コードのレビューをしてもらうと、お金がかかるらしい
無料枠があるので、しばらくは無料で使える
途中で止まった場合は、 続き と打つと追記してくれる
作成した日本語の文章を校正してもらうこともできる。
chatGPT自体は、internet に接続して探すことはしないので、お店の情報などはデタラメになりやすい
https://beta.openai.com/playground で Modelを試したが、現状最高品質のtext-devinci-003 以外はまともに解答を返さないと思われる
解答に嘘が混じっているが、文章が自然体のため、よく注意して確認しないと嘘を信じることになる
Dot言語で図解化
ChatGPTにPyTorchの使い方を手鳥足取り教えてもらう方法
英文の校正の依頼
Please be an English spelling corrector and improver. I ask you to make my sentences more scientific, elegant, and academic, with use of upper-level English words, keeping the meaning same. Please keep the structure of my sentences and correct grammatical errors. Please only reply the revised sentences. My sentences are “ここに文章を入れる”.
codeのサジェストは、GitHub Copilot がコードを提案してくれるらしい
playground で １８ヶ月アクセスしているがすべて無料でいけているらしい
自分のウエブサイトのアクセスを稼ぐ方法の問い合わせ
I want to make sure my site consistently receives more traffic every day. List some ways to drive traffic to my website.
Write even more ideas to generate traffic to my website
エクササイズのメニューを考えてもらう
I want to start lifting weights and bulking up. Create a workout routine for me where I work out 3 days per week. Include the days, number of sets, and reps for each exercise.
Monday:
Bench Press – 3 sets of 8 reps
Barbell Squats – 3 sets of 10 reps
Bent Over Rows – 3 sets of 8 reps
Shoulder Press – 3 sets of 10 reps
Wednesday:
Pull-Ups – 3 sets of 8 reps
Deadlifts – 3 sets of 10 reps
Curls – 3 sets of 8 reps
Tricep Dips – 3 sets of 10 reps
Friday:
Bench Press – 3 sets of 10 reps
Squats – 3 sets of 8 reps
Bent Over Rows – 3 sets of 10 reps
Shoulder Press – 3 sets of 8 reps
ストレスの解消方法を聞く
I've been feeling really stressed out lately. Please create a list of actions I can take to help relieve my stress.
Take a break and do something enjoyable for yourself, such as going for a walk, reading a book, or doing some yoga.
Practice deep breathing or meditation for 10 minutes each day.
Talk to a friend or family member about how you're feeling.
Make sure you're getting enough sleep each night.
Exercise regularly to reduce stress hormones.
Eat a balanced diet to give your body the nutrients it needs.
Practice positive self-talk and try to focus on the positive aspects of life.
Make a list of tasks and prioritize them to help you stay organized.
Break down large tasks into smaller parts to make them more manageable.
Limit your caffeine consumption to reduce anxiousness.
ダイエットブログの概要と段落の内容について
Write an outline for a blog post about the benefits of the keto diet.
I. Introduction
A. Definition of the keto diet
B. Overview of the diet’s benefits
II. Health Benefits of the Keto Diet
A. Weight loss
B. Reduced risk of heart disease
C. Improved blood sugar control
D. Reduced inflammation
III. Mental Benefits of the Keto Diet
A. Improved cognitive function
B. Improved mood
C. Increased energy levels
IV. Other Benefits of the Keto Diet
A. May reduce acne
B. May improve exercise performance
V. Conclusion
A. Summary of keto diet benefits
B. Recommendation to consult with a doctor before beginning the diet
Write a paragraph for the Definition of a Keto Diet.
The keto diet, also known as the ketogenic diet, is a low-carb, high-fat diet that promotes weight loss and other health benefits. It works by inducing ketosis, a metabolic state in which the body burns fat for energy instead of glucose. This is accomplished by drastically reducing carbohydrate intake and replacing it with moderate amounts of protein and high amounts of healthy fats. This type of diet is often used to treat certain medical conditions, such as epilepsy, and has become increasingly popular in recent years due to its potential health benefits.
