#ChatGPT Plus

[abdurrahimseo]

I recently published the ultimate GPT-4 guide. You will be astounded to learn what is going on. Good luck with your reading!

[rafael-salazar]

OpenAI’s GPT-4 exhibits “human-level performance” on professional benchmarks

Multimodal AI model can process images and text, pass bar exams. OpenAI plans to release GPT-4’s text capability through ChatGPT and its commercial API, but with a waitlist at first. GPT-4 is currently available to subscribers of ChatGPT Plus. Also, the firm is testing GPT-4’s image input capability with a single partner, Be My Eyes, an upcoming smartphone app that can recognize a scene and…

[fanly]

ChatGPT如何使用OpenAI o1模型 - 泪雪网

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[josephparker80]

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[toshfeed]

Demystifying AI: Understanding the Foundations of Neural A

Artificial Intelligence (AI) has become an integral part of our technological landscape, with neural networks serving as its backbone. But what exactly are neural networks, and how do they function? Neural networks are computational models inspired by the human brain’s structure and function. They consist of interconnected nodes, or “neurons,” organized into layers. Each neuron receives input…

[oliverribeiromkt]

Quais as Diferenças entre o CHATGPT GRATUITO e o CHATGPT PLUS? Vale a pe...

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[karasutoragara]

お題: 暑くて食欲が出ないです。家族はお肉が好きです。メニュー浮かばないので、簡単に作れてスタミナのつく夕食のメニューを提案して。

Bard

暑くて食欲がでない時は、さっぱりとした味付けで、食べやすい食材を選ぶと良いでしょう。また、家族皆が好きなお肉をメインにすると、食欲もアップしやすくなります。

そこで、以下のようなメニューはいかがでしょうか。

**メイン**

* 豚バラ肉の照り焼き丼

* 鶏むね肉と野菜のソテー

* 牛肉のすき焼き

* 豚肉のスタミナ炒め

**副菜**

* キャベツとツナのサラダ

* きゅうりの浅漬け

* トマトサラダ

* 冷奴

**汁物**

* 冷たい味噌汁

* 冷やしうどん

* 冷やし中華

**デザート**

* フルーツ

* アイスクリーム

これらのメニューは、どれも簡単に作れるので、暑い日にぴったりです。また、お肉をメインにすることで、スタミナをつけることができます。

**豚バラ肉の照り焼き丼**

豚バラ肉を照り焼きにして、ご飯にのせるだけの簡単レシピです。甘辛いタレがご飯によく絡んで、食欲がなくても思わず食べてしまう美味しさです。

**鶏むね肉と野菜のソテー**

鶏むね肉と野菜をソテーするだけの簡単レシピです。鶏むね肉はさっぱりとした味付けなので、暑い日でも食べやすいです。

**牛肉のすき焼き**

牛肉と野菜を甘辛いタレで煮込んだ定番のスタミナ料理です。家族皆で楽しく食べられるメニューです。

**豚肉のスタミナ炒め**

豚肉、キャベツ、ニラ、にんにくなどの具材を炒めたスタミナ炒めです。ご飯にのせて食べれば、ボリューム満点のおかずになります。

**キャベツとツナのサラダ**

キャベツとツナ、マヨネーズを和えたさっぱりとしたサラダです。暑い日にぴったりのメニューです。

