Showing 60 open source projects for "dynamicreports-examples"

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  • 1
    LangChain Extract

    LangChain Extract

    Did you say you like data?

    LangChain Extract is an open-source reference application designed to demonstrate how large language models can be used to extract structured data from unstructured text and document files. The project implements a lightweight web service that allows developers to define extraction schemas and apply them to various sources such as plain text, HTML, or PDF documents. Built using FastAPI and the LangChain framework, the application exposes a REST API that can process documents and return...
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  • 2
    MGIE

    MGIE

    Guiding Instruction-based Image Editing via Multimodal Large Language

    ...This bridges a gap between free-form prompts and precise edits by letting users describe “what” and “where” in everyday language. The repo includes instructions, examples, and links that situate MGIE within Apple’s broader line of multimodal research. For practitioners, MGIE provides a blueprint for text-to-edit systems that are more semantically grounded than naive prompt-only pipelines.
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  • 3
    Streamline Analyst

    Streamline Analyst

    AI agent that streamlines the entire process of data analysis

    Streamline Analyst is a cutting-edge, open-source application powered by Large Language Models (LLMs) designed to revolutionize data analysis. This Data Analysis Agent effortlessly automates all the tasks such as data cleaning, preprocessing, and even complex operations like identifying target objects, partitioning test sets, and selecting the best-fit models based on your data. With Streamline Analyst, results visualization and evaluation become seamless.
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  • 4
    Mixtral offloading

    Mixtral offloading

    Run Mixtral-8x7B models in Colab or consumer desktops

    ...By selectively loading and caching the required experts, the system avoids keeping the entire model in GPU memory at once. The repository includes notebooks and code examples that demonstrate how to run large language models on consumer hardware such as personal GPUs or cloud notebook environments.
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    Alpaca-CoT

    Alpaca-CoT

    We unified the interfaces of instruction-tuning data

    ...This chain-of-thought supervision helps models perform better on tasks requiring structured reasoning, such as mathematics, logic puzzles, and analytical problem solving. The repository includes datasets, training scripts, and examples demonstrating how chain-of-thought data can be used to fine-tune language models. It also explores how reasoning traces generated by larger models can be distilled into smaller models.
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  • 6
    LLM Cookbook

    LLM Cookbook

    LLM Introduction Tutorial for Developers, Chinese version

    ...The repository includes practical coding examples that demonstrate how to integrate language models with tools such as LangChain and other common AI development frameworks. It also provides curated learning modules that guide users from introductory concepts to more advanced topics like building conversational systems or knowledge-based assistants.
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  • 7
    Language Models

    Language Models

    Explore large language models in 512MB of RAM

    languagemodels is a lightweight Python library designed to simplify experimentation with large language models while maintaining extremely low hardware requirements. The project focuses on enabling developers and students to explore language model capabilities without needing expensive GPUs or large cloud infrastructures. By using small and optimized models, the library allows LLM inference to run in environments with limited resources, sometimes requiring only a few hundred megabytes of...
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  • 8
    ThoughtSource

    ThoughtSource

    A central, open resource for data and tools

    ThoughtSource is a central, open resource and community centered on data and tools for chain-of-thought reasoning in large language models (Wei 2022). Our long-term goal is to enable trustworthy and robust reasoning in advanced AI systems for driving scientific research and medical practice.
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  • 9
    PromptCraft-Robotics

    PromptCraft-Robotics

    Community for applying LLMs to robotics and a robot simulator

    The PromptCraft-Robotics repository serves as a community for people to test and share interesting prompting examples for large language models (LLMs) within the robotics domain. We also provide a sample robotics simulator (built on Microsoft AirSim) with ChatGPT integration for users to get started. We currently focus on OpenAI's ChatGPT, but we also welcome examples from other LLMs (for example open-sourced models or others with API access such as GPT-3 and Codex).
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  • 10
    bert4keras

    bert4keras

    Keras implement of transformers for humans

    Our light reimplementation of bert for keras. A cleaner, lighter version of bert for keras. This is the keras version of the transformer model library re-implemented by the author and is committed to combining transformer and keras with as clean code as possible. The original intention of this project is for the convenience of modification and customization, so it may be updated frequently. Load the pre-trained weights of bert/roberta/albert for fine-tune. Implement the attention mask...
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