Anthropic Anthropic Claude AI technology Top Builders

Explore the top contributors showcasing the highest number of Anthropic Anthropic Claude AI technology app submissions within our community.

Anthropic Claude

Claude is your friendly and versatile AI language model that can assist you as a company representative, research assistant, creative partner, or task automator.

Claude is Safe, Clever, and Yours. Built with safety at its core and with industry leading security practices, Claude can be customized to handle complex multi-step instructions and help you achieve your tasks.

Anthropic provides two versions of Claude. Claude and Claude instant. Claude is a state-of-the-art high-performance model. Claude instant is a lighter and much faster option.

Announcing: Claude 2

Anthropic is pleased to announce the launch of Claude 2, showcasing improved performance, longer responses and accessibility via API and a new public-facing beta website, claude.ai.

Claude 2 has demonstrated aptitude in coding, math, and reasoning, scoring 76.5% on the multiple choice section of the Bar exam, a significant improvement from the 73.0% scored by Claude 1.3. When tested against college students applying to graduate school, Claude 2 demonstrated advanced capabilities, scoring above the 90th percentile on the GRE reading and writing exams.

The Claude 2 API for businesses is being offered at the same price as Claude 1.3. Anyone in the US and UK can start using our beta chat experience today.

Users can input up to 100K tokens in each prompt with Claude 2. This means that Claude can process hundreds of pages of technical documentation or even a book. Claude 2 can create longer documents, from memos to letters to stories up to a few thousand tokens, all in one go.

Give Claude a try today and see how it can power up your Hackathon project!

General
Release date	March 14 2023
Author	Anthropic
Type	Natural Language Processing

Start building with Anthropic Claude

To be able to build with this technology you will have to join the waitlist on https://www.anthropic.com/earlyaccess.Learn more about Claude

Claude Libraries

A curated list of libraries to help you build great projects with Claude.

Claude Examples

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Anthropic Anthropic Claude AI technology Hackathon projects

Discover innovative solutions crafted with Anthropic Anthropic Claude AI technology, developed by our community members during our engaging hackathons.

GENEO

G.E.N.E.O is an Application Function (AF) based on supervised genetic algorithms with language models for planning management in the insertion of Edge UPFs and their resource optimization. The planning stage optimizes the distances and resource allocation of the Edge UPFs according to the initial population distribution. In the Optimization stage, it assigns network resources according to the capacities in the Edge UPFs, considering the mobility of users for each hour. In turn, it validates the result with the 5G technical specifications given by 3GPP and generates the configuration change operation at the Edge.

NetConnect

Public Sector Network Connectivity Analyzer The Public Sector Network Connectivity Analyzer is a comprehensive solution designed to address the critical need for reliable network monitoring across public institutions. Our application serves as an essential tool for IT administrators managing connectivity infrastructure for schools, healthcare facilities, government offices, libraries, and other public service organizations. Core Capabilities Real-Time Network Visualization Interactive diagrams and topology maps provide clear visibility into how public institutions are connected, displaying network elements, connection points, and infrastructure components with intuitive visualization tools. Performance Monitoring System Our platform continuously tracks vital network metrics including uptime percentages, latency measurements, bandwidth utilization, and connection status across the entire public sector network, enabling proactive management. Advanced Simulation Engine IT professionals can run comprehensive simulations to test network resilience under various scenarios such as increased user loads, infrastructure failures, or cyber incidents, helping identify vulnerabilities before they impact critical services. Institution Management Portal Administrators can efficiently manage information about connected institutions, monitor their connection status in real-time, and access detailed performance metrics through a unified dashboard interface. Geographic Mapping Integration Our system incorporates geographic visualization capabilities to display the physical distribution of institutions and network infrastructure across regions, facilitating better resource allocation and planning. Technical Implementation This solution addresses the unique challenges faced by public sector organizations that require reliable connectivity for delivering essential services to communities, while providing the tools needed to ensure network resilience, performance, and security.

