Efficient-LLMs-Survey VS GenerativeAIExamples

Compare Efficient-LLMs-Survey vs GenerativeAIExamples and see what are their differences.

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Efficient-LLMs-Survey GenerativeAIExamples
2 1
724 1,575
11.5% 17.3%
9.7 7.5
10 days ago 9 days ago
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.

Efficient-LLMs-Survey

Posts with mentions or reviews of Efficient-LLMs-Survey. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-18.

GenerativeAIExamples

Posts with mentions or reviews of GenerativeAIExamples. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-18.

What are some alternatives?

When comparing Efficient-LLMs-Survey and GenerativeAIExamples you can also consider the following projects:

llmware - Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.

Pearl - A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

MemGPT - Create LLM agents with long-term memory and custom tools 📚🦙

PowerInfer - High-speed Large Language Model Serving on PCs with Consumer-grade GPUs

java-iceberg-toolkit - Java implementation for performing operations on Apache Iceberg and Hive tables

LLMCompiler - [ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling

daedalOS - Desktop environment in the browser

FLaNK-OpenAi - Chat