Difference between revisions of "Building Your Environment"
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| − | |keywords=artificial, intelligence, machine, learning, models | + | |keywords=ChatGPT, artificial, intelligence, machine, learning, GPT-4, GPT-5, NLP, NLG, NLC, NLU, models, data, singularity, moonshot, Sentience, AGI, Emergence, Moonshot, Explainable, TensorFlow, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Hugging Face, OpenAI, Tensorflow, OpenAI, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Meta, LLM, metaverse, assistants, agents, digital twin, IoT, Transhumanism, Immersive Reality, Generative AI, Conversational AI, Perplexity, Bing, You, Bard, Ernie, prompt Engineering LangChain, Video/Image, Vision, End-to-End Speech, Synthesize Speech, Speech Recognition, Stanford, MIT |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools |
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[https://www.youtube.com/results?search_query=AI+Environment+machine+learning+frameworks+compared Youtube search...] | [https://www.youtube.com/results?search_query=AI+Environment+machine+learning+frameworks+compared Youtube search...] | ||
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* [https://www.dataversity.net/ai-platforms-next-step-artificial-intelligence/# AI Platforms: The Next Step in Artificial Intelligence | Keith D. Foote] | * [https://www.dataversity.net/ai-platforms-next-step-artificial-intelligence/# AI Platforms: The Next Step in Artificial Intelligence | Keith D. Foote] | ||
* [https://www.ipi-singapore.org/technology-offers/artificial-intelligence-platform-machine-learning-modelling-and-cloud Artificial Intelligence Platform, Machine Learning Modelling and Cloud | IPI] | * [https://www.ipi-singapore.org/technology-offers/artificial-intelligence-platform-machine-learning-modelling-and-cloud Artificial Intelligence Platform, Machine Learning Modelling and Cloud | IPI] | ||
| − | * [[Algorithm Administration#AIOps/MLOps|AIOps/MLOps]] | + | * [[Development]] ... [[Notebooks]] ... [[Development#AI Pair Programming Tools|AI Pair Programming]] ... [[Codeless Options, Code Generators, Drag n' Drop|Codeless, Generators, Drag n' Drop]] ... [[Algorithm Administration#AIOps/MLOps|AIOps/MLOps]] ... [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)|AIaaS/MLaaS]] |
* [[Containers; Docker, Kubernetes & Microservices]] | * [[Containers; Docker, Kubernetes & Microservices]] | ||
* [[Kubeflow Pipelines]] | * [[Kubeflow Pipelines]] | ||
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* [[Algorithm Administration#Automated Learning|Automated Learning]] | * [[Algorithm Administration#Automated Learning|Automated Learning]] | ||
* [[AI Marketplace & Toolkit/Model Interoperability]] | * [[AI Marketplace & Toolkit/Model Interoperability]] | ||
| − | |||
* [[Serverless]] | * [[Serverless]] | ||
* [https://blog.pocketcluster.io/ Pocketcluster - Weekly Machine Learning Opensource Roundup] | * [https://blog.pocketcluster.io/ Pocketcluster - Weekly Machine Learning Opensource Roundup] | ||
Revision as of 18:26, 3 July 2023
Youtube search... ...Google search
- Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI, IBM Watson | Bradford Cross
- AI Platforms: The Next Step in Artificial Intelligence | Keith D. Foote
- Artificial Intelligence Platform, Machine Learning Modelling and Cloud | IPI
- Development ... Notebooks ... AI Pair Programming ... Codeless, Generators, Drag n' Drop ... AIOps/MLOps ... AIaaS/MLaaS
- Containers; Docker, Kubernetes & Microservices
- Kubeflow Pipelines
- Service Capabilities
- Automated Learning
- AI Marketplace & Toolkit/Model Interoperability
- Serverless
- Pocketcluster - Weekly Machine Learning Opensource Roundup
- Environments:
- Local Machine, Anaconda, TensorFlow, Graphics card GPU
- Laptops for Machine Learning
- Google AIY Projects Program
- The Full Stack Data Scientist: Myth, Unicorn, or New Normal? | Nisha Talagala - Forbes
The capability to transform data into actionable insight is the key to a competitive advantage for any organization. ... While many ML algorithms have been around for years, the ability to apply complex mathematical calculations to data, and process them more quickly than ever before, is a recent development.Preparing and Architecting for Machine Learning | Carlton E. Sapp
My Own AI Server
- Deep Learning with Tensorflow and INTEL - A Hardware and Software Guide for Beginners | digit
- Why building your own Deep Learning Computer is 10x cheaper than AWS | Jeff Chen
- Build and Setup Your Own Deep Learning Server From Scratch | Kitty Shum
- Machine intelligence: Build your own vs. as-a-service
Using My Laptop
YouTube ... Quora ... Google search ... Google News ... Bing News
Meta
Youtube search... ...Google search
