Our basic research question is: How can people and computers be connected so that-collectively-they act more intelligently than any individuals, groups, or computers have ever done before?'
"n this notebook, we will employ the Elo rating system to evaluate the performance of large language models (LLMs). The analysis is based on the pairwise battle results we collected from https://arena.lmsys.org between April 24 and July 17, 2023. This crowdsourcing way of data collection represents some use cases of LLMs in the wild. Below, we present the calculation procedure along with some basic analyses.
To view the latest leaderboard, see https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard."
Incoma is a new free software debate platform whose aim is to facilitate conversations between thousands of people simultaneously, to allow the construction of a real global collective intelligence.
MIT Press CISnet brings together many of the MIT Press?s recent and classic titles in computer and information science in a fully searchable online library. Subscribers have access to a growing collection of MIT Press books on topics including programming, artificial intelligence, machine learning, human computer interaction, databases, digital libraries, networking, and robotics. CISnet is accessible from any computer with an Internet connection and from Web-enabled handhelds including the iPhone.
"automatic exploratory data analysis
Making sense of data is one of the great challenges of the information age we live in. While it is becoming easier to collect and store all kinds of data, from personal medical data, to scientific data, to public data, and commercial data, there are relatively few people trained in the statistical and machine learning methods required to test hypotheses, make predictions, and otherwise create interpretable knowledge from this data. The Automatic Statistician project aims to build an artificial intelligence for data science, helping people make sense of their data."
"Collection of Interactive Machine Learning Examples
We call them "seeds". Each seed is a machine learning example you can start playing with. Explore, learn and grow them into whatever you like. Powered by CoLab"
"A unified platform for training and evaluating dialog models across many tasks. Multitask training over many datasets at once. Supports dialog models in PyTorch, Tensorflow, Theano, Torch, and other frameworks.
Seamless integration of Amazon Mechanical Turk for data collection, training and human evaluation."
"DGB.LOL offers a collection of completely free tools mostly for image manipulation by utilizing the power of AI. All of our tools are completely free, with OpenAI API key you can use some of our specialized GPT's for image creation or image tagging."