- [N] H2OGPT - An Open-Source comercially useful LLM with instruction tuning released https://github.com/h2oai/h2ogpt 7 comments machinelearning
Linking pages
- 5 easy ways to run an LLM locally | InfoWorld https://www.infoworld.com/article/3705035/5-easy-ways-to-run-an-llm-locally.html 6 comments
- GitHub - eugeneyan/open-llms: 🤖 A list of open LLMs available for commercial use. https://github.com/eugeneyan/open-llms 2 comments
- GitHub - h2oai/sql-sidekick: Experiment on QnA tabular data using LLMs and SQL https://github.com/h2oai/sql-sidekick 1 comment
- GitHub - vince-lam/awesome-local-llms: Identify popular and active GitHub repos for hosting local LLMs https://github.com/vince-lam/awesome-local-llms 1 comment
- GitHub - Hannibal046/Awesome-LLM: Awesome-LLM: a curated list of Large Language Model https://github.com/Hannibal046/Awesome-LLM 0 comments
- LLM Collection | Prompt Engineering Guide https://www.promptingguide.ai/models/collection 0 comments
- Running Large Language Models Privately - privateGPT and Beyond | Weaviate - vector database https://weaviate.io/blog/private-llm 0 comments
Linked pages
- Open Assistant https://open-assistant.io/ 311 comments
- GitHub Star History https://star-history.com/#microsoft/playwright&cypress-io/cypress&Date 78 comments
- GitHub - tloen/alpaca-lora: Instruct-tune LLaMA on consumer hardware https://github.com/tloen/alpaca-lora 11 comments
- GitHub - h2oai/h2o-llmstudio: H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://h2oai.github.io/h2o-llmstudio/ https://github.com/h2oai/h2o-llmstudio 3 comments
- H2O.ai | The fastest, most accurate AI Cloud Platform https://h2o.ai/ 1 comment
- EleutherAI https://www.eleuther.ai/ 0 comments
- GitHub - h2oai/h2o-3: H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc. https://github.com/h2oai/h2o-3 0 comments
- Make AI Apps | H2O Wave https://wave.h2o.ai/ 0 comments
- The OIG Dataset | LAION https://laion.ai/blog/oig-dataset/ 0 comments
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