**きゅうりの浅漬け**

きゅうりを塩漬けにした定番の浅漬けです。さっぱりとした味わいで、食欲をそそります。

**トマトサラダ**

トマト、きゅうり、玉ねぎなどの野菜を和えたサラダです。トマトのさっぱりとした酸味が、暑い日にぴったりです。

**冷奴**

豆腐を湯通しして、ネギやポン酢などで味付けしたメニューです。暑い日にぴったりのヘルシーなおかずです。

**冷たい味噌汁**

冷たい水で作った味噌汁です。暑い日にぴったりのさっぱりとした味わいです。

**冷やしうどん**

うどんを茹でて、冷水でしめた後、お好みの具材とタレをかけたメニューです。暑い日にぴったりのさっぱりとした麺料理です。

**冷やし中華**

麺を茹でて、冷水でしめた後、お好みの具材とタレをかけたメニューです。暑い日にぴったりのさっぱりとした麺料理です。

**フルーツ**

旬のフルーツをそのまま食べたり、ヨーグルトやアイスクリームと合わせて食べたりするのがおすすめです。

**アイスクリーム**

暑い日にぴったりの冷たいデザートです。お好みのアイスクリームを召し上がれ。

このメニューを参考に、ご家族で美味しくスタミナをつけられる夕食を作ってみてください。

ChatGPT Plus

暑い日には、さっぱりとした味付けのお肉料理がお勧めです。以下のメニューは簡単に作れて、家族も喜ぶかもしれません：

1. **冷しゃぶサラダ**

- 豚肉を茹でて冷ます。

- サラダ野菜と一緒に盛り付け、ポン酢やごまドレッシングをかける。

2. **鶏むね肉のガーリックソテー**

- 鶏むね肉に塩、胡椒を振っておき、フライパンでソテーします。

- ガーリックスライスを加え、さっと炒めます。

- レモン汁をかけてさっぱりとした味付けに。

3. **焼き肉風ビーフサラダ**

- お好みの部位の牛肉を薄くスライスし、焼きます。

- 野菜と一緒に盛り付け、焼き肉のタレで食べます。

4. **鶏肉の生姜焼き**

- 鶏もも肉や鶏むね肉を使用します。

- 生姜、醤油、みりんで作ったタレに漬け込み、フライパンで焼きます。

- ご飯と一緒に食べれば、スタミナアップに！

以上のようなメニューは比較的短時間で作れ、さっぱりとした味付けが特徴です。お試し下さい！

Bing

食欲が出ないときは、さっぱりとしたものやスパイシーなものがおすすめです。お肉が好きな家族にも喜ばれる簡単に作れてスタミナのつく夕食のメニューをいくつか提案しますね。

- 酸味でさっぱり。 梅しそベーゼそうめん¹：そうめんに梅干しと大葉を合わせたアーモンドベーゼをかけるだけで、暑い日にぴったりの一品になります。アーモンドはすりつぶしてもよいですし、市販のアーモンドペーストを使ってもOKです。

- レンジでOK。 ラー油ぶっかけ肉玉冷やしうどん¹：豚しゃぶしゃぶ用の肉とニラをレンジで加熱して、冷やしうどんにのせてラー油をかけるだけで、ピリ辛でスタミナがつくメニューになります。卵黄を添えても美味しいですよ。

- さっぱり冷麺風！ 長芋そうめん¹：長芋を千切りにしてそうめん風に見立てる、一風変わった冷麺です。酸味がさわやかな冷麺風スープをかけて、さらっとのど越しのよい長芋冷麺をお召し上がりください。

- 暑い日はさっぱりレモンレシピ！ レモポン炒め²：豚こまとキャベツのレモポン炒めは、下ごしらえの工程も少なく、炒める時間も少なくてすむ暑い日におすすめのメニューです。ポン酢とレモンの味が爽やかな炒め物です。

- 暑い日は冷たいおかず！ 南蛮漬け³：揚げた魚や肉と野菜を、酢をきかせた漬け汁に浸した料理です。酢の効果でさっぱりと食べられるので、暑い日の夕飯におすすめです。作り置きにもできますよ。

以上、暑くて食欲が出ない日にもおすすめの簡単に作れてスタミナのつく夕食のメニューをご紹介しました。どれも手軽に作れるレシピなので、ぜひ試してみてくださいね。

ソース: Bing との会話 2023/9/5

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(2) 暑い日の夕飯レシピ特集！食欲がない日にもおすすめの .... https://folk-media.com/2481000.

(3) 暑い日の夕飯は簡単にしたい！さっぱり〜スタミナレシピ23選の .... https://delishkitchen.tv/curations/4480.

(4) 暑い日に食べたい！さっぱりおかず&スタミナ料理のレシピ集 .... https://kinarino.jp/cat4/13467.

[fanly]

ChatGPT Plus如何绑定WildCard虚拟信用卡 - 泪雪网

WildCard虚拟信用卡为用户提供了一种安全便捷的支付方式，通过访问WildCard官网 leixue.com/go/wildcard 注册，用户可以快速获得虚拟信用卡并进行充值。绑定到OpenAI账户后，便可使用其支付ChatGPT Plus服务费，确保交易的安全性和便利性。

[smiley78]

Get “ChatGPT Plus” for 50% less! Click here!

