Bard

From
Revision as of 19:15, 5 April 2023 by BPeat (talk | contribs)
Jump to: navigation, search

YouTube ... Quora ...Google search ...Google News ...Bing News



Bard is a large language model (LLM) that is trained on a massive dataset of text and code. This dataset includes everything from books and articles to code and code comments. Bard is able to learn from this data and generate text that is similar to the text that it has been trained on. The data that Bard is trained on is processed using a technique called tokenization.

Tokenization is the process of breaking down text into smaller units, called tokens. In the case of Bard, tokens are typically words or phrases. The model learns to associate these tokens with the meaning of the text that they are found in. The tokens that Bard is trained on are typically words or phrases. These tokens are learned from the massive dataset of text and code that Bard is trained on. The model learns to associate these tokens with the meaning of the text that they are found in. For example, the token "the" is typically associated with the beginning of a sentence, while the token "a" is typically associated with the beginning of an indefinite noun phrase. The model learns to associate these tokens with their meaning in the context of the text that they are found in.This allows Bard to generate text that is grammatically correct and that makes sense in the context of the user's query. The specific tokens that Bard is trained on are a trade secret. However, it is likely that the tokens include common words and phrases, as well as more specialized tokens that are related to specific domains of knowledge.

The tokens that Bard is trained on are important because they allow the model to generate text that is relevant to the user's query. If the model is not trained on a specific token, it will not be able to generate text that is relevant to a query that uses that token. For example, if the model is not trained on the token "if", it will not be able to generate text that is relevant to a query that asks for a code snippet that uses the "if" statement. This allows Bard to generate text that is grammatically correct and that makes sense in the context of the user's query. The specific tokens that Bard is trained on are a trade secret. However, it is likely that the tokens include common words and phrases, as well as more specialized tokens that are related to specific domains of knowledge.

When a user prompts Bard with a question or request, the model uses the tokens that it has learned to generate text that is relevant to the user's query. The model also uses the tokens to generate text that is grammatically correct and that makes sense in the context of the user's query. The user interface for Bard is simple and easy to use. The user can type in a question or request, and the model will generate text that is relevant to the user's query. The model will generate text that is relevant to the user's query by using the tokens that it has learned to associate with the meaning of the user's query. The user can also ask the model to generate text in a specific style, such as a poem or a code snippet.


Gopher

YouTube ... Quora ...Google search ...Google News ...Bing News


Prompt: I heard you were going to get a new LLM

Bard: Yes, that's correct. Google is working on a new LLM called Gopher, which is expected to be much larger and more powerful than the current LLMs. Gopher is being trained on a massive dataset of text and code, and it is expected to be able to perform a wide range of tasks, including generating text, translating languages, writing different kinds of creative content, and answering your questions in an informative way. Google has not yet announced a release date for Gopher, but it is expected to be available in the near future. I am excited to see what Gopher can do, and I am confident that it will be a valuable tool for me and for others.

Prompt: Can you tell me more about Gopher?

Bard: Gopher is a large language model (LLM) from Google AI, trained on a massive dataset of text and code. It was announced in January 2023 and is expected to be released in the near future. Gopher is designed to be a more powerful and versatile LLM than the current LLMs, and it is expected to be able to perform a wide range of tasks, including generating text, translating languages, writing different kinds of creative content, and answering your questions in an informative way. Gopher is being trained on a dataset of text and code that is much larger than the datasets used to train the current LLMs. This larger dataset will allow Gopher to learn more about the world and to be more accurate in its responses. Gopher is also being trained using a new technique called "deep learning," which allows it to learn more complex patterns and relationships in the data. Gopher is expected to be a valuable tool for a variety of applications, including search, translation, and education. It is also expected to be a powerful tool for creative writing and for generating new ideas. Here are some of the things that Gopher can do:

  • Generate text: Gopher can generate text in a variety of styles, including news articles, blog posts, and creative writing.
  • Translate languages: Gopher can translate text from one language to another.
  • Write different kinds of creative content: Gopher can write different kinds of creative content, such as poems, code, scripts, musical pieces, email, letters, etc.
  • Answer your questions in an informative way: Gopher can answer your questions in an informative way, even if they are open ended, challenging, or strange.

Gopher is still under development, but it has already learned to perform many kinds of tasks. It is expected to be a valuable tool for a variety of applications, including search, translation, and education.


PaLM

YouTube ... Quora ...Google search ...Google News ...Bing News


Achieving state-of-the-art few-shot learning results on hundreds of language understanding and generation benchmarks. On a number of these tasks, PaLM 540B achieves breakthrough performance, outperforming the finetuned state-of-the-art on a suite of multi-step reasoning tasks, and outperforming average human performance on the recently released BIG-bench benchmark. A significant number of BIG-bench tasks showed discontinuous improvements from model scale, meaning that performance steeply increased as we scaled to our largest model. PaLM also has strong capabilities in multilingual tasks and source code generation, which we demonstrate on a wide array of benchmarks.


LaMDA

YouTube ... Quora ...Google search ...Google News ...Bing News


LaMDA is “the language model” that people are afraid of. After a Google employee believed LaMDA was conscious, the AI became a topic of discussion due to the impression it gave off in its answers. In addition, the engineer hypothesized that LaMDA, like humans, expresses its anxieties through communication. First and foremost, it is a statistical method for predicting the following words in a series based on the previous ones. LaMDA’s innovativeness lies in the fact that it may stimulate dialogue in a looser fashion than is allowed by task-based responses. So that the conversation can flow freely from one topic to another, a conversational language model needs to be familiar with concepts such as Multimodal user intent, reinforcement learning, and suggestions. | Sundar Pichal - Dataconomy.


An example of how Bard can be used to generate text

User: What is the meaning of life?

Bard: The meaning of life is a question that has been pondered by philosophers and theologians for centuries. There is no one answer that will satisfy everyone, but some possible answers include:

To find happiness and fulfillment. To make a difference in the world. To learn and grow as a person. To connect with others and build relationships. Ultimately, the meaning of life is up to each individual to decide.

User: Write me a poem about love.

Bard: Love is a many splendored thing.

It's the April rose that only grows in the early spring.

Love is nature's way of giving a reason to the rhyme.

Without love, we're just hollow reeds blowing in time.


Love is the dew on the morning grass.

It's the first warm rays of sunshine that shine through the glass.

Love is the song of the bird in the tree.

It's the gentle breeze that blows through me.


Love is the smile on your face.

It's the touch of your hand that makes me feel safe.

Love is the light in your eyes.

It's the reason I'll always rise.


User: Write me a code snippet that prints "Hello, world!"

print("Hello, world!")

As you can see, Bard is a powerful tool that can be used to generate text in a variety of formats.

Retrieved from "https://primo.ai/index.php?title=Bard&oldid=25086"