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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TOOLS
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Document Search Retrieval RAG Open Source Guide
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LlamaIndex Integration and Multimodal AI Features Announced
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What's next? 1. Integration with @llama_index 2. Multi Modal (image + audio)
3. Workflow builder
4. Evaluation
…and much more! We remain commited to our mission, serving developers and builders in building GenAI apps across different industries. Stay tuned! -

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
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AI Copilot Wave: 63,000 Organizations Adopting Microsoft Dynamics 365
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There's a new wave of businesses supported by AI copilot – Microsoft Dynamics 365 Blog bit.ly/3UeDqqh Employees at more than 63,000 organizations—including brands like 3M, Prada Group, and Campari—have had the opportunity to experience some of the AI-assisted features
→ View original post on X — @marktabnet, 2024-02-02 15:07 UTC
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AI Platform Release: New Experimentation and Cloud Features
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Our first platform release of the year is here with enhancements for #AI experimentation, production, and more! Save experiments as drafts, return later to complete the setup and begin modeling. Check out upgraded design and filter functionality for Word Cloud. Access
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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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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: -
PyCaret: Low-Code ML Library for Simplified Workflows
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To simplify PyCaret is a low-code library that helps in writing the ML workflow with just a few lines. PyCaret's module supports both supervised learning (classification & regression) and unsupervised learning (clustering) All you need to do is: "pip install pycaret"
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PyCaret: Open-Source Python Library for Automated Machine Learning
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An open-source, low-code Python Library to automate the machine learning workflows Introducing PyCaret an end-to-end Machine Learning tool that does: – Data Preprocessing
– Feature Engineering
– Model training
– Hyperparameter tuning &
– Model Evaluation Thread -
User inquiry regarding non-square image generation in AI models
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Any hints on when it will be possible to generate non square images?