[drcpanda12]

New Post has been published on https://www.knewtoday.net/the-rise-of-openai-advancing-artificial-intelligence-for-the-benefit-of-humanity/

The Rise of OpenAI: Advancing Artificial Intelligence for the Benefit of Humanity

OpenAI is a research organization that is focused on advancing artificial intelligence in a safe and beneficial manner. It was founded in 2015 by a group of technology luminaries, including Elon Musk, Sam Altman, Greg Brockman, and others, with the goal of creating AI that benefits humanity as a whole.

OpenAI conducts research in a wide range of areas related to AI, including natural language processing, computer vision, robotics, and more. It also develops cutting-edge AI technologies and tools, such as the GPT series of language models, which have been used in a variety of applications, from generating realistic text to aiding in scientific research.

In addition to its research and development work, OpenAI is also committed to promoting transparency and safety in AI. It has published numerous papers on AI ethics and governance and has advocated for responsible AI development practices within the industry and among policymakers.

Introduction to OpenAI: A Brief History and Overview

An American artificial intelligence (AI) research facility called OpenAI is made as a non-profit organization. OpenAI Limited Partnership is its for-profit sister company. The stated goal of OpenAI’s AI research is to advance and create a benevolent AI. Microsoft’s Azure supercomputing platform powers OpenAI systems.

Ilya Sutskever, Greg Brockman, Trevor Blackwell, Vicki Cheung, Andrej Karpathy, Durk Kingma, John Schulman, Pamela Vagata, and Wojciech Zaremba created OpenAI in 2015; the inaugural board of directors included Sam Altman and Elon Musk. Microsoft invested $1 billion in OpenAI LP in 2019 and another $10 billion in 2023.

Brockman compiled a list of the “top researchers in the field” after meeting Yoshua Bengio, one of the “founding fathers” of the deep learning movement. In December 2015, Brockman was able to bring on nine of them as his first workers. In 2016, OpenAI paid business compensation rather than nonprofit payments to its AI researchers, but not salaries that were on par with Facebook or Google.

Several researchers joined the company because of OpenAI’s potential and mission; one Google employee claimed he was willing to leave the company “partly because of the very strong group of people and, to a very big extent, because of its mission.” Brockman said that advancing humankind’s ability to create actual AI in a secure manner was “the best thing I could imagine doing.” Wojciech Zaremba, a co-founder of OpenAI, claimed that he rejected “borderline ridiculous” offers of two to three times his market value in order to join OpenAI.

A public beta of “OpenAI Gym,” a platform for reinforcement learning research, was made available by OpenAI in April 2016. “Universe,” a software platform for assessing and honing an AI’s general intelligence throughout the universe of games, websites, and other applications, was made available by OpenAI in December 2016.

OpenAI’s Research Areas: Natural Language Processing, Computer Vision, Robotics, and More

In 2021, OpenAI will concentrate its research on reinforcement learning (RL).

Gym

Gym, which was introduced in 2016, intends to offer a general-intelligence benchmark that is simple to deploy across a wide range of environments—similar to, but more extensive than, the ImageNet Large Scale Visual Recognition Challenge used in supervised learning research. In order to make published research more easily replicable, it aims to standardize how environments are characterized in publications on AI. The project asserts that it offers a user-friendly interface. The gym may only be used with Python as of June 2017. The Gym documentation site was no longer maintained as of September 2017, and its GitHub page was the site of ongoing activity.

RoboSumo

In the 2017 virtual reality game RoboSumo, humanoid meta-learning robot agents compete against one another with the aim of learning how to move and shoving the rival agent out of the arena. When an agent is taken out of this virtual environment and placed in a different virtual environment with strong gusts, the agent braces to stay upright, indicating it has learned how to balance in a generic fashion through this adversarial learning process. Igor Mordatch of OpenAI contends that agent competition can lead to an intelligence “arms race,” which can improve an agent’s capacity to perform, even outside of the confines of the competition.

Video game bots

In the competitive five-on-five video game Dota 2, a squad of five OpenAI-curated bots known as OpenAI Five is utilized. These bots are trained to compete against human players at a high level solely by trial-and-error techniques. The first public demonstration took place at The International 2017, the yearly premier championship event for the game, where Dendi, a professional Ukrainian player, lost to a bot in a real-time one-on-one matchup before becoming a team of five. Greg Brockman, CTO, revealed after the game that the bot had learned by competing against itself for two weeks in real-time, and that the learning software was a step toward developing software that could perform intricate jobs like a surgeon.

