parameter
US /pəˈræmɪtɚ/
・UK /pəˈræmɪtə(r)/
B1 中級TOEIC
n.名詞(目立った)特徴 : 特色 : 限界 : パラメーター
The time parameter for this job is two weeks
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Nvidia 2024 Computex基調講演：15分で全内容を公開 (Nvidia's 2024 Computex Keynote: Everything Revealed in 15 Minutes)
- Today, every parameter is measured: start time, uptime, utilization, throughput, idle time, you name it, because it's a factory.
テンソル並列、パイプライン並列、データ並列、あらゆる種類の並列、エキスパート並列、あらゆる種類の並列、複数のGPUにワークロードを分散し、可能な限り高速に処理しなければならない。
- Today, every parameter is measured: start time, uptime, utilization, throughput, idle time, you name it, because it's a factory.
テンソル並列、パイプライン並列、データ並列、あらゆる種類の並列、エキスパート並列、あらゆる種類の並列、複数のGPUにワークロードを分散し、可能な限り高速に処理しなければならない。
【AI 時代】10 分でわかる Google I/O カンファレンス総まとめ！
- So in a few weeks, we'll be adding a new 27 billion parameter model to Gemma 2.
あと数週間で、Gemma 2 に 270 億パラメータモデルが追加されるわけです。
- parameter model to Gemma 2.
ジェンマ2へのパラメータモデル。
ArduinoJson 7 の新機能 (What's new in ArduinoJson 7)
- I changed how we customize the allocator. Instead of passing a template parameter, you must pass a pointer to a polymorphic allocator. This change, inspired by Stude PMR, allows all JSON documents to be compatible with each other, regardless of the allocator.
アロケーターをカスタマイズする方法を変えた。テンプレートパラメータを渡す代わりに、ポリモーフィックアロケータへのポインタを渡さなければなりません。Stude PMRに触発されたこの変更により、アロケータに関係なく、すべてのJSONドキュメントに互換性を持たせることができる。
- Instead of passing a template parameter, you must pass a pointer to polymorphic allocator.
ライブラリで何か問題が発生した場合は、Arduino JSONトラブルシューターで問題を自己診断してみてください。それでも解決しない場合は、GitHubにissueを登録してください。
大規模言語モデル入門 (Introduction to large language models)
- Second, it refers to the parameter count.
2つ目は、パラメータ数である。
- Second, it refers to the parameter count.
汎用とは、一般的な問題を解決するのに十分なモデルであることを意味する。
PIDブロックを使った制御弁プログラム | DeltaV DCSチュートリアル - アドバンス (Control Valve Program using PID Block | DeltaV DCS Tutorial -Advance)
- Now you see this back calculation out what I was talking about so this back calculation out need to be connected to back calculation in okay so we have a connection from here to this guy to make it look better you can do like this okay so this out is connected here and this out is to in back calculation in to white your reset wind up and bumpless transfer concept which we actually talked about before so a very important thing now which we really need to understand is there are few things that you have to have here which are not actually there so how to get up something in a PID which never which is not existed even you can see there's no set point here so you have to click right show parameter browse first first of all you have to understand I want this parameter to appear at the input side of the PID block so I selected type as input get into the browse now you have to search for set point so this set point is right here just click okay and click okay now you would see the set point is there also right now let's edit there are few things that you have to actually take care when you are going to make a PID loop so that is control options so when you click on this here you can actually make reverse or direct acting by default when you haven't selected anything this is reverse acting but when you are trying to you know it as a direct acting then you can do it like this you understand the point so I click on direct acting and click okay now this guy is ready okay so good now we can give a set point some value where is the set point set point is here I want my PID to be at 89 and where is the set point is good good cascade okay then I want this guy to be at some value right I don't want this to be set point I need to give it some value here to simulate in also so I will enable it I would give it 80 value okay so this is now 80 value and this set point is termed as your how much was how much was the value for the set point 89 okay now if we give it a 10 value for instance this AI that would behave in a better way I think let me instead of getting a high value we can give it a same 60 50 value that's a better way now you can see there are many options that exist if you come here into this block you can also see there are many options but first of all we have to understand see the gain is there there is a PIND rate is there that is there and you have a reset and you have a gain also and you have a outscale that you have actually scaled a value that your output would be between 0 to 100 it would not exceed more than that I'm sure that my process value or my control wall is between 0 to 100 percent there is no more actually opening of the control wall more than 100 percent then in that case you can see you can put up a zero limit for a low limit and high limit would be adjusted to 100 you can see here right any questions it's okay this this is your high limit in similar way you can also give a low limit in high limit to input values also but yeah this is a set point and one important thing with more thing yeah you can see the mode option here it's in the manual you can put it auto you can put it manual here you can put it cascade you can get put cascade remote and remote output but we would be talking about auto and manual in this case so I put it in manual and I'm trying to give a value and I need to save this program I need to download it and then see what is the response upload to the download to the station you can first upload it select okay and it's going to upload and then download anyway okay so now you see you put up a value of 50 and your set point is 89 as 79 and you're trying to give the output value to some value let's see and I want to give this output some value so I'm trying to give out manually so I'm trying this to be 30 okay so I put this output manually 30 value now I'm going to change the mode of operation to automatic to see how it operate so I select mode and make it into auto and click so now we have to tweak with the PID terms to see the response so if you see that we have a gain here so I want my gain to be high so what I where is the gain best way is put here and just select some give some value and I give it one to see the response now see the value is changing when I give a gain gain value you see the value of feedback is also changing and that back calculation is getting back to here also you see that's what I was talking about the feedback is going to be fed in in the back calculation now system is trying to reach to that value this is a set point 89 and your value is 50 okay so the system is trying to maintain that value if you try giving a value for example 675 see the response is changing so based on what you have at the AI which is your input your output would regulate the flow so this output would be actually connected to control valve and this AI is connected to the temperature transmitter in the case what we were actually talking about that's all for today if in the case you like this video consider hitting the like button if in the you haven't subscribed this youtube channel consider subscribing until next video take care and Allah Hafiz
このバック・コンピューティング・アウトはバック・コンピューティング・インに接続する必要がある。リセット巻き上げとバンプレス転送のコンセプトは、以前にもお話ししました。このパラメータをPIDブロックの入力側に表示させたいので、入力としてタイプを選択し、ブラウズに入って、セットポイントを検索しなければならない。PIDループを作ろうとするとき、いくつか注意しなければならないことがあります。しかし、直動作にしようとする場合は、このようにすることができます。直動作をクリックして、OKをクリックします。セットポイント
- So you have to click right show parameter browse.
