AI

QLoRA — How to Fine-Tune an LLM on a Single GPU | by Shaw Talebi | Feb, 2024

Imports We import modules from Hugging Face’s transforms, peft, and datasets libraries. from transformers import AutoModelForCausalLM, AutoTokenizer, pipelinefrom peft import

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Graph Theory to Harmonize Model Integration | by Ahmad Albarqawi | Feb, 2024

Optimising multi-model collaboration with graph-based orchestration Orchestra — photographer Arindam Mahanta by unsplash Integrating the capabilities of various AI models

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The Journey of RAG Development: From Notebook to Microservices | by Wenqi Glantz | Feb, 2024

Converting a Colab notebook to two microservices with support for Milvus and NeMo Guardrails Image generated by DALL-E 3 by

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Optimized Deployment of Mistral7B on Amazon SageMaker Real-Time Inference | by Ram Vegiraju | Feb, 2024

Utilize large model inference containers powered by DJL Serving & Nvidia TensorRT Image from Unsplash by Kommers The Generative AI

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Satellites Can See Invisible Lava Flows and Active Wildfires, But How? (Python) | by Mahyar Aboutalebi, Ph.D. 🎓 | Feb, 2024

Visualizing satellite images captured over volcanos and wildfires in various spectral bands Sentinel-2 images captured over a volcano and a

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Interpreting R²: a Narrative Guide for the Perplexed | by Roberta Rocca | Feb, 2024

An accessible walkthrough of fundamental properties of this popular, yet often misunderstood metric from a predictive modeling perspective Photo by

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Advanced Retrieval-Augmented Generation: From Theory to LlamaIndex Implementation | by Leonie Monigatti | Feb, 2024

For additional ideas on how to improve the performance of your RAG pipeline to make it production-ready, continue reading here:

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Understanding Latent Dirichlet Allocation (LDA) — A Data Scientist’s Guide (Part 2) | by Louis Chan | Feb, 2024

LDA Convergence Explained with a Dog Pedigree Model “What if my a priori understanding of dog breed group distribution is

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6 Step Framework to Manage Reputational & Ethical Risks of Generative AI in Your Product | by Sarthak Handa | Feb, 2024

Managing AI risks requires a thoughtful approach throughout the entire product life-cycle. Below is a six step framework, organized by

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