Pics of my first FULLY self trained Stable Diffusion (not Dreambooth) with my own data set These are just samples as it's not even fully done training Will train on men next! Then a combo model
OPEN SOURCE
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Ludwig.ai Now Supports Gradient-Boosted Tree Models
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http://
Ludwig.ai now supports gradient-boosted tree #models. Just in time for the holidays! Check out this blog and tutorial to see how they compare to #neuralnetworks and get started building in < 10 lines of code. https://
pbase.ai/3HTgPJK #opensource #machinelearning -
Integrating datasets with Hugging Face model evaluator tools
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cool work @EthanJPerez & team! Would be awesome to add the datasets to http://
hf.co/datasets or some sort of integration with https://
huggingface.co/spaces/autoeva
luate/model-evaluator?dataset=acronym_identification
… if that makes sense! -
OpenAI Open-Sources Point-E: Fast 3D Point Cloud Generation
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Just open-sourced Point·E — DALL·E but for 3D point clouds. Extremely fast to generate: https://t.co/fXrdnxi7Qw pic.twitter.com/PUKRZO9fum
— Greg Brockman (@gdb) 20 décembre 2022Just open-sourced Point·E — DALL·E but for 3D point clouds. Extremely fast to generate: https://
github.com/openai/point-e -
Instruction Models Now Available in Open Source
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Instruction models making their way into the open-source!
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Featuretools-SQL: Automated Feature Engineering for Databases
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Introducing Featuretools-SQL: The easy way to import data from your #RDBMS and perform automated #FeatureEngineering. Streamline your #MachineLearning process with our new library. Learn more in our blog: http://
ow.ly/kFhA50M69ww #Python #databases #postgres #Snowflake #mySQL -
Create unlimited AI-generated images with Dreambooth and retain rights
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Did you know that you can create your own AI-generated images (that too unlimited) & keep the rights of your original images & have the trained model for yourself without spending a fortune? Try Dreambooth by AutoTrain: https://
huggingface.co/spaces/abhishe
k/dreambooth
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Hugging Face AutoTrain: Free Model Training Without Pro Subscription
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Now you don't need a pro subscription on Hugging Face to train more than 5 models for a project using AutoTrain!!! However, if you have a PRO account, you can train up to 10 models per project for FREE! Try AutoTrain NOW: http://
hf.co/AutoTrain -
LangChain Enables Selective LLM Caching Control
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Caching improvements Previously, caching was enabled for either all LLMs or None But @devonbrackbill pointed out you may want to turn off caching for certain LLM calls – eg in recursive summarization This is now possible Docs: https://
langchain.readthedocs.io/en/latest/exam
ples/prompts/llm_caching.html
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MMR Example Selector for Optimal Contextual Diversity
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Max Marginal Relevance (MMR) Example Selector Based on this preprint by @xiye_nlp et al, the MMR example selector chooses diverse, in-context examples H/t @johnjnay for surfacing this paper Docs: https://langchain.readthedocs.io/en/latest/examples/prompts/prompt_management.html Original Paper: https://x.com/xiye_nlp/status/1603821850592628738?s=20&t=wQPcRd8IJ8URbmytuYP7QA