【ニュースで英語】トランプ前大統領銃撃事件｜カメラが捉えた混乱の瞬間
- So the security parameter is different.
セキュリティーパラメーターが違います。
- This is outside, obviously, so the security parameter is different.
音声の最初の数分間で、彼の声がパニックになっているのがわかるでしょう。彼はこう言っています、 靴を取ってくれ、靴を取ってくれと。
PythonでGemini AI APIを使う方法｜最新2025年チュートリアル (How to Use Gemini AI API with Python | Latest 2025 Tutorial)
- So this is an important parameter and final one is the response type this is just text yeah nothing big over there and here genai.generativemodel and we are having two parameters here we are passing the model name in our case it's Gemini 2.0 flash.
これは重要なパラメータで、最後の1つはレスポンスのタイプで、これは単なるテキストです。
- So that's basically the code and now let's go and ask a particular question so what I will do is let's just get the raw response and see and let me just just put a hello that's it this is going to be my input text or question so for running this is going to be python space Gemini underscore file dot py and before going into all make sure that you have python installed on your system that's really important and if you don't have python installed you can just click on the card that is appearing on top I will run an entire video on that so if I run it now ok I'm getting an error protocol message generation config has no response mime underscore type so yeah this is a generation config so I guess this particular parameter is not needed or something so I'll just remove this okay so now let's go and try again so we are getting an object okay so now let me just go with dot text I thought we will be getting a JSON something like that so again rerun it yeah here as you can see here we have got hello there how can I help you today so now what we are going to do is I'm just going to ask another question this time I will ask a question that gives us a lot of response so let me just go and ask essay on global warming that's it saving and rerunning so this is the output that it has given that's a lot that's really like five to ten paragraphs and what if you wanted to control the response because as I told you earlier the more output token it gets generated the more you will be charged and there are some conditions where you might want the response to be like two to three paragraphs in that case what you can do is here we are having the max output tokens as 8192 you can just change this to like 200 maybe so I'm just going with the exact same prompt now but this time we'll be at most getting two paragraphs so let me just run it again so now we have just got two paragraphs over here so this is basically how you control the output response also and in case if you want to know more about how to access this API key you can just go here and they will be having API documentation select it and here you will be having the entire guide on how to use this like fine-tuning structured outputs and other use cases for vision long context code execution there are like so many things you can just go through it as a guide because this is like a starting point okay and that's the video guys I hope you have found it useful do check the playlist of my channel I've done a lot of videos in programming Gemini API open AI API Sora chat GPT and other AI tools and credit operations check the playlist subscribe me thanks for watching
これが基本的なコードで、次に特定の質問をしてみよう。pythonがインストールされていることを確認してください。pythonがインストールされていない場合は、上に表示されているカードをクリックしてください。もしPythonがインストールされていない場合は、一番上に表示されるカードをクリックしてください。このような場合、あなたはどのように応答を制御したい場合はどうすればよいのでしょうか。最大出力トークンを8192としていますが、これを200に変更することができます。
人工知能について (On Artificial Intelligence)
- If I show it 50,000 circles or 5 billion circles, and I give it a very small amount of parameter weights, which are its equivalent neurons, to memorize that, it's going to be much better off figuring out pi and how to draw a circle and what thickness means and forming an algorithmic representation of that circle rather than memorizing circles.
猫の絵を描くとき、描ける猫はたくさんあります。
- I give it a very small amount of parameter weights, which are its equivalent neurons to memorize that, it's going to be much better off figuring out PI and how to draw a circle and what thickness means and forming an algorithmic representation of that circle rather than memorizing circles.
そして、それを記憶するための同等のニューロンである非常に少ないパラメータ重みを与えると、円を記憶するよりも、円周率を理解し、円を描く方法、厚さが何を意味するかを理解し、その円のアルゴリズム表現を形成する方がはるかにうまくいくでしょう。
UPCの音響波フィルター 設計例 (Design Example: UPC's Acoustic Wave Filter)
- And essentially these two resonant frequencies that we have are defined from the parameter that we call the electroacoustic coupling, right?
これまでのところ、この技術は3GHz以下のすべてのスペクトルを明らかに支配しています。
- And essentially these two resonant frequencies that we have are defined from the parameter that we call the electroacoustic coupling.
そして、これらの2つの共振周波数は、電気音響結合と呼ばれるパラメータによって定義されます。
NVIDIA 2025 Computex基調講演：19分で発表されたすべて (Nvidia's 2025 Computex Keynote: Everything Announced in 19 Minutes)
- One architecture, one architecture, and this has the ability, enough capacity and performance to run a one trillion parameter AI model.
1つのアーキテクチャー、1つのアーキテクチャーで、1兆個のパラメーターのAIモデルを実行する能力と十分な容量と性能を持っている。
- A one trillion parameter model is going to run wonderfully on this machine.
1兆個のパラメータを持つモデルは、このマシンで見事に動くだろう。