This repository contains the Hugging Face Agents Course.
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This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
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Accurately calculate the number of tokens for a string/file/folder
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Neo4j graph construction from unstructured data using LLMs
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The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬
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A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.
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Training LLMs with QLoRA + FSDP
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Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We release the trained model on HuggingFace.
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Jupyter Notebooks to help you get hands-on with Pinecone vector databases
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Examples and guides for using the OpenAI API
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Noise reduction in python using spectral gating (speech, bioacoustics, audio, time-domain signals)
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Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as appli
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this is where we share notebooks/projects used in your youtube channel
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