1 रिपॉजिटरी
Awesome GitHub RepositoriesAsync Request Throughput Optimizers
Sending multiple concurrent requests to increase the rate of text generation or training throughput.
Distinct from Training Throughput Optimization: Distinct from Training Throughput Optimization: focuses on async request concurrency for inference and training, not batch size selection.
Explore 1 awesome GitHub repository matching artificial intelligence & ml · Async Request Throughput Optimizers. Refine with filters or upvote what's useful.
Awesome Async Request Throughput Optimizers GitHub Repositories
AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
- thinking-machines-lab/tinker-cookbook
thinking-machines-lab/tinker-cookbook
2,856GitHub पर देखेंTinker Cookbook is an open-source framework for fine-tuning large language models, supporting supervised learning, reinforcement learning, and parameter-efficient techniques like LoRA adapters. It provides a complete pipeline for aligning models with human preferences through multi-stage RLHF workflows, from supervised fine-tuning through preference optimization to reinforcement learning. The framework distinguishes itself through recipe-based training orchestration, where fine-tuning workflows are defined as composable recipe files that chain data loading, model configuration, and training l
Optimizes throughput by sending multiple concurrent generation requests asynchronously.
Python
