model-configuration

Master the essential steps of pretraining large language models (LLMs). Learn to create high-quality datasets, configure model architectures, execute training runs, and assess model performance for efficient and effective LLM pretraining.

ACCESS-OM3 MOM6-CICE6 configurations with optional WW3 and Wombat. All the configurations use the Payu and pre-built executables available on NCI.. Admins are @anton-seaice @chrisb13 @dougiesquire @ezhilsabareesh8 @minghangli-uni

DeepSeek Herness plugin. dsh插件，支持在创建自定义模型时手动选择模型能力，比如模型是否支持图片输入等。DeepSeek Herness plugin. dsh插件，支持在创建自定义模型时手动选择模型能力，比如模型是否支持图片输入等。DeepSeek Herness plugin. dsh插件，支持在创建自定义模型时手动选择模型能力，比如模型是否支持图片输入等。The DSH plugin allows users to manually configure model capabilities when creating a custom model, such as image input support.

ACCESS-OM3 MOM6-CICE6-WW3 configurations

Windows skill for ChatGPT Work Local & Codex Desktop/Local: configure context window token limits, effective percentages and auto-compaction thresholds. Global/per-model settings, preview, backup and restore. No Python setup. 本地上下文窗口调整技能：自定义Token上限、有效比例、自动压缩阈值，支持全部或指定模型、预览、备份恢复；无需安装Python。

This repository contains the minimal working example (MWE) discussed in the following AIMMS How-To article:

Alyssa is an AI-powered Amazon Behavioral Interview coach that helps you craft, refine, and practice compelling STAR stories aligned with Amazon's 16 Leadership Principles.

This is advance machine learning operation pipelines integrated with MLflow to monitor artifacts and metrices. Deployed in AWS via CICD GitHub Actions.