Announcing the Release of #LoRAX v0.7: Merge #LoRAs at runtime per request! Use cases: Mix LoRAs to improve response (Mixture of LoRAs) No need to pick the right #LoRA by hand Combine with a ranker and merge top-k LoRAs https://
pbase.ai/42tbst0
CODE
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LoRAX v0.7 Release: Runtime LoRA Merging Per Request
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Phi-2-DPO-7K: Microsoft’s Fast Fine-Tuned Language Model
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Introducing phi-2-dpo-7k! A Microsoft Phi-2, fine-tuned on a diverse cocktail of 7k chat interactions from @argilla_io
's latest DPO dataset, including orca pairs, ultra-feedback ratings, and capybara-dpo Runs ultra-fast on Apple Silicon, thanks to MLX -
Document Search Retrieval RAG Open Source Guide
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Document Search and Retrieval using RAG Great guide by @LightningAI and @aniketmaurya on building a retrieval pipeline Uses open source embedding and reranking models! https://
lightning.ai/lightning-ai/s
tudios/document-search-and-retrieval-using-rag?view=public§ion=recent
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LangChain Team Thanks Community Partners and Contributors
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Immense gratitude to our partners, community and team! @Hacubu and langchain team @leonvz @MisbahSy @derekcheungsa and others for tutorials @aidivas @pooria_arab @josephpollack and others for helping with Discord community
@jaredude @automaton82 and many github contributors -
Flowise Open Source AI Project Reaches 20k GitHub Stars
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Crossing 20k stars, 10k forks on Github https://
github.com/FlowiseAI/Flow
ise
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MLX Framework LoRA Implementation Guide Available
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Yeah you can find all in the repo! https://
github.com/ml-explore/mlx
-examples/blob/main/llms/mlx_lm/LORA.md
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Sharing Python, Data Science, and Machine Learning Content Daily
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That's a wrap! Every day, I share and simply content around Python, Data Science, Machine Learning & Large Language Models. Find me → @Sumanth_077 Like/RT the first tweet and help this reach more people.
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Training Machine Learning Models on GPU with PyCaret
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Training on GPUs! With Pycaret you can even train the ML models on the GPU by simply passing "use_gpu = True". Checkout the library:
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Clustering, Anomaly Detection, and Time Series Analysis Setup
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Even with Clustering import the necessary module and initialise the Algorithm. Similarly you can do the Anamoly Detection & Time Series Check this out:
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Regression Task Using Pycaret: Load, Setup, Train, Evaluate, Save
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Here is doing Regression Task using Pycaret! – Load the dataset
– Import the regression module and initialise the setup.
– Train & Evaluate the model
– Save the Model Check this out: