DPL VS prompttools

Compare DPL vs prompttools and see what are their differences.

DPL

[NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks. (by releaunifreiburg)

prompttools

Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB). (by hegelai)
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DPL prompttools
1 4
12 2,468
- 6.7%
5.6 9.6
6 months ago 15 days ago
Python Python
Apache License 2.0 Apache License 2.0
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.

DPL

Posts with mentions or reviews of DPL. We have used some of these posts to build our list of alternatives and similar projects.

prompttools

Posts with mentions or reviews of prompttools. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing DPL and prompttools you can also consider the following projects:

SDGym - Benchmarking synthetic data generation methods.

spacy-llm - 🦙 Integrating LLMs into structured NLP pipelines

deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

cerche - Experimental search engine for conversational AI such as parl.ai, large language models such as OpenAI GPT3, and humans (maybe).

tapnet - Tracking Any Point (TAP)

graph-of-thoughts - Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"

autogluon - AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data [Moved to: https://github.com/autogluon/autogluon]

ChatGPT-API-Python - Building a Chatbot in Python using OpenAI's Official ChatGPT API

AgileRL - Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

FlexGen - Running large language models like OPT-175B/GPT-3 on a single GPU. Focusing on high-throughput generation. [Moved to: https://github.com/FMInference/FlexGen]

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

FlexGen - Running large language models on a single GPU for throughput-oriented scenarios.