open_model_zoo
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| open_model_zoo | gpt-llm-trainer | |
|---|---|---|
| 5 | 4 | |
| 3,945 | 3,795 | |
| 1.7% | - | |
| 8.6 | 5.2 | |
| about 22 hours ago | about 1 month ago | |
| Python | Jupyter Notebook | |
| Apache License 2.0 | MIT License |
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.
open_model_zoo
- FLaNK Stack Weekly 06 Nov 2023
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[D] Is BERT going to be obsolete by ChatGPT?
Search engines and chatbots are rapidly advancing with the introduction of ChatGPT, but search engines are still running on models like BERT (Bidirectional Encoder Representations from Transformers) for question-answer functionality. An interesting OpenVINO jupyter notebook #213 demonstrating question-answer functionality with a SQuAD v1.1 training set trained BERT model and transformer functions using either an embedded paragraph or a link to a website. I find it still really compelling to see how this works, basically how our widely used search engines function though on a much bigger scale.
- computer vision with Intel integrated GPU
- student in desperate need of help/ guidance
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Openvino demos missing libraries
If not, below a github link https://github.com/openvinotoolkit/open_model_zoo/tree/master/demos/common/python
gpt-llm-trainer
- FLaNK Stack Weekly 06 Nov 2023
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Show HN: Fine-tune your own Llama 2 to replace GPT-3.5/4
Very nice, thanks!
Check out what Matt Shumer put together as well: https://github.com/mshumer/gpt-llm-trainer.
I have used his trainer for auto distillation of GPT-4 into GPT3.5 fine tunes, but plan to do the same for Llama as well.
Cheers!
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[D] Anyone tried gpt-llm-trainer?
Hey guys, so I stumbled upon this Linkedin post, this guy was showing a jupyter notebook on google colab and was explaining step by step how to train your own model to accomplish very specific tasks, and I believe the base model he was using Llama 2 7B Fine tuning version. This is the github link: https://github.com/mshumer/gpt-llm-trainer
- GPT-LLM-Trainer
What are some alternatives?
Face Recognition - The world's simplest facial recognition api for Python and the command line
axolotl - Go ahead and axolotl questions
deepstream-occupancy-analytics - This is a sample application for counting people entering/leaving in a building using NVIDIA Deepstream SDK, Transfer Learning Toolkit (TLT), and pre-trained models. This application can be used to build real-time occupancy analytics applications for smart buildings, hospitals, retail, etc. The application is based on deepstream-test5 sample application.
OpenPipe - Turn expensive prompts into cheap fine-tuned models
Dlib - A toolkit for making real world machine learning and data analysis applications in C++
Llama-2-Onnx
pyvideotrans - Translate the video from one language to another and add dubbing. 将视频从一种语言翻译为另一种语言，并添加配音
trieve - All-in-one infrastructure for building search, recommendations, and RAG. Trieve combines search language models with tools for tuning ranking and relevance.
tensorflow-open_nsfw - Tensorflow Implementation of Yahoo's Open NSFW Model
vllm - A high-throughput and memory-efficient inference and serving engine for LLMs
openvino_notebooks - 📚 Jupyter notebook tutorials for OpenVINO™
deepeval - The LLM Evaluation Framework