AI-Powered Network Guardian

Our project, AI-Powered Network Guardian, is a prototype designed to enhance the scalability and sustainability of public sector networks. It leverages AI and automation to provide predictive maintenance, real-time monitoring, and cost optimization for network infrastructure. Using machine learning models, it can detect anomalies, predict potential failures, and recommend proactive solutions to minimize downtime and reduce operational costs. We have integrated Streamlit for an interactive dashboard that visualizes network health, alerts, and optimization insights. Currently, this is a prototype running on simulated data, demonstrating the feasibility of AI-driven network management. Future iterations can incorporate real-time data, advanced AI models, and broader integrations to support large-scale public sector infrastructure.

SupplyGenius Pro

Core Features 1. Document Processing & Analysis - Automated analysis of supply chain documents - Extraction of key information (parties, dates, terms) - Compliance status verification - Confidence scoring for extracted data 2. Demand Forecasting & Planning - AI-powered demand prediction - Time series analysis with confidence intervals - Seasonal pattern recognition - Multi-model ensemble forecasting (LSTM, Random Forest) 3.Inventory Optimization - Real-time inventory level monitoring - Dynamic reorder point calculation - Holding cost optimization - Stockout risk prevention 4. Risk Management - Supply chain disruption simulation - Real-time risk monitoring - Automated mitigation strategy generation - Risk score calculation 5. Supplier Management - Supplier performance tracking - Lead time optimization - Pricing analysis - Automated purchase order generation 6. Financial Analytics - ROI calculation - Cost optimization analysis - Financial impact assessment - Budget forecasting 7. Real-time Monitoring - Live metrics dashboard - WebSocket-based alerts - Performance monitoring - System health tracking 8. Security Features - JWT-based authentication - Role-based access control - Rate limiting - Secure API endpoints -- Technical Capabilities 1. AI Integration - IBM Granite 13B model integration - RAG (Retrieval Augmented Generation) - Custom AI toolchains - Machine learning pipelines 2. Data Processing - Real-time data processing - Time series analysis - Statistical modeling - Data visualization 3. Performance Optimization - Redis caching - Async operations - Rate limiting - Load balancing 4. Monitoring & Logging - Prometheus metrics - Detailed logging - Performance tracking - Error handling

Network Towers for School Connectivity in Niger

This project aims to improve educational access in Niger by strategically optimizing the placement of network towers to maximize school connectivity while minimizing cable and infrastructure costs. Using geographic data and optimization algorithms, the project identifies optimal tower locations, ensuring the shortest possible distance from schools to hubs. This approach reduces the required length of cables, significantly lowering deployment and maintenance expenses. By providing reliable internet coverage to the highest number of schools, the initiative seeks to bridge the digital divide, enhance learning opportunities in underserved regions, and create a cost-effective, sustainable solution for digital education access.

Connect4Good

"Connect4Good" is an open-source platform powered by AI and blockchain technology that optimizes the entire lifecycle of public sector connectivity networks. Key Features: AI-Driven Network Planning: Predictive Modeling: Utilizes AI/ML algorithms to analyze geographical data, population density, and existing infrastructure to predict optimal network deployment locations and technologies (e.g., satellite, terrestrial, mesh). Cost Optimization: Leverages AI to identify the most cost-effective solutions by comparing different technologies, vendors, and deployment strategies. Transparent Procurement: Blockchain-Based Platform: Employs blockchain technology to create a transparent and immutable record of all procurement activities, ensuring fairness and accountability. AI-Powered Bid Evaluation: Utilizes AI algorithms to analyze bids from multiple vendors, identifying the most competitive and reliable offers. AI-Enhanced Network Operations: Predictive Maintenance: Employs AI/ML to analyze network performance data, predict potential issues, and schedule proactive maintenance, minimizing downtime. Traffic Management: Utilizes AI algorithms to optimize network traffic flow, ensuring equitable access and prioritizing critical services like education and healthcare. Decentralized Network Management: DePIN Integration: Leverages decentralized technologies to enable community participation in network management and maintenance, fostering local ownership and sustainability.