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jarvisgpt's Introduction

JarvisGPT

Description

Jarvis GPT uses Gemma as a base model to try and improve reasoning in math and coding through algorithmic design.

Getting Started

None

Milestones

Architectures

  • Gemma
  • Griffin
  • Mamba

Benchmarks

  • HellaSwag
  • PIQA
  • SIQA
  • Boolq
  • Windogrande
  • CQA
  • OBQA
  • ARC-e
  • ARC-c
  • TriviaQA
  • NQ
  • HumanEval
  • MBPP
  • GSM8K
  • MATH
  • AGIEval
  • BBH

Potential Improvements

  • Rotary Positional Embedding
  • GLU Feed Forward Network
  • Soft Mixture-of-Experts
  • Top K Mixture-of-Experts
  • Mixture-of-Depths for Inference
  • Chain-of-Thought Fine Tuning
  • Tree-of-Thought Fine Tuning
  • Graph-of-Thought Fine Tuning
  • Retrieval Augmented Generation
  • Speculative Decoding
  • LoRA / QLoRA
  • Direct Preference Optimization
  • Self Improving LLM Math with MCTS
  • Megatron Scaling Laws
  • Model Sharding / Data Sharding
  • Recurrent Transformer Variants
  • Gecko Text Embedding Fine Tuning
  • Multimodal (Text, Image, Video, Audio)

and many more...

jarvisgpt's People

Contributors

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Stargazers

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Watchers

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