Showing 4 open source projects for "simple php scripts"

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    Index

    Index

    The SOTA Open-Source Browser Agent

    Index is an open-source browser automation agent designed to autonomously perform complex tasks across websites by transforming web interfaces into programmable APIs. The system enables developers to instruct an AI agent to interact with web pages using natural language rather than traditional automation scripts. Instead of writing detailed browser automation code, users can describe the desired task and allow the agent to interpret the page structure, interact with elements, and complete multi-step workflows automatically. The project is built to integrate easily with applications through a simple programming interface, allowing developers to embed browser automation capabilities directly into their software systems. ...
    Downloads: 3 This Week
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  • 2
    Agent Development Kit (ADK) for Java

    Agent Development Kit (ADK) for Java

    An open-source, code-first Java toolkit

    Google’s Agent Development Kit for Java is an open-source toolkit that helps developers design, evaluate, and deploy advanced AI agents using the Java programming language. The framework follows a code-first approach that treats agent development as a structured software engineering task rather than a collection of prompt scripts. It provides abstractions and tools that allow developers to create agents capable of executing complex workflows, calling tools, and interacting with external services. ADK is designed to be flexible and modular so that developers can build simple automation agents or large distributed agent systems depending on their needs. While it integrates well with Google’s AI ecosystem, the framework is designed to remain model-agnostic and compatible with different machine learning platforms.
    Downloads: 4 This Week
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  • 3
    LLM-Pruner

    LLM-Pruner

    On the Structural Pruning of Large Language Models

    LLM-Pruner is an open-source framework designed to compress large language models through structured pruning techniques while maintaining their general capabilities. Large language models often require enormous computational resources, making them expensive to deploy and inefficient for many practical applications. LLM-Pruner addresses this issue by identifying and removing non-essential components within transformer architectures, such as redundant attention heads or feed-forward...
    Downloads: 0 This Week
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  • 4
    LM Human Preferences

    LM Human Preferences

    Code for the paper Fine-Tuning Language Models from Human Preferences

    ...It includes utilities for launching experiments, sampling from policies, and simple experiment orchestration.
    Downloads: 0 This Week
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