Code for the paper "Evaluating Large Language Models Trained on Code"

A collection of benchmarks and datasets for evaluating LLM.

Modelli dati semantici ISPRA (ontologie, vocabolari controllati, schemi)

Code for TextMagnet web app

Repo for the Belebele dataset, a massively multilingual reading comprehension dataset.

The Persistence of Vision Raytracer: http://www.povray.org/

Keras Callback to Automatically Adjust the learning rate when it stops improving

Textual analytics experiments to help extract value from unstructured text data

Performance monitoring tools for Linux

Inference Llama 2 in Scala with AVX2 kernels in C (A port of llama2.c from Andrej Karpathy)

JS tokenizer for LLaMA 1 and 2

tiktoken is a fast BPE tokeniser for use with OpenAI's models.

A holistic way of understanding how LLaMA and its components run in practice, with code and detailed documentation.

Cambrian-1 is a family of multimodal LLMs with a vision-centric design.

speedup for lm-evaluation-harness; support tensor-parallel inference and data-parallel inference; support gptq, bitsandbytes, peft and exllamav2.

Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

Fast and flexible reference benchmarks

The LLM Evaluation Framework

Maintenance Information Extraction (MaintIE)

FUSE-based file system backed by Amazon S3

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

Open, Multi-modal Catalog for Data & AI

Spark SQL extensions for lakeFS

How to evaluate the Quality of your Data with Great Expectations and Spark.