By June 2018, the bots had improved to the point where they could play as a full team of five, defeating teams of amateur and semi-professional players. OpenAI Five competed in two exhibition games at The International 2018 against top players, but they both lost. In a live demonstration game in San Francisco in April 2019, OpenAI Five upset OG, the current global champions of the game, 2:0.During that month, the bots made their last public appearance, winning 99.4% of the 42,729 games they participated in over a four-day open internet competition.

Dactyl

In 2018 Dactyl uses machine learning to teach a Shadow Hand, a robotic hand that resembles a human hand, how to manipulate actual objects. It uses the same RL algorithms and training code as OpenAI Five to learn totally in simulation. Domain randomization, a simulation method that exposes the learner to a variety of experiences rather than attempting to match them to reality, was used by OpenAI to address the object orientation problem. Dactyl’s setup includes RGB cameras in addition to motion tracking cameras so that the robot may control any object simply by looking at it. In 2018, OpenAI demonstrated that the program could control a cube and an octagonal prism.

2019 saw OpenAI present Dactyl’s ability to solve a Rubik’s Cube. 60% of the time, the robot was successful in resolving the puzzle. It is more difficult to model the complex physics introduced by items like Rubik’s Cube. This was resolved by OpenAI by increasing Dactyl’s resistance to disturbances; they did this by using a simulation method known as Automated Domain Randomization (ADR),

OpenAI’s GPT model

Alec Radford and his colleagues wrote the initial study on generative pre-training of a transformer-based language model, which was released as a preprint on OpenAI’s website on June 11, 2018. It demonstrated how pre-training on a heterogeneous corpus with lengthy stretches of continuous text allows a generative model of language to gain world knowledge and understand long-range dependencies.

A language model for unsupervised transformers, Generative Pre-trained Transformer 2 (or “GPT-2”) is the replacement for OpenAI’s first GPT model. The public initially only saw a few number of demonstrative copies of GPT-2 when it was first disclosed in February 2019. GPT-2’s complete release was delayed due to worries about potential abuse, including uses for creating fake news. Some analysts questioned whether GPT-2 posed a serious threat.

It was trained on the WebText corpus, which consists of little more than 8 million documents totaling 40 gigabytes of text from Links published in Reddit contributions that have received at least three upvotes. Adopting byte pair encoding eliminates some problems that can arise when encoding vocabulary with word tokens. This makes it possible to express any string of characters by encoding both single characters and tokens with multiple characters.

GPT-3

Benchmark results for GPT-3 were significantly better than for GPT-2. OpenAI issued a warning that such language model scaling up might be nearing or running into the basic capabilities limitations of predictive language models.

Many thousand petaflop/s-days of computing were needed for pre-training GPT-3 as opposed to tens of petaflop/s-days for the complete GPT-2 model. Similar to its predecessor, GPT-3’s fully trained model wasn’t immediately made available to the public due to the possibility of abuse, but OpenAI intended to do so following a two-month free private beta that started in June 2020. Access would then be made possible through a paid cloud API.

GPT-4

The release of the text- or image-accepting Generative Pre-trained Transformer 4 (GPT-4) was announced by OpenAI on March 14, 2023. In comparison to the preceding version, GPT-3.5, which scored in the bottom 10% of test takers,

OpenAI said that the revised technology passed a simulated law school bar exam with a score in the top 10% of test takers. GPT-4 is also capable of writing code in all of the major programming languages and reading, analyzing, or producing up to 25,000 words of text.

DALL-E and CLIP images

DALL-E, a Transformer prototype that was unveiled in 2021, generates visuals from textual descriptions. CLIP, which was also made public in 2021, produces a description for an image.

DALL-E interprets natural language inputs (such as an astronaut riding on a horse)) and produces comparable visuals using a 12-billion-parameter version of GPT-3. It can produce pictures of both actual and unreal items.

ChatGPT and ChatGPT Plus

An artificial intelligence product called ChatGPT, which was introduced in November 2022 and is based on GPT-3, has a conversational interface that enables users to ask queries in everyday language. The system then provides an answer in a matter of seconds. Five days after its debut, ChatGPT had one million members.

ChatGPT Plus is a $20/month subscription service that enables users early access to new features, faster response times, and access to ChatGPT during peak hours.

