LLaVA-Phi: Related Work to Get You Caught Up | HackerNoon
Advancements in LLMs enhance vision-language models' capabilities, improving question-answering and visual understanding despite deployment challenges due to high computational demands.
QCon SF 2024 - Scaling Large Language Model Serving Infrastructure at Meta
Scaling LLM serving infrastructure requires deep collaboration with model developers and optimal hardware utilization to manage compute demands effectively.
LLaVA-Phi: Related Work to Get You Caught Up | HackerNoon
Advancements in LLMs enhance vision-language models' capabilities, improving question-answering and visual understanding despite deployment challenges due to high computational demands.
QCon SF 2024 - Scaling Large Language Model Serving Infrastructure at Meta
Scaling LLM serving infrastructure requires deep collaboration with model developers and optimal hardware utilization to manage compute demands effectively.