Difference between revisions of "AI Marketplace & Toolkit/Model Interoperability"

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== SingularityNET ==
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{{#seo:
[http://www.youtube.com/results?search_query=OpenCog+architecture YouTube search...]
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|title=PRIMO.ai
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|titlemode=append
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|keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Facebook, Meta, Nvidia, Microsoft, Azure, Amazon, AWS
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|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
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}}
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[https://www.youtube.com/results?search_query=AI+Marketplace+Toolkit+Model+deep+machine+learning+ML YouTube search...]
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[https://www.google.com/search?q=AI+Marketplace+Toolkit+Model+deep+machine+learning+ML ...Google search]
  
* [http://singularityhub.com/2018/07/22/from-here-to-human-level-artificial-general-intelligence-in-four-not-all-that-simple-steps/ From Here to Human-Level Artificial General Intelligence in Four (Not All That) Simple Steps | Ben Goertzel]
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* [[Building Your Environment]]
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* [[Development]] ... [[Notebooks]] ... [[Development#AI Pair Programming Tools|AI Pair Programming]] ... [[Codeless Options, Code Generators, Drag n' Drop|Codeless]] ... [[Hugging Face]] ... [[Algorithm Administration#AIOps/MLOps|AIOps/MLOps]] ... [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)|AIaaS/MLaaS]]
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* [[Service Capabilities]]
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* [[Algorithm Administration#Automated Learning|Automated Learning]]
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* [[Google]] [[AI Hub]]
  
<youtube>zb8Nz26rzKU</youtube>
 
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== OpenCog AtomSpace ==
 
[http://www.youtube.com/results?search_query=OpenCog+AtomSpace+architecture YouTube search...]
 
 
* [http://www.techemergence.com/the-future-of-artificial-intelligence-according-to-ben-goertzel/ The Future of Artificial Intelligence According to Ben Goertzel | Ben Goertzel]
 
* [http://blog.singularitynet.io/singularitynet-integrates-opencog-s-atomspace-hypergraph-to-accelerate-intelligence-development-1301e736766d Integrating OpenCog‘s Atomspace Hypergraph to Accelerate Intelligence Development | Anton Kolonin]
 
 
A methodological framework: develop a representation of a general class of architectures within which different architectures can be compared and contrasted. This should facilitate
 
communication and integration across sub-fields of and approaches to AI, as well providing a framework for evaluating alternative architectures.  [http://hrilab.tufts.edu/publications/slomanscheutz02ukci.pdf A Framework for Comparing Agent Architectures | Sloman, A. and Scheutz, M.]
 
 
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== Aigents ==
 
== Aigents ==
[http://www.youtube.com/results?search_query=Aigents+architecture YouTube search...]
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[https://www.youtube.com/results?search_query=Aigents+architecture YouTube search...]
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[https://www.google.com/search?q=Aigents+deep+machine+learning+ML ...Google search]
  
 
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== Open Neural Network Exchange (ONNX) Format ==
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[https://www.youtube.com/results?search_query=Open+Neural+Network+Exchange+ONNX+architecture+AI+machine+learning+model+toolkit YouTube search...]
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[https://www.google.com/search?q=Open+Neural+Network+Exchange+ONNX+deep+machine+learning+ML ...Google search]
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* [https://onnx.ai/ ONNX.ai] - a community project created by [[Meta|Facebook]] and [[Microsoft]].
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Open ecosystem to address the interoperability among neural network toolkits challenge, [[Amazon]] AWS, [[Meta|Facebook]] and [[Microsoft]] have collaborated to build Open Neural Network Exchange (ONNX), which makes it possible to reuse trained neural network models across multiple frameworks.
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Latest revision as of 20:42, 26 April 2024

YouTube search... ...Google search


Aigents

YouTube search... ...Google search

Open Neural Network Exchange (ONNX) Format

YouTube search... ...Google search

Open ecosystem to address the interoperability among neural network toolkits challenge, Amazon AWS, Facebook and Microsoft have collaborated to build Open Neural Network Exchange (ONNX), which makes it possible to reuse trained neural network models across multiple frameworks.