Ethics and Safety in AI: OpenAI’s Commitment to Responsible AI Development

As artificial intelligence (AI) continues to advance and become more integrated into our daily lives, concerns around its ethics and safety have become increasingly urgent. OpenAI, a research organization focused on advancing AI in a safe and beneficial manner, has made a commitment to responsible AI development that prioritizes transparency, accountability, and ethical considerations.

One of the ways that OpenAI has demonstrated its commitment to ethical AI development is through the publication of numerous papers on AI ethics and governance. These papers explore a range of topics, from the potential impact of AI on society to the ethical implications of developing powerful AI systems. By engaging in these discussions and contributing to the broader AI ethics community, OpenAI is helping to shape the conversation around responsible AI development.

Another way that OpenAI is promoting responsible AI development is through its focus on transparency. The organization has made a point of sharing its research findings, tools, and technologies with the wider AI community, making it easier for researchers and developers to build on OpenAI’s work and improve the overall quality of AI development.

In addition to promoting transparency, OpenAI is also committed to safety in AI. The organization recognizes the potential risks associated with developing powerful AI systems and has taken steps to mitigate these risks. For example, OpenAI has developed a framework for measuring AI safety, which includes factors like robustness, alignment, and transparency. By considering these factors throughout the development process, OpenAI is working to create AI systems that are both powerful and safe.

OpenAI has also taken steps to ensure that its own development practices are ethical and responsible. The organization has established an Ethics and Governance board, made up of external experts in AI ethics and policy, to provide guidance on OpenAI’s research and development activities. This board helps to ensure that OpenAI’s work is aligned with its broader ethical and societal goals.

Overall, OpenAI’s commitment to responsible AI development is an important step forward in the development of AI that benefits humanity as a whole. By prioritizing ethics and safety, and by engaging in open and transparent research practices, OpenAI is helping to shape the future of AI in a positive and responsible way.

Conclusion: OpenAI’s Role in Shaping the Future of AI

OpenAI’s commitment to advancing AI in a safe and beneficial manner is helping to shape the future of AI. The organization’s focus on ethical considerations, transparency, and safety in AI development is setting a positive example for the broader AI community.

OpenAI’s research and development work is also contributing to the development of cutting-edge AI technologies and tools. The GPT series of language models, developed by OpenAI, have been used in a variety of applications, from generating realistic text to aiding in scientific research. These advancements have the potential to revolutionize the way we work, communicate, and learn.

In addition, OpenAI’s collaborations with industry leaders and their impact on real-world applications demonstrate the potential of AI to make a positive difference in society. By developing AI systems that are safe, ethical, and transparent, OpenAI is helping to ensure that the benefits of AI are shared by all.

As AI continues to evolve and become more integrated into our daily lives, the importance of responsible AI development cannot be overstated. OpenAI’s commitment to ethical considerations, transparency, and safety is an important step forward in creating AI that benefits humanity as a whole. By continuing to lead the way in responsible AI development, OpenAI is helping to shape the future of AI in a positive and meaningful way.

Best Text to Speech AI Voices

[trendsalife]

10 Things You Shouldn’t Use ChatGPT For

With various applications, there are certain use cases where it may not be the most suitable choice. Here are ten things you should avoid using ChatGPT for: read more

www.trendsalife.com

[chatgptplus]

Có sử dụng phiên bản miễn phí của ChatGPT để phát triển ChatGPT Plus không?

ChatGPT Plus là một phiên bản nâng cao của ChatGPT và có thể được phát triển bằng cách sử dụng phiên bản miễn phí của ChatGPT như là một phần của quá trình huấn luyện. Tuy nhiên, để phát triển một phiên bản nâng cao như ChatGPT Plus, các nhà phát triển cần phải có tài nguyên và chuyên môn để thực hiện việc nghiên cứu, phát triển và triển khai hệ thống. Vì vậy, việc phát triển ChatGPT Plus không chỉ dựa trên phiên bản miễn phí của ChatGPT mà còn phụ thuộc vào các tài nguyên và kỹ năng khác của các nhà phát triển.

Xem thêm: https://topchuyengia.vn/huong-dan/chat-gpt-plus

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[toshfeed]

Unleashing the Power of AI: Transforming Industries Across the Globe

“AI” stands for Artificial Intelligence. It refers to the simulation of human intelligence in machines that are programmed to think and mimic human actions. These machines are designed to perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI technologies include machine learning, neural networks,…