AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
3min chapter
Nils Reimers: Sentence Transformers, Search, Future of NLP | Learning from Machine Learning #3
Learning from Machine Learning
Train Sentence Encoder
The original sentence transformers model was just trained like small dataset from NLI. So that's what the first version of sentence transformers was trained on and sadly evaluated on. But now it was trained on like a whole bunch of text, like really ugly, noisy social media text full of hashtags and emojis. Now the model understands like emojis and hashtags and knows, okay, what's the similarity between hashtags and relationship in hashtags. Right. And this gives you a much, much better model,. sadly, sometimes if people use it on the old benchmarks on the nicely cleanly written text, doesn't perform as well as models overfitted on these settings.
00:00
Transcript
Episode notes
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any
moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share
& Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode