🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

Train Llama 2 & 3 on the SQuAD v2 task as an example of how to specialize a generalized (foundation) model.

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A Minimalist Squad Mortar Calculator

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This is a SquadJS Plugin that will allow you to send Player Statistic Data to My Squad Stats.

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This project uses BERT to build a QA system fine-tuned on the SQuAD dataset, improving the accuracy and efficiency of question-answering tasks. We address challenges in contextual understanding and ambiguity handling to enhance user experience and system performance.

JGLUE: Japanese General Language Understanding Evaluation for huggingface datasets

The prime repository for state-of-the-art Multilingual Question Answering research and development.

Timer to keep track of vehicle respawn timers in Squad

GPT2 training on squad dataset

Dockerfile for automated build of a Squad gameserver for Arm64 systems: https://hub.docker.com/r/yoooby/squad-arm64

squad mod

Code behind the website squadtools.tempusowl.com

Haskell game engine library for roguelike dungeon crawlers; please offer feedback, e.g., after trying out the sample game with the web frontend at