To train your own good boy: https://t.co/RFMysGNrnP https://t.co/L2VE6rAMSK
— clem 🤗 (@ClementDelangue) 30 novembre 2022
To train your own good boy: https://
huggingface.co/spaces/ThomasS
imonini/Huggy
…
By
–
To train your own good boy: https://t.co/RFMysGNrnP https://t.co/L2VE6rAMSK
— clem 🤗 (@ClementDelangue) 30 novembre 2022
To train your own good boy: https://
huggingface.co/spaces/ThomasS
imonini/Huggy
…

By
–
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model Le Scao et al.: https://
arxiv.org/abs/2211.05100 #ArtificialIntelligence #DeepLearning #MachineLearning

By
–
We've won not one, but TWO @BigDATAwireNews Readers' Choice Awards A big "thank you" to everyone who voted for Databricks as a top #data and #AI vendor + #DeltaLake 2.0 as a data and AI open source project to watch https://
dbricks.co/3GUtP15
By
–
TorchMultimodal is a @PyTorch library for training state-of-the-art multimodal multi-task models at scale. You can learn more and get started here https://
bit.ly/3XalYlA 6/6
By
–
We announced some of our latest work in protein folding earlier this month. You can explore the open atlas of 617M predicted metagenomic protein structures here ➡️ https://t.co/DX2ysKsuFf
— AI at Meta (@AIatMeta) 29 novembre 2022
5/6https://t.co/NFe6Qy7I8h
We announced some of our latest work in protein folding earlier this month. You can explore the open atlas of 617M predicted metagenomic protein structures here https://
esmatlas.com 5/6
By
–
hah @sjwhitmore and i were discussing that! we ended up not implementing yet but should be an easy addition… made a ticket! https://
github.com/hwchase17/lang
chain/issues/224
… if you want to tackle could be a good first pr… otherwise i think we can probably get it in in the next few days!
By
–
LangChain version 0.0.24 Add chain name for better logging (@Hansenq)
Bump default @OpenAI model to `text-davinci-003` (!!!) (@shyamalanadkat)
PaL (Program-aided Language Models) Chain (!!!) with help from @aman_madaan et co. https://github.com/hwchase17/langchain
…
By
–
Hope to see everyone at #TMLS2022 today! Piero Molino, Predibase CEO & creator of open-source http://
Ludwig.ai is leading a talk on how #lowcode declarative ML systems enable teams to rapidly build, iterate and deploy state-of-the-art models. https://
pbase.ai/TMLS22

By
–
Infographic: Data Science – staying ahead. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #React #Serverless #DataScientist #Programming #Coding #100DaysofCode #DevOps #GitHub #SQL