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airobotlab/KoChatGPT

0
View on GitHub↗
0 stars·0 forks·9 views

KoChatGPT

Features

  • Large Language Models - Implementation for fine-tuning and RLHF on Korean language models.

Star history

Star history chart for airobotlab/kochatgptStar history chart for airobotlab/kochatgpt

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Frequently asked questions

What are the main features of airobotlab/kochatgpt?

The main features of airobotlab/kochatgpt are: Large Language Models.

Which projects share features with airobotlab/kochatgpt?

Projects with overlapping indexed features include: alisawuffles/ambient — Code and data associated with the AmbiEnt dataset in "We're Afraid Language Models Aren't Modeling Ambiguity" (Liu et… allenai/mmc4 — MultimodalC4 is a multimodal extension of c4 that interleaves millions of images with text. antimatter15/alpaca.cpp — alpaca.cpp is a high-performance local inference engine implemented in C++ for executing instruction-tuned large… artidoro/qlora — This project is a quantized fine-tuning framework for large language models. It implements a low-rank adaptation… bentoml/openllm — OpenLLM is a framework for deploying, managing, and scaling open-source large language models. aigc-audio/audiogpt — AudioGPT is an LLM-driven audio framework and processing suite that uses large language models to orchestrate neural…

Projects sharing features with KoChatGPT

These projects share indexed features with KoChatGPT. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • alisawuffles/ambientalisawuffles avatar

    alisawuffles/ambient

    66View on GitHub↗

    Code and data associated with the AmbiEnt dataset in "We're Afraid Language Models Aren't Modeling Ambiguity" (Liu et al., 2023)

    Jupyter Notebook
    View on GitHub↗66
  • allenai/mmc4allenai avatar

    allenai/mmc4

    953View on GitHub↗

    MultimodalC4 is a multimodal extension of c4 that interleaves millions of images with text.

    Python
    View on GitHub↗953
  • antimatter15/alpaca.cppantimatter15 avatar

    antimatter15/alpaca.cpp

    10,138View on GitHub↗

    alpaca.cpp is a high-performance local inference engine implemented in C++ for executing instruction-tuned large language models. It serves as a quantized model runtime designed to load and run model tensors on local hardware with minimal dependencies, removing the requirement for a full Python environment. The project focuses on on-device text generation and the deployment of private AI chatbots. It utilizes model weight quantization to reduce memory requirements and increase inference speed on consumer-grade devices. The system covers hardware-optimized model execution through thread-pool

    C
    View on GitHub↗10,138
  • aigc-audio/audiogptAIGC-Audio avatar

    AIGC-Audio/AudioGPT

    10,174View on GitHub↗

    AudioGPT is an LLM-driven audio framework and processing suite that uses large language models to orchestrate neural audio pipelines. It functions as a multimodal audio generator and processing system, integrating a collection of pretrained models to handle speech synthesis, sound generation, and audio manipulation. The system is distinguished by its ability to generate audio from diverse inputs, including text and images, and its capacity to produce synchronized talking head videos. It also operates as a neural speech translator, converting spoken language between different tongues while pre

    Pythonaudiogptmusic
    View on GitHub↗10,174
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