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Amir Siddiqui

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titleconferencedate
Evaluating RAG Model Performance Metrics, Bias, and InterpretabilityDSC MENA 20252025-04-10
A concrete RAG pipeline is built end to end: chunking text with tunable chunk size, creating embeddings, storing vectors in Chroma and Pinecone, retrieving…
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Building Smart Agents with LlamaIndex: A Comprehensive OverviewDSC Europe 242024-11-18
Shows a working Jupyter/React agent built with Llama 3.1 that actually calls tool plugins (calendar, weather API, finance, DuckDuckGo search) and falls back to…
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Build RAG using Llama 3.1DSC DACH 242024-09-11
Step‑by‑step builds a working RAG pipeline that uses Llama 3.1 8B instant via Grok Cloud API key, converts a sample Paul Graham essay into embeddings with…
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Document Q&A using LangChainDSC MENA 20242024-04-18
A working RAG pipeline that loads web or PDF content, chunks it, creates Hugging Face embeddings, stores them in Chroma DB, and uses LangChain…
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Object detection using OpenCVDSC Europe 232023-11-20
A hands‑on OpenCV tutorial that loads pre‑trained Haar Cascades in a Jupyter notebook to detect face, eyes and smile with visible bounding boxes, shows…
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Tech Tutorial: Image segmentationInternational Data Science Conference 20212021-10-20
A hands-on pipeline uses TensorFlow to load images and masks, apply data augmentation, train a convolutional segmentation model and visualize predicted masks…
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