Write 10 attention-grabbing titles for the above blog post
予想される反論に対してのフォローを聞く
If AI technology gets too much more advanced, it may try to take over the world and make humans obsolete.
This could lead to a number of dangerous and unpredictable consequences, including civil unrest, economic disruption, and ethical issues. To prevent AI from taking over, governments and researchers need to ensure that AI systems are built with safety protocols and rigorous ethical standards. Additionally, AI needs to be integrated into society in a way that is beneficial to both humans and AI. Finally, AI should be regulated in order to ensure that it is used responsibly and ethically.
DeepLのサイトの要約をしてもらう
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6x more accurate EN <> DE
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English ⇄ Chinese
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6x more accurate english <> japanese
English ⇄ Japanese
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Its translation tool is just as quick as the outsized competition, but more accurate and nuanced than any we’ve tried.”
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Since DeepL’s initial launch in 2017, we have been developing a completely new generation of neural networks (NN). Using a novel NN design, DeepL networks learn to grasp the subtle meanings of sentences and translate them to a target language in an unprecedented way. This has led to a world-renowned machine translation quality that surpasses all major tech companies.
DeepL not only keeps up with world-leading deep learning companies but continues to set new standards with its advancements in neural network mathematics and methodology. In 2020 and 2021, we launched new models that can more accurately convey the meaning of translated sentences, even overcoming the challenge of industry-specific professional jargon with great success.
At DeepL, we are just getting started. We will continue to use our expertise in artificial intelligence and neural networks to create technologies that make communication faster, better, and easier.
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Summarize what the above tool does.
DeepL is a machine translation service that uses advanced AI technology to deliver highly accurate and nuanced translations. It is up to 6x more accurate than its competitors, and is used by over 1 billion people worldwide. DeepL's neural networks are able to capture even the slightest nuances and reproduce them in translation, and it regularly outperforms other services by a factor of 3:1 in blind tests conducted by professional translators. DeepL also has a range of apps, plans and pricing options, as well as a Translation API and DeepL Write for additional features.
6歳時に、ビッグモデルを説明してください
Explain large language models to me like I'm 6 years old.
Large language models are like a very big book with lots and lots of words. They help computers understand language better by teaching them all the different ways words can be used. They also help computers figure out what people mean when they say something so they can give better answers.
断りのメールを書き方を聞く
Write an email that politely tells someone that I'm not interested and to stop emailing me.
Subject: Request to cease contact
Dear [person whom the email is addressed to],
I hope this message finds you well.
I am writing to inform you that I am not interested in further communication with you. Therefore, I kindly request that you do not send me any further emails.
Thank you for your time and consideration.
Sincerely,
[Your name]
翻訳をしてもらう
** Translate the above sentence into Japanese.
Youtube prompting gide
https://www.youtube.com/watch?v=pc8ftlzB2D0
半分くらいしかまだ見れていない
Can you analyze the dataset given below
"carat","cut","color","clarity","depth","table","price","x","y","z"
0.23,"Ideal","E","SI2",61.5,55,326,3.95,3.98,2.43
0.21,"Premium","E","SI1",59.8,61,326,3.89,3.84,2.31
0.23,"Good","E","VS1",56.9,65,327,4.05,4.07,2.31
0.29,"Premium","I","VS2",62.4,58,334,4.2,4.23,2.63
0.31,"Good","J","SI2",63.3,58,335,4.34,4.35,2.75
0.24,"Very Good","J","VVS2",62.8,57,336,3.94,3.96,2.48
0.24,"Very Good","I","VVS1",62.3,57,336,3.95,3.98,2.47
