Skip to main content

Home/ Computer Science Knowledge Sharing/ Group items tagged world

Rss Feed Group items tagged

Janos Haits

Chat with Open Large Language Models - 0 views

  •  
    "hatbot Arena is an open-source research project developed by members from LMSYS and UC Berkeley SkyLab. Our mission is to build an open crowdsourced platform to collect human feedback and evaluate LLMs under real-world scenarios. We open-source our FastChat project at GitHub and release chat and human feedback datasets here. We invite everyone to join us in this journey!"
Janos Haits

The GDELT Project - 0 views

  •  
    "A Global Database of Society Supported by Google Jigsaw, the GDELT Project monitors the world's broadcast, print, and web news from nearly every corner of every country in over 100 languages and identifies the people, locations, organizations, themes, sources, emotions, counts, quotes, images and events driving our global society every second of every day, creating a free open platform for computing on the entire world. "
Janos Haits

What is a Blockchain | Defi Dictionary | Web3 Daily - 0 views

  •  
    "Think of a blockchain as a transaction list that is uploaded to thousands of computers around the world.  If someone sends money to you, that transaction gets added to a queue. Queued transactions are sorted into groups (aka 'blocks') and then processed by one of the thousands of computers operating in the cryptocurrency's network. Once the transaction is complete, it appears on the public transaction list, or 'chain'."
Janos Haits

Glaive - Language models for all - 0 views

  •  
    "At Glaive our vision is to democratise and commoditise AI, to enable a future where all companies and individuals have a fleet of models working for their use cases. Software changed the world and became the most significant tool for humans to solve important problems and create massive wealth and opportunities, however this was only possible because everyone today can build and truly own their software.
Janos Haits

Plandex - AI coding engine for complex tasks - 0 views

  •  
    "An open source, terminal-based AI coding engine. Designed for real-world tasks that span many files."
Janos Haits

Geekbench AI - Cross-Platform AI Benchmark - 0 views

  •  
    " Geekbench AI is a cross-platform AI benchmark that uses real-world machine learning tasks to evaluate AI workload performance. Geekbench AI measures your CPU, GPU, and NPU to determine whether your device is ready for today's and tomorrow's cutting-edge machine learning applications."
Janos Haits

Freenet - 0 views

  •  
    "Introducing Freenet-a decentralized replacement for the World Wide Web. Acting as a global, shared computing platform, Freenet can be accessed via a standard web browser or embedded into software via an API."
Janos Haits

AssemblyAI | AI models to transcribe and understand speech - 0 views

  •  
    "Speech-to-text to powerful outcomes Top startups and enterprises rely on AssemblyAI's breakthrough speech-to-text and speech understanding models for reliable source-truth data that powers world-class products."
Abdelrahman Ogail

Theory of mind - Wikipedia, the free encyclopedia - 0 views

  • Theory of mind is the ability to attribute mental states—beliefs, intents, desires, pretending, knowledge, etc.—to oneself and others and to understand that others have beliefs, desires and intentions that are different from one's own.[1]
  • One of the most important milestones in theory of mind development is gaining the ability to attribute false belief: that is, to recognize that others can have beliefs about the world that are wrong. To do this, it is suggested, one must understand how knowledge is formed, that people’s beliefs are based on their knowledge, that mental states can differ from reality, and that people’s behavior can be predicted by their mental states. Numerous versions of the false-belief task have been developed, based on the initial task done by Wimmer and Perner (1983).
  • In the most common version of the false-belief task (often called the ‘Sally-Anne’ task), children are told or shown a story involving two characters. For example, in one version, the child is shown two dolls, Sally and Anne, playing with a marble. The dolls put away the marble in a box, and then Sally leaves. Anne takes the marble out and plays with it again, and after she is done, puts it away in a different box. Sally returns and the child is then asked where Sally will look for the marble. The child passes the task if she answers that Sally will look in the first box where she put the marble; the child fails the task if she answers that Sally will look in the second box, where the child knows the marble is hidden, even though Sally cannot know, since she did not see it hidden there. In order to pass the task, the child must be able to understand that another’s mental representation of the situation is different from their own, and the child must be able to predict behavior based on that understanding. The results of research using false-belief tasks have been fairly consistent: most normally-developing children are unable to pass the tasks until around the age of three or four.
    • Abdelrahman Ogail
       
      Test your small brother this test if he/she under 3 years!
Abdelrahman Ogail

Belief-Desire-Intention model - Wikipedia, the free encyclopedia - 1 views

  • The Belief-Desire-Intention (BDI) model of human practical reasoning was developed by Michael Bratman as a way of explaining future-directed intention. BDI is fundamentally reliant on folk psychology (the 'theory theory'), which is the notion that our mental models of the world are theories.
‹ Previous 21 - 30 of 30
Showing 20 items per page