|
|
| (69 intermediate revisions by the same user not shown) |
| Line 1: |
Line 1: |
| − | {{#seo:
| + | [[Gemini]] |
| − | |title=PRIMO.ai
| |
| − | |titlemode=append
| |
| − | |keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, TensorFlow, Meta, Facebook, Google, Nvidia, Microsoft, Azure, Amazon, AWS
| |
| − | |description=Helpful resources for your journey with artificial intelligence; Attention, GPT, chat, chatbot, videos, articles, techniques, courses, profiles, and tools
| |
| − | }}
| |
| − | [https://www.youtube.com/results?search_query=ai+Google+Bard+chat YouTube] | |
| − | [https://www.quora.com/search?q=ai%20Google%20Bard%20chat ... Quora]
| |
| − | [https://www.google.com/search?q=ai+Google+Bard+chat ...Google search]
| |
| − | [https://news.google.com/search?q=ai+Google+Bard+chat ...Google News]
| |
| − | [https://www.bing.com/news/search?q=ai+Google+Bard+chat&qft=interval%3d%228%22 ...Bing News]
| |
| − | | |
| − | | |
| − | * [https://bard.google.com/ Bard] | [[Google]]
| |
| − | * ... Open the Google app on your smartphone and tap on the [[Assistants#Chatbot | Chatbot]] icon, enter your prompt and hit enter
| |
| − | * [[Generative AI]] ... [[OpenAI]]'s [[ChatGPT]] ... [[Perplexity]] ... [[Microsoft]]'s [[Bing]] ... [[You]] ...[[Google]]'s [[Bard]] ... [[Baidu]]'s [[Ernie]]
| |
| − | | |
| − | * [[Assistants]] ... [[Hybrid Assistants]] ... [[Agents]] ... [[Negotiation]] ... [[LangChain]]
| |
| − | * [[Python]] ... [[Generative AI with Python]] ... [[Javascript]] ... [[Generative AI with Javascript]] ... [[Game Development with Generative AI]]
| |
| − | * [[Development]] ...[[Development#AI Pair Programming Tools|AI Pair Programming Tools]] ... [[Analytics]] ... [[Visualization]] ... [[Diagrams for Business Analysis]]
| |
| − | * [[Natural Language Processing (NLP)]] ...[[Natural Language Generation (NLG)|Generation]] ...[[Large Language Model (LLM)|LLM]] ...[[Natural Language Tools & Services|Tools & Services]]
| |
| − | * [[Attention]] Mechanism ...[[Transformer]] Model ...[[Generative Pre-trained Transformer (GPT)]]
| |
| − | * [[Prompt Engineering (PE)]] ...[[Prompt Engineering (PE)#PromptBase|PromptBase]] ... [[Prompt Injection Attack]]
| |
| − | ** [[Generative AI for Business Analysis]]
| |
| − | * [[Text Transfer Learning]]
| |
| − | * [[Cybersecurity]]
| |
| − | * [[Google]]/Deepmind:
| |
| − | ** [https://arxiv.org/abs/2209.14375 Sparrow - A. Glaese, N. McAleese, M. Trębacz, J. Aslanides, V. Firoiu, T. Ewalds, M. Rauh, L. Weidinger, M. Chadwick, P. Thacker, L. Campbell-Gillingham, J. Uesato, P. Huang, R. Comanescu, F. Yang, A. See, S. Dathathri, R. Greig, C. Chen, D. Fritz, J. Elias, R. Green, S. Mokrá, N. Fernando, B. Wu, R. Foley, S. Young, I. Gabriel, W. Isaac, J. Mellor, D. Hassabis, K. Kavukcuoglu, L. Hendricks, and G. Irving]
| |
| − | *** [https://the-decoder.com/google-may-use-deepminds-sparrow-as-chatgpt-competitor/ Google may use Deepmind’s Sparrow as ChatGPT competitor | Matthias Bastian - The Decoder]
| |
| − | *** [https://www.sportskeeda.com/gaming-tech/how-google-s-ai-tool-sparrow-looking-kill-chatgpt How Google's AI tool Sparrow is looking to kill ChatGPT | Mayank Kumar - Sports news] ...
