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61.
▲
Show HN: Vim Turing Machine using only normal mode commands
(github.com/ealter)
4 points
daeliot
9 years ago
discuss
62.
▲
LLM Prompt Tuning Playbook
(github.com/varungodbole)
3 points
madmax108
2 years ago
discuss
63.
▲
Google Research – Deep Learning Tuning Playbook
(github.com/google-research)
3 points
rainboiboi
3 years ago
discuss
64.
▲
Show HN: S0 Tuning – +23.6pp on HumanEval by tuning state, not weights
(github.com/JackYoung27)
2 points
jacknotold
2 months ago
2 comments
65.
▲
Showcase-Tuning: A visual debugging workflow for AI-assisted rendering code
(github.com/nerobowman)
2 points
nerobowman
3 months ago
1 comment
66.
▲
LLM Prompt Tuning Playbook
(github.com/varungodbole)
2 points
aberoham
2 years ago
1 comment
67.
▲
Vim key mapping is turing complete
(github.com/divVerent)
2 points
nialv7
9 years ago
1 comment
68.
▲
Playbook for maximizing the performance of deep learning models
(github.com/google-research)
2 points
Anon84
a year ago
discuss
69.
▲
Turing Machine Implemented in CSS
(github.com/brandondong)
2 points
klohto
3 years ago
discuss
70.
▲
Deep Learning Tuning Playbook
(github.com/google-research)
2 points
hexhowells
3 years ago
discuss
71.
▲
Performance Tuning Tutorial Given at Oak Ridge National Laboratory
(github.com/NAThompson)
2 points
segfaultbuserr
3 years ago
discuss
72.
▲
Deep Learning Tuning Playbook
(github.com/google-research)
1 point
sonabinu
9 months ago
discuss
73.
▲
CSS Turing Machine
(github.com/brandondong)
1 point
ustad
a year ago
discuss
74.
▲
How to tune your DL models?
(github.com/google-research)
1 point
Exorust
a year ago
discuss
75.
▲
Arbitrary Code Execution in the Universal Turing Machine Python Implementation
(github.com/intrinsic-propensity)
1 point
yewenjie
5 years ago
discuss
76.
▲
List of Library for HyperParameter Tuning
(github.com/balavenkatesh3322)
1 point
balavenkatesh
6 years ago
discuss
77.
▲
GopherCon 2018 Performance Tuning Workshop
(github.com/davecheney)
61 points
pjf
8 years ago
21 comments
78.
▲
Show HN: Next-Gen AI Training: LLM-RLHF-Tuning with PPO and DPO
(github.com/raghavc)
30 points
rags1
2 years ago
9 comments
79.
▲
Show HN: Agent Tuning, using recursion to achieve predictable agent output
(github.com/adam-s)
5 points
dataviz1000
2 months ago
discuss
80.
▲
Fine-tune BLOOM with Stanford Alpaca
(github.com/hyintell)
3 points
imoe
3 years ago
1 comment
81.
▲
Show HN: Reverse Turing Test (convince an LLM that you are an LLM)
(github.com/empath-nirvana)
3 points
empath75
4 months ago
discuss
82.
▲
Show HN: I reproduced Code Llama fill-in-the-middle code completion training
(github.com/BohdanPetryshyn)
2 points
BohdanPetryshyn
2 years ago
discuss
83.
▲
Show HN: AWS Lambda Power Tuning with AWS Step Functions
(github.com/alexcasalboni)
34 points
alexcasalboni
9 years ago
1 comment
84.
▲
AWS Lambda Power Tuning
(github.com/alexcasalboni)
26 points
daenz
4 years ago
4 comments
85.
▲
Image Classification Tutorial in detail (by grad student in Computer VisionMIT)
(github.com/Spandan-Madan)
3 points
spandan-madan
9 years ago
discuss
86.
▲
Lamini Memory Tuning: near-perfect fact recall via 1M-way MoE [pdf]
(github.com/lamini-ai)
2 points
Bluestein
2 years ago
discuss
87.
▲
Serverless fine tuning using axolotl
(github.com/runpod-workers)
1 point
mwiki02
a year ago
discuss
88.
▲
Banishing LLM hallucinations requires rethinking generalization [pdf]
(github.com/lamini-ai)
1 point
itunpredictable
2 years ago
discuss
89.
▲
AWS-lambda-power-tuning: AWS Lambda Power Tuning tool
(github.com/alexcasalboni)
1 point
kiyanwang
6 years ago
discuss
90.
▲
Show HN: Tilth v0.4.1 – 29% cheaper Sonnet, 22% on Opus (benchmark: 114 runs)
2 points
jahala
4 months ago
discuss
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