Difference between revisions of "NVIDIA"
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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 |
| − | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | + | |
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[http://www.youtube.com/results?search_query=NVIDIA+developer Youtube search...] | [http://www.youtube.com/results?search_query=NVIDIA+developer Youtube search...] | ||
[http://www.google.com/search?q=NVIDIA+developer+deep+machine+learning+ML ...Google search] | [http://www.google.com/search?q=NVIDIA+developer+deep+machine+learning+ML ...Google search] | ||
| − | * [[Platforms: Machine Learning as a Service (MLaaS)]] | + | * [http://www.youtube.com/nvidia NVIDIA YouTube Channel] |
| + | * [http://blogs.nvidia.com/ai-podcast/ The AI Podcast | Nvidia] | ||
| + | * [[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]] | ||
* [http://developer.nvidia.com/ NVIDIA Developer] | * [http://developer.nvidia.com/ NVIDIA Developer] | ||
* [[NGC - NVIDIA GPU Cloud]] | * [[NGC - NVIDIA GPU Cloud]] | ||
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* [http://on-demand-gtc.gputechconf.com/gtcnew/on-demand-gtc.php?searchByKeyword=&searchItems=&sessionTopic=&sessionEvent=2&sessionYear=2018&sessionFormat=&submit=&select= GTC Sessions] | * [http://on-demand-gtc.gputechconf.com/gtcnew/on-demand-gtc.php?searchByKeyword=&searchItems=&sessionTopic=&sessionEvent=2&sessionYear=2018&sessionFormat=&submit=&select= GTC Sessions] | ||
* [[NVIDIA Jetson Nano]] | * [[NVIDIA Jetson Nano]] | ||
| + | * [[ChatGPT#NVIDIA A100 HPC (High-Performance Computing) Accelerator|NVIDIA A100 HPC (High-Performance Computing) Accelerator for ChatGPT]] | ||
| + | * [http://developer.nvidia.com/transfer-learning-toolkit Transfer Learning Toolkit] a python-based toolkit that enables developers to take advantage of NVIDIA’s pre-trained models and offers capabilities for developers to adapt popular network architectures and backbones to their own data, train, fine tune, prune and export for deployment. The simple interface and abstraction improves the efficiency of the deep learning training workflow. | ||
* [http://www.nvidia.com/en-us/research/ai-playground/ NVIDIA Playground] | * [http://www.nvidia.com/en-us/research/ai-playground/ NVIDIA Playground] | ||
* [[Processing Units - CPU, GPU, APU, TPU, VPU, FPGA, QPU]] | * [[Processing Units - CPU, GPU, APU, TPU, VPU, FPGA, QPU]] | ||
* [http://www.nvidia.com/en-us/gtc/ NVIDIA GTC Conferences] | * [http://www.nvidia.com/en-us/gtc/ NVIDIA GTC Conferences] | ||
* [http://www.youtube.com/user/NVIDIADeveloper/videos NVIDIA YouTube Videos] | * [http://www.youtube.com/user/NVIDIADeveloper/videos NVIDIA YouTube Videos] | ||
| + | * [[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]] | ||
| + | * [[Omniverse | NVIDIA Omniverse™]] a scalable, multi-GPU real-time reference development platform for 3D simulation and design collaboration, and based on Pixar's Universal Scene Description and NVIDIA RTX™ technology. | ||
| + | * [https://www.nvidia.com/en-us/studio/canvas/ NVIDIA Canvas] | ||
| + | |||
| + | <youtube>UnPaTb0__JU</youtube> | ||
<youtube>G3QA3ZzD4oc</youtube> | <youtube>G3QA3ZzD4oc</youtube> | ||
<youtube>r4KG3dehF48</youtube> | <youtube>r4KG3dehF48</youtube> | ||
<youtube>u4JwORDIdZU</youtube> | <youtube>u4JwORDIdZU</youtube> | ||
<youtube>1cHx1baKqq0</youtube> | <youtube>1cHx1baKqq0</youtube> | ||
| + | <youtube>Hdew1P1nXBc</youtube> | ||
| + | |||
| + | http://news.developer.nvidia.com/wp-content/uploads/2018/11/slide-1-YZ-r7-768x462.jpg | ||
Latest revision as of 20:44, 26 April 2024
Youtube search... ...Google search
- NVIDIA YouTube Channel
- The AI Podcast | Nvidia
- Development ... Notebooks ... AI Pair Programming ... Codeless ... Hugging Face ... AIOps/MLOps ... AIaaS/MLaaS
- NVIDIA Developer
- NGC - NVIDIA GPU Cloud
- RAPIDS
- NVIDIA Deep Learning Institute
- GTC Sessions
- NVIDIA Jetson Nano
- NVIDIA A100 HPC (High-Performance Computing) Accelerator for ChatGPT
- Transfer Learning Toolkit a python-based toolkit that enables developers to take advantage of NVIDIA’s pre-trained models and offers capabilities for developers to adapt popular network architectures and backbones to their own data, train, fine tune, prune and export for deployment. The simple interface and abstraction improves the efficiency of the deep learning training workflow.
- NVIDIA Playground
- Processing Units - CPU, GPU, APU, TPU, VPU, FPGA, QPU
- NVIDIA GTC Conferences
- NVIDIA YouTube Videos
- Analytics ... Visualization ... Graphical Tools ... Diagrams & Business Analysis ... Requirements ... Loop ... Bayes ... Network Pattern
- NVIDIA Omniverse™ a scalable, multi-GPU real-time reference development platform for 3D simulation and design collaboration, and based on Pixar's Universal Scene Description and NVIDIA RTX™ technology.
- NVIDIA Canvas
