Best AI tools for< Decline Requests >

Linus Health is a next-generation digital cognitive assessment platform that enables earlier detection and intervention in brain health. It brings the power of AI to long-trusted cognitive tests, delivering rich insights and actionable clinical guidance. Linus Health's technology has been validated in over 20 published studies and is used by leading organizations to transform their approach to brain health.

AllGalaxy is a pioneering platform revolutionizing mental health care with AI-driven assessment tools. It integrates cutting-edge artificial intelligence with compassionate care to enhance well-being globally. The platform offers advanced tools like the Health Nexus for mental health assessments, the Advanced Alzheimer's Detection Tool for early diagnostics, and MediMood for real-time mental health assessments. AllGalaxy also provides resources on healthy habits to prevent Alzheimer's and promote brain health.

CallCare is an AI-driven application designed to provide peace of mind for users concerned about the mental wellness of their elderly loved ones. The platform allows users to schedule intelligent calls to monitor the well-being of their loved ones, analyze call details with advanced analytics, and track mental wellness metrics through detailed reports. With a focus on mimicking human interaction, CallCare offers a secure and private environment for engaging conversations that aim to detect any mental wellness decline early on.

AiogramShopBot is a software product based on Aiogram3 and SQLAlchemy that allows you to automate sales of digital goods in Telegram. One of the bot's advantages is that AiogramShopBot implements the ability to top up with Bitcoin, Litecoin, Solana and stablecoins in the TRC20 and ERC20 networks, which allows you to sell digital goods worldwide. The bot provides features for user registration, balance top-up, purchase of goods, purchase history, admin functionalities like announcements, inventory management, user management, analytics & reports, and multibot functionality. It supports encryption via SQLCipher, multiple cryptocurrencies, and offers a user-friendly interface for managing sales and transactions.

Awesome AI GPTs is an open repository that collects resources and fun ways to use OpenAI GPTs. It includes databases, search tools, open-source projects, articles, attack and defense strategies, installation of custom plugins, knowledge bases, and community interactions related to GPTs. Users can find curated lists, leaked prompts, and various GPT applications in this repository. The project aims to empower users with AI capabilities and foster collaboration in the AI community.

Arno's Iptables Firewall (AIF) is a single- & multi-homed firewall script with DSL/ADSL support. It is a free software distributed under the GNU GPL License. The script provides a comprehensive set of configuration files and plugins for setting up and managing firewall rules, including support for NAT, load balancing, and multirouting. It offers detailed instructions for installation and configuration, emphasizing security best practices and caution when modifying settings. The script is designed to protect against hostile attacks by blocking all incoming traffic by default and allowing users to configure specific rules for open ports and network interfaces.

The ChatBotKit Node SDK is a JavaScript-based platform for building conversational AI bots and agents. It offers easy setup, serverless compatibility, modern framework support, customizability, and multi-platform deployment. With capabilities like multi-modal and multi-language support, conversation management, chat history review, custom datasets, and various integrations, this SDK enables users to create advanced chatbots for websites, mobile apps, and messaging platforms.

ReEdgeGPT is a tool designed for reverse engineering the chat feature of the new version of Bing. It provides documentation and guidance on how to collect and use cookies to access the chat feature. The tool allows users to create a chatbot using the collected cookies and interact with the Bing GPT chatbot. It also offers support for different modes like Copilot and Bing, along with plugins for various tasks. The tool covers historical information about Rome, the Lazio region, and provides troubleshooting tips for common issues encountered while using the tool.

This repository is dedicated to the pruning of large language models (LLMs). It aims to serve as a comprehensive resource for researchers and practitioners interested in the efficient reduction of model size while maintaining or enhancing performance. The repository contains various papers, summaries, and links related to different pruning approaches for LLMs, along with author information and publication details. It covers a wide range of topics such as structured pruning, unstructured pruning, semi-structured pruning, and benchmarking methods. Researchers and practitioners can explore different pruning techniques, understand their implications, and access relevant resources for further study and implementation.

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

Prometheus-Eval is a repository dedicated to evaluating large language models (LLMs) in generation tasks. It provides state-of-the-art language models like Prometheus 2 (7B & 8x7B) for assessing in pairwise ranking formats and achieving high correlation scores with benchmarks. The repository includes tools for training, evaluating, and using these models, along with scripts for fine-tuning on custom datasets. Prometheus aims to address issues like fairness, controllability, and affordability in evaluations by simulating human judgments and proprietary LM-based assessments.

Torch-Pruning (TP) is a library for structural pruning that enables pruning for a wide range of deep neural networks. It uses an algorithm called DepGraph to physically remove parameters. The library supports pruning off-the-shelf models from various frameworks and provides benchmarks for reproducing results. It offers high-level pruners, dependency graph for automatic pruning, low-level pruning functions, and supports various importance criteria and modules. Torch-Pruning is compatible with both PyTorch 1.x and 2.x versions.

LlamaIndex is a data framework for building LLM applications. It provides tools for ingesting, structuring, and querying data, as well as integrating with LLMs and other tools. LlamaIndex is designed to be easy to use for both beginner and advanced users, and it provides a comprehensive set of features for building LLM applications.

LongRoPE is a method to extend the context window of large language models (LLMs) beyond 2 million tokens. It identifies and exploits non-uniformities in positional embeddings to enable 8x context extension without fine-tuning. The method utilizes a progressive extension strategy with 256k fine-tuning to reach a 2048k context. It adjusts embeddings for shorter contexts to maintain performance within the original window size. LongRoPE has been shown to be effective in maintaining performance across various tasks from 4k to 2048k context lengths.

LLM Confabulation Leaderboard evaluates large language models based on confabulations and non-response rates to challenging questions. It includes carefully curated questions with no answers in provided texts, aiming to differentiate between various models. The benchmark combines confabulation and non-response rates for comprehensive ranking, offering insights into model performance and tendencies. Additional notes highlight the meticulous human verification process, challenges faced by LLMs in generating valid responses, and the use of temperature settings. Updates and other benchmarks are also mentioned, providing a holistic view of the evaluation landscape.

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