I've read a ton of research papers this year. And to conclude this eventful year in AI, I've compiled a selection of 10 noteworthy papers from 2023 that I am discussing in my new article: https://t.co/FfYERa23g0
To get a sneak peak, I'm covering:
- insights into LLM training runs
- new openly available LLMs
- efficient finetuning methods
- improving "small" LLMs
- pretraining on domain-specific data
- new techniques to align LLMs with human preferences
- enhancing LLMs with high-quality data and instruction sets
- ConvNet vs vision transformer comparisons
- recent developments in image segmentation
- video synthesis with latent diffusion models
I'm wishing you all a great start to 2024!