reading

what i have been reading recently.

papers (click to get paper)

• // state space models for language modelling


• // Attention is all you need (done)


• // neural machine translation by jointly learning to align and translate (done)


• // fine tuning methods:
  • // LoRA (done)
  
  
  • // DoRA (reading)
  
  
  • // ReFT (next!)
  
  


• // classic ViT paper


• // query rewriting for retrieval-augmented large language models

articles / blogs

• // lillian weng's blog posts on what are diffusion models? and diffusion models for video generation


• // [@naklecha on X]'s post on latent consistency models


• // watermarking LLMs : link

ik that this is a pretty long list but i am confident and will make it through!