I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!
\
# train_grpo.py | |
# | |
# See https://github.com/willccbb/verifiers for ongoing developments | |
# | |
import re | |
import torch | |
from datasets import load_dataset, Dataset | |
from transformers import AutoTokenizer, AutoModelForCausalLM | |
from peft import LoraConfig | |
from trl import GRPOConfig, GRPOTrainer |
#!/bin/bash | |
##################################################### | |
# Name: Bash CheatSheet for Mac OSX | |
# | |
# A little overlook of the Bash basics | |
# | |
# Usage: | |
# | |
# Author: J. Le Coupanec | |
# Date: 2014/11/04 |
Filter | Description | Example |
---|---|---|
allintext | Searches for occurrences of all the keywords given. | allintext:"keyword" |
intext | Searches for the occurrences of keywords all at once or one at a time. | intext:"keyword" |
inurl | Searches for a URL matching one of the keywords. | inurl:"keyword" |
allinurl | Searches for a URL matching all the keywords in the query. | allinurl:"keyword" |
intitle | Searches for occurrences of keywords in title all or one. | intitle:"keyword" |
Moved to git repository: https://github.com/denji/nginx-tuning
For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.
Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon
with HyperThreading enabled, but it can work without problem on slower machines.
You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.
A curated list of AWS resources to prepare for the AWS Certifications
A curated list of awesome AWS resources you need to prepare for the all 5 AWS Certifications. This gist will include: open source repos, blogs & blogposts, ebooks, PDF, whitepapers, video courses, free lecture, slides, sample test and many other resources.
## 見出し2
### 見出し3
#### 見出し4
##### 見出し5
###### 見出し6 ## Block 段落 空白行を挟むことで段落となります。 ```
段落1
(空行)
段落2
``` 段落1 段落2 ## Br 改行 改行の前に半角スペース` `を2つ記述します。 ```
hoge
fuga(スペース2つ)
piyo
``` hoge
fuga piyo ## Blockquotes 引用 先頭に`>`を記述します。ネストは`>`を多重に記述します。 ```
> 引用 > 引用
>> 多重引用
``` > 引用 > 引用
>> 多重引用 ## Code コード `` `バッククオート` `` 3つ、あるいはダッシュ`~`3つで囲みます。 ```
print 'hoge'
``` ```
print 'hoge'
``` ### インラインコード `` `バッククオート` `` で単語を囲むとインラインコードになります。 ```
これは `インラインコード`です。
``` これは `インラインコード`です。 ## pre 整形済みテキスト 半角スペース4個もしくはタブで、コードブロックをpre表示できます ``` class Hoge def hoge print 'hoge' end end
``` class Hoge def hoge print 'hoge' end end ## Hr 水平線 アンダースコア`_` 、アスタリスク`*`、ハイフン`-`などを3つ以上連続して記述します。 ```
hoge
***
hoge
___
hoge
---
``` hoge
***
hoge
___
hoge
--- # Lists ## Ul 箇条書きリスト ハイフン`-`、プラス`+`、アスタリスク`*`のいずれかを先頭に記