| |
| − | ** [https://www.anthropic.com/Claude Claude |] [https://www.anthropic.com/ | Anthropic]
| |
| − | *** [https://techcrunch.com/2023/01/09/anthropics-claude-improves-on-chatgpt-but-still-suffers-from-limitations/ Anthropic’s Claude improves on ChatGPT but still suffers from limitations | Kyle Wiggers - TechCrunch]
| |
| − | *** [https://www.bloomberg.com/news/articles/2023-02-03/google-invests-almost-400-million-in-ai-startup-anthropic Invests Almost $400 Million in ChatGPT Rival Anthropic | Davey Alba & Dina Bass - Bloomberg]
| |
| − | ** [https://cohere.ai/classify Classify], [https://cohere.ai/generate Generate], and [https://cohere.ai/embed Embed] | [https://cohere.ai/ co:here] ...
| |
| − | ** [https://www.deepmind.com/publications/an-empirical-analysis-of-compute-optimal-large-language-model-training Chinchilla | DeepMind -]
| |
| − | ** [https://c3.ai/products/c3-ai-applications/ C3 AI Applications] | [https://c3.ai/ C3 AI]
| |
| − | * [https://interestingengineering.com/culture/google-built-chatgpt-like-ai-years-ago Google engineers had built ChatGPT-like AI years ago but executives blocked it | Ameya Paleja - Interesting Engineering]
| |
| − | * [https://arstechnica.com/gadgets/2023/03/google-shows-off-what-chatgpt-would-be-like-in-gmail-and-google-docs/ Google shows off what ChatGPT would be like in Gmail and Google Docs | Ron Amadeo - Ars Technica]
| |
| − | * [https://www.neowin.net/news/google-bard-will-soon-switch-language-models-from-lamda-to-palm-to-compete-with-bing-chat/ Google Bard will soon switch langauage models from LaMDA to PaLM to compete with Bing Chat | John Callaham - Neowin]
| |
| − | | |
| − | | |
| − | 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.
| |
| − | | |
| − | Here is 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.
| |
| − | | |
| − | | |
| − | <youtube>Srx1IZXoiJU</youtube>
| |
| − | <youtube>HwUt9ZRziBE</youtube>
| |
| − | <youtube>2M2pSADmSDs</youtube>
| |
| − | <youtube>q5nyE3RTc9M</youtube>
| |
| − | <youtube>BXaPyaVymkk</youtube>
| |
| − | <youtube>pZ5Y3xEkCA8</youtube>
| |
| − | | |
| − | | |
| − | | |
| − | = <span id="LaMDA"></span>LaMDA =
| |
| − | | |
| − | * [https://www.blog.google/technology/ai/lamda/ LaMDA |] [[Google]]
| |
| − | * [https://www.cnet.com/google-amp/news/google-unveils-its-chatgpt-rival/ Google Unveils Its ChatGPT Rival for AI-Powered Conversation | Stephen Shankland & Oscar Gonzalez - CNET] ... Meet Bard, Google's AI [[Assistants#Chatbot | Chatbot]] powered by LaMDA.
| |
| − | * [https://blog.google/technology/ai/lamda/ LaMDA (Language Model for Dialogue Applications): our breakthrough conversation technology | ] [[Google]]
| |
| − | | |
| − | | |
| − | = <span id="LaMDA"></span>LaMDA =
| |
| − | | |
| − | * [https://www.blog.google/technology/ai/lamda/ LaMDA |] [[Google]]
| |
| − | * [https://www.cnet.com/google-amp/news/google-unveils-its-chatgpt-rival/ Google Unveils Its ChatGPT Rival for AI-Powered Conversation | Stephen Shankland & Oscar Gonzalez - CNET] ... Meet Bard, Google's AI [[Assistants#Chatbot | Chatbot]] powered by LaMDA.
| |
| − | * [https://blog.google/technology/ai/lamda/ LaMDA (Language Model for Dialogue Applications): our breakthrough conversation technology | ] [[Google]]
| |
| − | | |
| − | 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. [https://dataconomy.com/2023/02/how-to-use-google-bard-ai-chatbot-examples/#:~:text=How%20to%20use%20the%20Google,your%20prompt%20and%20hit%20enter! | Sundar Pichal - Dataconomy]
| |