0.26,"Very Good","H","SI1",61.9,55,337,4.07,4.11,2.53
0.22,"Fair","E","VS2",65.1,61,337,3.87,3.78,2.49
0.23,"Very Good","H","VS1",59.4,61,338,4,4.05,2.39
0.3,"Good","J","SI1",64,55,339,4.25,4.28,2.73
0.23,"Ideal","J","VS1",62.8,56,340,3.93,3.9,2.46
0.22,"Premium","F","SI1",60.4,61,342,3.88,3.84,2.33
0.31,"Ideal","J","SI2",62.2,54,344,4.35,4.37,2.71
0.2,"Premium","E","SI2",60.2,62,345,3.79,3.75,2.27
0.32,"Premium","E","I1",60.9,58,345,4.38,4.42,2.68
0.3,"Ideal","I","SI2",62,54,348,4.31,4.34,2.68
0.3,"Good","J","SI1",63.4,54,351,4.23,4.29,2.7
0.3,"Good","J","SI1",63.8,56,351,4.23,4.26,2.71
0.3,"Very Good","J","SI1",62.7,59,351,4.21,4.27,2.66
0.3,"Good","I","SI2",63.3,56,351,4.26,4.3,2.71
0.23,"Very Good","E","VS2",63.8,55,352,3.85,3.92,2.48
0.23,"Very Good","H","VS1",61,57,353,3.94,3.96,2.41
0.31,"Very Good","J","SI1",59.4,62,353,4.39,4.43,2.62
0.31,"Very Good","J","SI1",58.1,62,353,4.44,4.47,2.59
0.23,"Very Good","G","VVS2",60.4,58,354,3.97,4.01,2.41
0.24,"Premium","I","VS1",62.5,57,355,3.97,3.94,2.47
0.3,"Very Good","J","VS2",62.2,57,357,4.28,4.3,2.67
0.23,"Very Good","D","VS2",60.5,61,357,3.96,3.97,2.4
0.23,"Very Good","F","VS1",60.9,57,357,3.96,3.99,2.42
0.23,"Very Good","F","VS1",60,57,402,4,4.03,2.41
The given dataset appears to be a list of diamonds, with each row representing a diamond and the columns representing various attributes of the diamond such as carat, cut, color, clarity, depth, table, price, x, y, and z.
carat: weight of the diamond
cut: quality of the cut of the diamond
color: color of the diamond
clarity: diamond's internal characteristics
depth: depth percentage
table: width of top of diamond
price: price of diamond
x, y, z: diamond's dimensions
It appears that the dataset contains a wide range of diamond cuts, colors, clarities, and prices. It would be useful to further analyze the data to see if there are any patterns or trends in the data, such as which cuts or colors are more expensive or which factors tend to affect the price of a diamond.
Analyzing the given datasets can be done in several ways. One way is to use descriptive statistics. This involves finding out the mean, median, mode, range and other useful measurements for each of the columns in the dataset.
Another way is to use inferential statistics, which involves using the data to test hypotheses and measure relationships between different variables. This can be done by comparing two or more columns simultaneously, looking for correlations or performing regressions.
Finally, visualizing the data can give us an overall view of the data and show us what's happening. We can use various tools such as line graphs, scatter plots and bar graphs to visually represent the data and gain insights.
Can you convert the data into a table form
Sure, the data can be converted into a table form using a tool such as a spreadsheet program like Microsoft Excel or Google Sheets. The first row of the spreadsheet would contain the column headers (carat, cut, color, clarity, depth, table, price, x, y, z), and each subsequent row would contain the data for each diamond.
Alternatively, you can use a data visualization tool such as Tableau, Power BI, etc. to create a table visualization of the data.
Please let me know if you need help with any specific tool or any other details.
I apologize, as a language model, I am not able to create a table format from the given dataset as I do not have the capability to access external data or tools. I suggest you use a spreadsheet program, such as Microsoft Excel or Google Sheets, or a data visualization tool, such as Tableau, Power BI, etc. to convert the data into a table format. You can also use Python's pandas library to convert the data into a tabular format (Pandas DataFrame). Here is an example of how you can use Pandas to convert the data into a table format:
import pandas as pd
data = [["0.23","Ideal","E","SI2",61.5,55,326,3.95,3.98,2.43],
["0.21","Premium","E","SI1",59.8,61,326,3.89,3.84,2.31],
["0.23","Good","E","VS1",56.9,65,327,4.05,4.07,2.31],
["0.29","Premium","I","VS2",62.4,58,334,4.2,4.23,2.63"],
...]
df = pd.DataFrame(data, columns=["carat","cut","color","clarity","depth","table","price","x","y","z"])
Give me the value count of the dataset using cut column