No data? No problem... Learning how to fine-tune sentence transformers with nothing more than unstructured text! 👀 https://t.co/n8fNfArfUJ Honestly blown away with how cool this is, credit to @Nils_Reimers and co #NLProc #100DaysOfMLCode

If you've always wondered how Transformers work but know nothing about machine learning, I wrote this peek behind the curtain for you. (Actually I wrote it for me, but you might find it useful.) Here's the beta release. https://t.co/VaFt8md9hJ

⁉️Latest @Pinecone_io article on open domain question-answering: https://t.co/Vahnbkzw62 Exploring both extractive and abstractive (generative) pipelines using @huggingface and sentence-transformers (@Nils_Reimers) #NLProc #100DaysOfMLCode #VectorDatabase #SemanticSearch

Transformers: State-of-the-art N̶L̶P̶ ...❌ Transformers: State-of-the-art Machine Learning ...✅ ht

Benchmarking Detection Transfer Learning with Vision Transformers abs: https://t.co/2qo2GVjZ7N masking-based unsupervised learning methods may, for the first time, provide convincing transfer learning improvements on COCO, increasing APbox up to 4% (absolute)