Zolver VS promptbench

Compare Zolver vs promptbench and see what are their differences.

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Zolver promptbench
2 4
143 2,061
- 7.1%
0.0 9.2
almost 2 years ago 4 days ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Zolver

Posts with mentions or reviews of Zolver. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-26.

promptbench

Posts with mentions or reviews of promptbench. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-13.
  • Show HN: Times faster LLM evaluation with Bayesian optimization
    6 projects | news.ycombinator.com | 13 Feb 2024
    Fair question.

    Evaluate refers to the phase after training to check if the training is good.

    Usually the flow goes training -> evaluation -> deployment (what you called inference). This project is aimed for evaluation. Evaluation can be slow (might even be slower than training if you're finetuning on a small domain specific subset)!

    So there are [quite](https://github.com/microsoft/promptbench) [a](https://github.com/confident-ai/deepeval) [few](https://github.com/openai/evals) [frameworks](https://github.com/EleutherAI/lm-evaluation-harness) working on evaluation, however, all of them are quite slow, because LLM are slow if you don't have infinite money. [This](https://github.com/open-compass/opencompass) one tries to speed up by parallelizing on multiple computers, but none of them takes advantage of the fact that many evaluation queries might be similar and all try to evaluate on all given queries. And that's where this project might come in handy.

  • FLaNK Weekly 31 December 2023
    25 projects | dev.to | 31 Dec 2023
  • FLaNK 25 December 2023
    33 projects | dev.to | 26 Dec 2023
  • Promptbench: A Unified Library for Evaluating and Understanding LLMs
    1 project | news.ycombinator.com | 25 Dec 2023

What are some alternatives?

When comparing Zolver and promptbench you can also consider the following projects:

LLMLingua - To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.

awesome-gpt-prompt-engineering - A curated list of awesome resources, tools, and other shiny things for GPT prompt engineering.

tbmq - Open-source, scalable, and fault-tolerant MQTT broker able to handle 4M+ concurrent client connections, supporting at least 3M messages per second throughput per single cluster node with low latency delivery. The cluster mode supports more than 100M concurrently connected clients.

osgameclones - Open Source Clones of Popular Games

huh - Build terminal forms and prompts 🤷🏻‍♀️

opencompass - OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.

JavaOnRaspberryPi - Sources and scripts for the book "Getting started with Java on the Raspberry Pi"

FLiPStackWeekly - FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...

Stirling-PDF - #1 Locally hosted web application that allows you to perform various operations on PDF files

tbls - tbls is a CI-Friendly tool for document a database, written in Go.

ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

pgmq - A lightweight message queue. Like AWS SQS and RSMQ but on Postgres.