lionagi
synthesizer
| lionagi | synthesizer | |
|---|---|---|
| 1 | 4 | |
| 251 | 566 | |
| 16.3% | - | |
| 9.9 | 10.0 | |
| about 14 hours ago | 4 months ago | |
| Jupyter Notebook | Python | |
| Apache License 2.0 | Apache License 2.0 |
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lionagi
synthesizer
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Phibrarian Alpha - the first model checkpoint from SciPhi's Mistral-7b
The run is a few days in on a 8x 80gb A100 cluster, and I quietly released the first epoch checkpoint here. I am building the model in association with our synthetic data efforts here, at SciPhi.
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With LLMs we can create a fully open-source Library of Alexandria.
I am updating because we have another interesting result - by going deeper instead of broader, and by combining new techniques like RAG, we can make incredibly descriptive textbooks. This one here was generated by a ~fully AI pipeline. The pipeline goes MIT OCW -> Syllabus -> Table of Contents -> Textbook. The last step is grounded through vector-lookups over the whole of Wikipedia.
- Textbook was authored with an AI pipeline
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Looking for fine-tuners who want to build an exciting new model -
The timing is great, because yesterday I introduced RAG into the synthetic generation pipeline [here](https://github.com/emrgnt-cmplxty/sciphi/tree/main). I'm in the process of indexing the entirety of this pypi dataset using ChromaDB in the cloud. It will be relatively easy to plug this into SciPhi when done.
What are some alternatives?
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
autoscraper - A Smart, Automatic, Fast and Lightweight Web Scraper for Python
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
pytorch-lightning - The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate. [Moved to: https://github.com/PyTorchLightning/pytorch-lightning]
pytorch-lightning - Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
stableagents - Stable, Semi-Autonomous, Reliable and Steerable LLM Agents for production use cases.
adversarial-robustness-toolbox - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]