultbuserr
2 points
74.
▲
Deep Learning Tuning Playbook
github.com/google-research
discuss
10 months ago
sonabinu
1 points
75.
▲
CSS Turing Machine
github.com/brandondong
discuss
a year ago
ustad
1 points
76.
▲
How to tune your DL models?
github.com/google-research
discuss
a year ago
Exorust
1 points
77.
▲
Arbitrary Code Execution in the Universal Turing Machine Python Implementation
github.com/intrinsic-propensity
discuss
5 years ago
yewenjie
1 points
78.
▲
List of Library for HyperParameter Tuning
github.com/balavenkatesh3322
discuss
6 years ago
balavenkatesh
1 points
79.
▲
GopherCon 2018 Performance Tuning Workshop
github.com/davecheney
21 comments
8 years ago
pjf
61 points
80.
▲
Show HN: Next-Gen AI Training: LLM-RLHF-Tuning with PPO and DPO
github.com/raghavc
9 comments
2 years ago
rags1
30 points
81.
▲
Show HN: Agent Tuning, using recursion to achieve predictable agent output
github.com/adam-s
discuss
2 months ago
dataviz1000
5 points
82.
▲
Fine-tune BLOOM with Stanford Alpaca
github.com/hyintell
1 comment
3 years ago
imoe
3 points
83.
▲
Show HN: Reverse Turing Test (convince an LLM that you are an LLM)
github.com/empath-nirvana
discuss
5 months ago
empath75
3 points
84.
▲
"Show HN" " alternative to dark matter, tested across galaxy to cosmic scales"
discuss
3 days ago
SPruynIDR
4 points
85.
▲
Show HN: I reproduced Code Llama fill-in-the-middle code completion training
github.com/BohdanPetryshyn
discuss
2 years ago
BohdanPetryshyn
2 points
86.
▲
Show HN: AWS Lambda Power Tuning with AWS Step Functions
github.com/alexcasalboni
1 comment
9 years ago
alexcasalboni
34 points
87.
▲
AWS Lambda Power Tuning
github.com/alexcasalboni
4 comments
4 years ago
daenz
26 points
88.
▲
Image Classification Tutorial in detail (by grad student in Computer VisionMIT)
github.com/Spandan-Madan
discuss
9 years ago
spandan-madan
3 points
89.
▲
Lamini Memory Tuning: near-perfect fact recall via 1M-way MoE [pdf]
github.com/lamini-ai
discuss
2 years ago
Bluestein
2 points
90.
▲
Serverless fine tuning using axolotl
github.com/runpod-workers
discuss
a year ago
mwiki02
1 points
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