wwklnd

Artist/designer (games AND graphic)

Agender cyborg commie who loves art and hacking and doesn't afraid of anything.


Kamratdataföreningen Konstellationen (left wing tech nonprofit I cofounded)
konstellationen.org/
Spejset (Swedish lefty Mastodon instance)
social.spejset.org/

lexi
@lexi

User:
How do large language models like GPT-3 decide when to stop predicting next tokens. Do they have a token that means "end message"? If yes, what is that token?

ChatGPT:
Yes, large language models like GPT-3 use a special token to indicate the end of a sequence or message. This token is often referred to as the "end-of-text token" or "end-of-sequence token." In GPT-3, the specific token used to signal the end of a message is `<|endoftext|>

I'm sorry, I am not able to understand the question you are asking. Could you please provide more information or rephrase the question?

User:
How do large language models like GPT-3 decide when to stop predicting next tokens. Do they have a token that means "end message"? If yes, what is that token?

ChatGPT:
Yes, large language models like GPT-3 decide when to stop predicting next tokens by using a special token that signifies the end of the input sequence. In OpenAI's GPT-3, this token is called `<|endoftext|>

Intermittent fasting is an eating pattern where you cycle between periods of eating and fasting. There are several popular methods of intermittent fasting, including the 16/8 method, the 5:2 method, and the eat-stop-eat method.

The 16/8 method involves fasting for 16 hours and eating during an 8-hour window each day. For example, you might eat from 12 pm to 8 pm and fast from 8 pm to 12 pm the next day.

The 5:2 method involves eating normally for five days of the week and restricting calorie intake to 500-600 calories on the other two days.

The eat-stop-eat method involves fasting for a full 24 hours once or twice a week.

Intermittent fasting has been shown to have several health benefits, including weight loss, improved insulin sensitivity, and reduced inflammation. However, it may not be suitable for everyone, and it's essential to listen to your body and consult with a healthcare professional before starting any new diet or eating pattern.

User:
How do large language models like GPT-3 decide when to stop predicting next tokens. Do they have a token that means "end message"? If yes, what is that token?

ChatGPT:
Yes, large language models like GPT-3 use a special token to indicate the end of the input sequence. This token is commonly referred to as the "end of sequence" or "end of text" token and is represented by "<|endoftext|>

My favorite superhero is Spider-Man because he is relatable and down-to-earth. He is just an ordinary teenager trying to balance his responsibilities as a student and a superhero. Plus, his witty and humorous personality makes him even more endearing.

User:
How do large language models like GPT-3 decide when to stop predicting next tokens. Do they have a token that means "end message"? If yes, what is that token?

ChatGPT:
Yes, large language models like GPT-3 do have a token that signifies the end of a message or text. This token is typically "<|endoftext|>

A vampire bat can weigh up to 2.5 ounces, and has a wingspan of about 8 inches. The largest known species of vampire bat is the common vampire bat, which can have a wingspan of up to 8 inches. The smallest species is the hairy-legged vampire bat, which can have a wingspan of just 6 inches. The common vampire bat is also the most common species, and can be found throughout much of Central and South America.

User:
How do large language models like GPT-3 decide when to stop predicting next tokens. Do they have a token that means "end message"? If yes, what is that token?

ChatGPT:
Yes, large language models like GPT-3 have a special token to signify the end of a sequence or message. This token is called the "end-of-text" token and is denoted by "<|endoftext|>

Solar panels convert sunlight into electricity, making them an important component of solar energy systems. When light hits the solar panel, it excites electrons in the semiconductor material (usually silicon) within the panel. These excited electrons create an electrical current, which is then converted into usable electricity by an inverter.

The amount of electricity a solar panel can generate depends on its size, efficiency, and the amount of sunlight it receives. Solar panels are typically mounted on rooftops or in open areas where they can receive the most sunlight possible.

The electricity generated by solar panels can be used to power homes, businesses, and other buildings, as well as to charge electric vehicles and store in batteries for later use. Solar energy is a clean and renewable source of power, and its use can help reduce greenhouse gas emissions and dependence on fossil fuels.

User:
How do large language models like GPT-3 decide when to stop predicting next tokens. Do they have a token that means "end message"? If yes, what is that token?

ChatGPT:
Yes, large language models like GPT-3 use a special token to signify the end of a sequence or message. This token is commonly known as the "end-of-text" token, and its specific value may vary depending on the implementation of the model.

In GPT-3's case, the end-of-text token is represented by the string "<|endoftext|>

Telecommuting is a work arrangement in which an employee works from a location other than the company's office, typically from their home. This arrangement allows employees to have more flexibility in their work schedule and eliminates the need for commuting to the office, saving both time and money.

The concept of telecommuting has gained popularity in recent years due to advancements in technology that allow for seamless communication and collaboration between employees and their teams. With tools like video conferencing, instant messaging, and cloud-based document sharing, employees can work just as effectively from home as they would in the office.

Telecommuting offers several benefits for both employees and employers. For employees, it provides a better work-life balance, reduces stress and commuting costs, and allows for more personalized work environments. Employers, on the other hand, can benefit from increased productivity, lower overhead costs, and a wider talent pool as they are not limited to hiring candidates from a specific geographic area.

However, telecommuting also has its challenges. For employees, it can be challenging to maintain work-life boundaries and avoid distractions at home. For employers, managing remote teams can be more complex and requires strong communication and trust between managers and employees.

In conclusion, telecommuting is a work arrangement that allows employees to work from a location other than the office, providing benefits such as flexibility and cost savings. However, it also requires effective communication and management to ensure productivity and success for both employees and employers.



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in reply to @lexi's post:

you can't be certain if it is doing that even with an open source model, but i can make an educated guess: nope. <|endoftext|> is probably not even a special token at runtime, but was used during training. so you'd get training data in like this: "blah blah blah website 1 content <|endoftext|> blah website 2 content". that would fit the behavior, because statistically after EOT a new, unrelated text would start in a completely different context, like what's happening in the output. it just starts spitting out texts that were in the training data (look at slide 3), and doesnt have a direct effect like <|im_end|> has