Unite.AI

AUGUST 6, 2024

Large language models (LLMs) are increasingly utilized for complex tasks requiring multiple generation calls, advanced prompting techniques, control flow, and structured inputs/outputs. SGLang, a newly introduced system, aims to address this by providing efficient execution of complex language model programs.

LLM 130

LLM Inference Engine Auto-complete Python 130

Mlearning.ai

JULY 9, 2023

Source: Photo by Emiliano Vittoriosi on Unsplash Large language models (LLMs) are gaining popularity because of their capacity to produce text, translate between languages and produce various forms of creative content. Furthermore, these providers lack free tiers that can handle large language models (LLMs).

Large Language Models 52

Large Language Models LLM Python Auto-complete 52

AWS Machine Learning Blog

AUGUST 2, 2023

The fine-tuning process starts with preparing the images, including face cropping, background variation, and resizing for the model. Then we use Low-Rank Adaptation (LoRA), a parameter-efficient fine-tuning technique for large language models (LLMs), to fine-tune the model. The first is to define our model server.

Generative AI 89

Generative AI Computer Vision Auto-complete Inference Engine 89