AWS - LargeLanguageModels 合集

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AWS - LargeLanguageModels 合集

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Date

Created

Apr 13, 2026 07:16 AM

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Transformer

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Last edited time

Aug 4, 2025 09:52 AM

LLM powered application architectures

Aug 4, 2025 07:02 AM

Reasoning and Acting（ReAct）

PAL

ReAct

Apr 13, 2026 07:29 AM

Program-aided language models PAL

PAL

Aug 1, 2025 07:30 AM

Chain of Thought Prompting

Aug 1, 2025 06:10 AM

Retrieval Augmented Generation RAG

RAG

Aug 1, 2025 04:12 AM

Model optimizations to improve application performance

PTQ

Distillation

Pruning

Jul 31, 2025 03:35 AM

Optimize LLMs and build generative AI applications

Aug 4, 2025 06:19 AM

Scaling human feedback（RLAIF）

RLHF

RLAIF

Jul 30, 2025 08:04 AM

RLHF

Jul 30, 2025 03:45 AM

Proximal Policy Optimization PPO

PPO

Apr 13, 2026 07:27 AM

Fine-tuning with RLHF

Jul 29, 2025 03:18 PM

Training the reward model

Jul 29, 2025 02:52 AM

Obtaining feedback from humans

Aug 5, 2025 10:19 AM

Reinforcement Learning from Human Feedback (RLHF)

Jul 31, 2025 09:32 AM

Jul 23, 2025 08:48 AM

LoRA Low-rank Adaptation

LoRA

Apr 13, 2026 07:29 AM

Parameter efficient fine-tuning (PEFT)

Jul 23, 2025 08:55 AM

Jul 18, 2025 03:50 AM

Model evaluation

Jul 17, 2025 11:41 AM

Multi-task instruction fine-tuning

Jul 17, 2025 06:31 AM

Fine-tuning on a single task

Jul 16, 2025 12:00 PM

Fine-tuning an LLM with instruction prompts

Jul 16, 2025 09:08 AM

Pre-training for domain adaptation

Jul 15, 2025 09:01 AM

Scaling laws and compute-optimal models

Jul 15, 2025 07:04 AM

Efficient multi-GPU compute strategies

Jul 14, 2025 09:06 AM

Computational challenges of training LLMs

QAT

Aug 5, 2025 02:42 AM

Pre-training large language models

Jul 15, 2025 09:25 AM

Generative AI project lifecycle

Jul 31, 2025 06:18 AM

Generative configuration parameters for inference

Jul 10, 2025 02:13 AM

Prompt enginerring

Jul 9, 2025 11:24 AM