Discover and read the best of Twitter Threads about #nmt
Most recents (4)
50,000 AI models likely to be trained in 2023!
By: @rk_process9
#straightfromtheheart #translation #ai #data #artificialintelligence #multilingual #machinelearningmodels #chatgpt #llm #agile #nmt
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By: @rk_process9
#straightfromtheheart #translation #ai #data #artificialintelligence #multilingual #machinelearningmodels #chatgpt #llm #agile #nmt
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@rk_process9 #ChatGPT has sparked a global belief in #AI and its capabilities to replace humans. However, affluent individuals and businesses seek exclusive access to customized AI models rather than using the tools or #platforms that are publicly available.
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New Saas product for #ai #product #categorization based on #nlp analysis:
productcategorization.com/demo_dashboard/
productcategorization.com/demo_dashboard/
the service is using ML model trained on large number of annotated product texts. google product taxonomy was taken as the base taxonomy, which was then customised.
the #platform can be used both as dashboard or as #API #json endpoint. here is the url for IAB classification that you can try out: productcategorization.com/demo_dashboard…
it is trained on large data set of labelled categories from iab and google product taxonomy. it supports over 1000+ categories with high accuracy.
with integration of neural machine translation #NMT services, the website categorization can be done on websites in 100+ languages.
Our Molecular Transformer paper has been accepted to the ML for Molecules and Materials workshop at #NIPS2018. Looking forward!
Paper: bit.ly/2APtF8I
Platform: rxn.res.ibm.com
@IBMResearch @Cambridge_Uni
#RealTimeChem #Chem4Life #CompChem #RXNforChemistry
Paper: bit.ly/2APtF8I
Platform: rxn.res.ibm.com
@IBMResearch @Cambridge_Uni
#RealTimeChem #Chem4Life #CompChem #RXNforChemistry
Our chemical reaction prediction model was built using OpenNMT @harvardnlp and the #NMT transformer architecture by @ashVaswani et al..
Most of the work would not have been possible without @RDKit_org, @dr_greg_landrum, @nmsoftware and @dan2097. Many thanks!
