Showing 9 open source projects for "regular"

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    Ship Agents Faster

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  • 1
    llama.cpp Python Bindings

    llama.cpp Python Bindings

    Python bindings for llama.cpp

    llama-cpp-python provides Python bindings for llama.cpp, enabling the integration of LLaMA (Large Language Model Meta AI) language models into Python applications. This facilitates the use of LLaMA's capabilities in natural language processing tasks within Python environments.
    Downloads: 3 This Week
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  • 2
    Guidance

    Guidance

    A guidance language for controlling large language models

    Guidance is an efficient programming paradigm for steering language models. With Guidance, you can control how output is structured and get high-quality output for your use case—while reducing latency and cost vs. conventional prompting or fine-tuning. It allows users to constrain generation (e.g. with regex and CFGs) as well as to interleave control (conditionals, loops, tool use) and generation seamlessly.
    Downloads: 1 This Week
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  • 3
    KG-LLM-Papers

    KG-LLM-Papers

    Papers integrating knowledge graphs (KGs) and large language models

    KG-LLM-Papers is a curated academic resource that collects and organizes research papers exploring the intersection between knowledge graphs and large language models. The repository functions as a continuously updated index of scholarly work that investigates how structured knowledge representations can enhance the reasoning, factual accuracy, and interpretability of language models. It includes surveys, benchmark studies, and cutting-edge research that examine topics such as knowledge...
    Downloads: 0 This Week
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  • 4
    LLM Agents Papers

    LLM Agents Papers

    Must-read Papers on LLM Agents

    LLM Agent Papers is an open-source repository that curates research papers related to large language model agents and autonomous AI systems. The project organizes academic literature that explores how language models can act as agents capable of reasoning, planning, and interacting with external tools or environments. Rather than providing software code, the repository functions as a structured knowledge base that helps researchers navigate the rapidly expanding field of agent-based AI...
    Downloads: 0 This Week
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  • $300 Free Credits for Your Google Cloud Projects Icon
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  • 5
    Hallucination Leaderboard

    Hallucination Leaderboard

    Leaderboard Comparing LLM Performance at Producing Hallucinations

    Hallucination Leaderboard is an open research project that tracks and compares the tendency of large language models to produce hallucinated or inaccurate information when generating summaries. The project provides a standardized benchmark that evaluates different models using a dedicated hallucination detection system known as the Hallucination Evaluation Model. Each model is tested on document summarization tasks to measure how often generated responses introduce information that is not...
    Downloads: 0 This Week
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  • 6
    Daily Interview

    Daily Interview

    Datawhale members have compiled a book covering machine learning

    daily-interview is an open-source educational repository designed to help software engineers prepare for technical interviews through daily practice questions and curated learning materials. The project collects a wide range of interview questions related to algorithms, data structures, system design, and core computer science topics commonly tested by technology companies. The repository is organized in a structured format that encourages developers to practice solving problems regularly...
    Downloads: 0 This Week
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  • 7
    LLM-Agent-Paper-List

    LLM-Agent-Paper-List

    The paper list of the 86-page SCIS cover paper

    LLM-Agent-Paper-List is an open-source research repository that aggregates and organizes academic publications related to large language model–based agents. The project functions as a curated companion resource to a comprehensive survey paper examining the rise and potential of LLM-driven agent systems. Within the repository, research papers are categorized according to key aspects of agent architecture, including components such as reasoning systems, perception mechanisms, and action...
    Downloads: 0 This Week
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  • 8
    aqueduct LLM

    aqueduct LLM

    Aqueduct allows you to run LLM and ML workloads on any infrastructure

    ...Aqueduct is an open-source MLOps framework that allows you to write code in vanilla Python, run that code on any cloud infrastructure you'd like to use, and gain visibility into the execution and performance of your models and predictions. Aqueduct's Python native API allows you to define ML tasks in regular Python code. You can connect Aqueduct to your existing cloud infrastructure (docs), and Aqueduct will seamlessly move your code from your laptop to the cloud or between different cloud infrastructure layers. Aqueduct provides a single interface to running machine learning tasks on your existing cloud infrastructure — Kubernetes, Spark, Lambda, etc. ...
    Downloads: 0 This Week
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  • 9
    Alpaca.cpp

    Alpaca.cpp

    Locally run an Instruction-Tuned Chat-Style LLM

    ...The weights are based on the published fine-tunes from alpaca-lora, converted back into a PyTorch checkpoint with a modified script and then quantized with llama.cpp the regular way.
    Downloads: 1 This Week
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