ReALM: Reference Resolution with Language Modelling
LISA: A Simple But Powerful Way to Fine-Tune LLM Efficiently
QMoE: Bringing Trillion-Parameter Models to Commodity Hardware
AnimateDiff: Paper Explained
TaCo: Enhancing Cross-Lingual Transfer for Low-Resource Languages in LLM
RAFT: Finetuning LLM for Domain-Specific Knowledge
Paper – GPT-NeoX
Paper – UniLMv2
Paper – UniLM
Paper – Zephyr
Paper – CodeFusion
Paper – LLemma
Paper – GPT4V
Paper – GPT4
Paper – GPT3
Paper – GPT2
Paper – Mistral
Paper – Code LLama
Paper – Instruction Backtranslation
Paper – Falcon
Paper – LIMA
Paper – Alpaca
Paper – LLama
Mamba Explained
Paper – Gemini 1.5 Pro
