LOGICGUIDE VS Sophia

Compare LOGICGUIDE vs Sophia and see what are their differences.

LOGICGUIDE

Plug in and Play implementation of "Certified Reasoning with Language Models" that elevates model reasoning by 40% (by kyegomez)

Sophia

Effortless plugin and play Optimizer to cut model training costs by 50%. New optimizer that is 2x faster than Adam on LLMs. (by kyegomez)
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LOGICGUIDE Sophia
2 3
15 378
- 0.3%
6.1 5.2
over 1 year ago 8 months 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.

LOGICGUIDE

Posts with mentions or reviews of LOGICGUIDE. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-17.

Sophia

Posts with mentions or reviews of Sophia. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-17.

What are some alternatives?

When comparing LOGICGUIDE and Sophia you can also consider the following projects:

ml-compiler-opt - Infrastructure for Machine Learning Guided Optimization (MLGO) in LLVM.

Otter - 🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

Dalle3 - An API for DALLE-3

Adan - Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

ToolEmu - [ICLR'24 Spotlight] A language model (LM)-based emulation framework for identifying the risks of LM agents with tool use

Adan-pytorch - Implementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch

certified-reasoning - Certified Reasoning with Language Models

Sophia - The official implementation of “Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training”

Perceiver - Implementation of Perceiver, General Perception with Iterative Attention in TensorFlow

tree-of-thoughts - Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%

zeta - Build high-performance AI models with modular building blocks

deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun

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