Difference between revisions of "Gemini"

From
Jump to: navigation, search
m
m
Line 20: Line 20:
 
[https://www.bing.com/news/search?q=ai+Google+Gemini+DeepMind&qft=interval%3d%228%22 ...Bing News]
 
[https://www.bing.com/news/search?q=ai+Google+Gemini+DeepMind&qft=interval%3d%228%22 ...Bing News]
  
 +
 +
* [[Conversational AI]] ... [[ChatGPT]] | [[OpenAI]] ... [[Bing/Copilot]] | [[Microsoft]] ... [[Gemini]] | [[Google]] ... [[Claude]] | [[Anthropic]] ... [[Perplexity]] ... [[You]] ... [[phind]] ... [[Ernie]] | [[Baidu]]
 
* [[What is Artificial Intelligence (AI)? | Artificial Intelligence (AI)]] ... [[Generative AI]] ... [[Machine Learning (ML)]] ... [[Deep Learning]] ... [[Neural Network]] ... [[Reinforcement Learning (RL)|Reinforcement]] ... [[Learning Techniques]]
 
* [[What is Artificial Intelligence (AI)? | Artificial Intelligence (AI)]] ... [[Generative AI]] ... [[Machine Learning (ML)]] ... [[Deep Learning]] ... [[Neural Network]] ... [[Reinforcement Learning (RL)|Reinforcement]] ... [[Learning Techniques]]
−
* [[Conversational AI]] ... [[ChatGPT]] | [[OpenAI]] ... [[Bing]] | [[Microsoft]] ... [[Bard]] | [[Google]] ... [[Claude]] | [[Anthropic]] ... [[Perplexity]] ... [[You]] ... [[Ernie]] | [[Baidu]]
+
* [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
 +
** ... help test Bard's latest version (experiment) in [https://labs.withgoogle.com/ Google Labs]
 +
* [[PaLM|PaLM-E]]
 +
* [[Gemini]] | [[Google]] DeepMind
 +
* [[Artificial General Intelligence (AGI) to Singularity]] ... [[Inside Out - Curious Optimistic Reasoning| Curious Reasoning]] ... [[Emergence]] ... [[Moonshots]] ... [[Explainable / Interpretable AI|Explainable AI]] ...  [[Algorithm Administration#Automated Learning|Automated Learning]]
 +
* [[In-Context Learning (ICL)]] ... [[Large Language Model (LLM)|LLM]]s understand to encode learning algorithms implicitly during their training processes  ... [[Context]]
 +
* [https://www.phind.com/ phind]  ... The AI search engine for developers
 +
* [[Assistants]] ... [[Personal Companions]] ... [[Agents]]  ... [[Negotiation]] ... [[LangChain]]
 +
* [[Large Language Model (LLM)]] ... [[Natural Language Processing (NLP)]]  ...[[Natural Language Generation (NLG)|Generation]] ... [[Natural Language Classification (NLC)|Classification]] ...  [[Natural Language Processing (NLP)#Natural Language Understanding (NLU)|Understanding]] ... [[Language Translation|Translation]] ... [[Natural Language Tools & Services|Tools & Services]]
 +
* [[Attention]] Mechanism  ...[[Transformer]] ...[[Generative Pre-trained Transformer (GPT)]] ... [[Generative Adversarial Network (GAN)|GAN]] ... [[Bidirectional Encoder Representations from Transformers (BERT)|BERT]]
 +
* [[Prompt Engineering (PE)]] ...[[Prompt Engineering (PE)#PromptBase|PromptBase]] ... [[Prompt Injection Attack]]
 +
* [[Analytics]] ... [[Visualization]] ... [[Graphical Tools for Modeling AI Components|Graphical Tools]] ... [[Diagrams for Business Analysis|Diagrams]] & [[Generative AI for Business Analysis|Business Analysis]] ... [[Requirements Management|Requirements]] ... [[Loop]] ... [[Bayes]] ... [[Network Pattern]]
 +
* [[Text Transfer Learning]]
 +
* [[Cybersecurity]] ... [[Open-Source Intelligence - OSINT |OSINT]] ... [[Cybersecurity Frameworks, Architectures & Roadmaps | Frameworks]] ... [[Cybersecurity References|References]] ... [[Offense - Adversarial Threats/Attacks| Offense]] ... [[National Institute of Standards and Technology (NIST)|NIST]] ... [[U.S. Department of Homeland Security (DHS)| DHS]] ... [[Screening; Passenger, Luggage, & Cargo|Screening]] ... [[Law Enforcement]] ... [[Government Services|Government]] ... [[Defense]] ... [[Joint Capabilities Integration and Development System (JCIDS)#Cybersecurity & Acquisition Lifecycle Integration| Lifecycle Integration]] ... [[Cybersecurity Companies/Products|Products]] ... [[Cybersecurity: Evaluating & Selling|Evaluating]]
 +
* [[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] ...
 +
** [[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://www.engadget.com/googles-bard-ai-chatbot-has-learned-to-talk-070111881.html Google's Bard AI chatbot has learned to talk | Andrew Tarantola - Engadget] ... understanding 40 languages and can speak its responses.
 +
* [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]
 +
* [https://www.androidcentral.com/apps-software/google-assistant-bard-ui-spotted-again We now know how Google Assistant with Bard will look and work on Android | Brady Snyder - Android Central]
 +
 
 
* [https://9to5google.com/2024/02/26/google-messages-gemini/ Google Messages will let you chat with Gemini | Abner Li - 9TO5Google] ... “Gemini” will appear as a new conversation in Google Messages.
 
* [https://9to5google.com/2024/02/26/google-messages-gemini/ Google Messages will let you chat with Gemini | Abner Li - 9TO5Google] ... “Gemini” will appear as a new conversation in Google Messages.
  

Revision as of 10:40, 16 March 2024

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



Google DeepMind's Gemini (Generalized Multimodal Intelligence Network) is a Large Language Model (LLM) processing six or more data types and functioning as a synergistic network of multiple AI models for various tasks, offering unprecedented flexibility and scalability with potential applications including novel content creation and translation between different data types. Gemini is designed to be a more powerful and versatile LLM than its predecessors, such as GPT-4 and |PaLM-E. Gemini is expected to be able to perform a wider range of tasks, Gemini is being developed using a combination of Deep Learning and Reinforcement Learning (RL) techniques. This approach is expected to give Gemini the ability to learn from experience and improve its performance over time.



Gemini possesses the remarkable ability to generate genuinely novel outputs; instead of just mimicking its original training data that it was built on.



Here are some of the key features of Gemini:

  • It is a Multimodal Large Language Model (LLM), meaning that it can process and understand multiple types of data, such as text, code, images, and videos.
  • It is a large-scale model, with over 100 billion parameters. This gives it the ability to learn complex patterns and relationships in data.
  • It is trained using a combination of deep learning and reinforcement learning techniques. This gives it the ability to learn from experience and improve its performance over time.
  • It is designed to be more general-purpose than previous LLMs. This means that it can be used for a wider range of tasks.


Retrieved from "https://primo.ai/index.php?title=Gemini&oldid=36033"