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freshllms/freshqa

0
View on GitHub↗
0 stars·0 forks·2 views

Freshqa

Features

  • Evaluation Frameworks - Framework for refreshing language models with search engine augmentation.

Star history

Star history chart for freshllms/freshqaStar history chart for freshllms/freshqa

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Open-source alternatives to Freshqa

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See all 30 alternatives to Freshqa→

Frequently asked questions

What are the main features of freshllms/freshqa?

The main features of freshllms/freshqa are: Evaluation Frameworks.

What are some open-source alternatives to freshllms/freshqa?

Open-source alternatives to freshllms/freshqa include: comet-ml/opik — Opik is an observability and evaluation platform designed for generative AI applications and agentic workflows. It… confident-ai/deepeval — Deepeval is a framework for testing and evaluating large language model applications. It provides a suite of tools for… cvs-health/uqlm — UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection. declare-lab/instruct-eval — This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on… eleutherai/lm-evaluation-harness — This project is a standardized framework for benchmarking large language models across a wide range of academic and… allenai/olmo-eval — This project provides a unified workbench for evaluating language models throughout the model development loop.