Saturday, April 29, 2023

California poppy (CA state flower): #WUaSLand in California? In federally updating #CaFTB PSWD for sgkmacWUaSCorp's https://www.ftb.ca.gov/myftb/index.asp @WUaSPress ... * * * How w #ArtificialIntelligence for Medical Devices too & w #WUaSKorea to transpose (& create) fr 2D to 3D & #NDimensionally 2 million molecules in VR in #RealisticVirtualEarthForSTEM? * * Learned in 4/25/23 #StanfordDrugDiscoverySymposium2023 & re a #3D #Ndimensional #RealisticVirtualEarthForSTEM that #LawrenceLivermoreNationalLaboratory in Berkeley has library of 2 million molecules' simulations' but in #2D * * * #BuildingLargeLanguageModels - 4 steps to training #LargeLanguageModels . . . . Like #WUaSLLMs ?: ... #GoogleLaMDA #WUaSLanguages ~



#WUaSLand in California? In federally updating #CaFTB PSWD for sgkmacWUaSCorp's 

#WUaSLand in CA? In federally updating #CaFTB PSWD for sgkmacWUaSCorp's 
https://www.ftb.ca.gov/myftb/index.asp @WUaSPress on F 4/28/23 Did Wiki @WorldUnivAndSch get land & for #AcademicMedicalCenter w #WarmWaterCure & #PhysicalDigital #WUaSLongevityGenetics' Inst w ~10 species in #Canyon94516?












Posting 

Harbin warm pool pic 







#

#WUaSLand in CA? In federally updating CA FTB PSWD for sgkmacWUaSCorp's 
https://www.ftb.ca.gov/myftb/index.asp @WUaSPress on F 4/28/23 Did Wiki @WorldUnivAndSch get land & for #AcademicMedicalCenter w #WarmWaterCure & #PhysicalDigital #WUaSLongevityGenetics' Inst w ~10 species in #Canyon94516? 












 

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How w #ArtificialIntelligence for Medical Devices too & w #WUaSKorea to transpose (& create) fr 2D to 3D & #NDimensionally 2 million molecules in VR in #RealisticVirtualEarthForSTEM? 


How w #ArtificialIntelligence for Medical Devices too & w #WUaSKorea to transpose (& create) fr 2D to 3D & #NDimensionally 2 million molecules in VR in #RealisticVirtualEarthForSTEM? 
Learned in 4/25/23 #StanfordDrugDiscoverySymposium2023 that #LLNL #Berkeley has 2M #VRmolecules














Retweeting -

Today, FDA signed its first medical product agreement with the Republic of Korea’s Ministry of Food and Drug Safety (MFDS). The Memorandum of Cooperation (MOC) is to facilitate a joint workshop for global regulators on using artificial intelligence in medical product development.









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Learned in 4/25/23 #StanfordDrugDiscoverySymposium2023 & re a #3D #Ndimensional #RealisticVirtualEarthForSTEM that #LawrenceLivermoreNationalLaboratory in Berkeley has library of 2 million molecules' simulations' but in #2D

Learned in 4/25/23 #StanfordDrugDiscoverySymposium2023 & re a #3D #Ndimensional #RealisticVirtualEarthForSTEM that #LawrenceLivermoreNationalLaboratory in Berkeley has library of 2 million molecules' simulations' but in #2D atoms: https://www.llnl.gov/news/llnl-team%E2%80%99s-code-improves-molecular-dynamic-performance-orders-magnitude-among-gordon-bell #FilmTo3DApps #WUaSplay?
https://twitter.com/scottmacleod/status/1651226134015627267





 
 


--

Scottish Small Piping album #2 - Honey Piobaireachd (2022)


- Scott GK MacLeod  
Founder, President, CEO & Professor
CC-4 licensed MIT OCW-centric. Wiki, 
World University & School (WUaS) 
- PO Box 442, Canyon, CA 94516 
- 210 East End Avenue, Pittsburgh, PA 15221
1) non-profit World University and School - http://worlduniversityandschool.org  
2) for profit general stock company WUaS Corporation in CA - http://worlduniversityandschool.org/AcademicPress.html

(m) 412 478 0116 - sgkmacleod@gmail.com 

World Univ & Sch Innovation Research -  scottmacleod.com 






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#BuildingLargeLanguageModels  - 4 steps to training #LargeLanguageModels . . . . Like #WUaSLLMs ?:  ... #GoogleLaMDA #WUaSLanguages ~


#BuildingLargeLanguageModels - 4 steps to training #LargeLanguageModels:
Data collection & preprocessing. 
Model selection and configuration.
Model training. 
Evaluation and fine-tuning.
Like #WUaSLLMs ?:















#


There are four steps to training large language models:
  1. Data collection and preprocessing. The first step is to gather the training data set, which is the resource that the LLM will be trained on. ...
  2. Model selection and configuration. ...
  3. Model training. ...
  4. Evaluation and fine-tuning.
Feb 3, 2023



With ? 
LaMDA Google 137 billion parameters 



building a large language model




building a large language model with a wiki?
Like WUaS 


In multiple languages?

With Google Lamda


Train ULMFiT Language Model with Wikipedia
22 Nov 2018 by dzlab 





building a large language model with a Wikidata



Wikipedia and Wikidata 








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https://en.wikipedia.org/wiki/Eschscholzia_californica


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