IBM IBM Granite AI technology Top Builders

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

IBM Granite

General
Relese date	2024
Author	IBM
Website	Granite AI Models
Repository	https://github.com/ibm-granite
Type	AI Models

The Granite AI Models family, developed by IBM, encompasses a range of state-of-the-art language models tailored for various applications. These models provide robust solutions for creating interactive chatbots, executing precise instructions and supporting multiple languages. Each model in the Granite AI Models family is designed to deliver high performance and accuracy, making them ideal for innovative and complex language processing tasks.

Granite AI Models are available on Hugging Face under the Apache 2.0 license.

Granite AI Models

Granite 13b Chat: This model is designed for creating interactive chatbot applications that can understand and generate human-like responses, enhancing user engagement and support capabilities.

Granite 13b Instruct: Optimized for following detailed instructions, this model excels at tasks requiring precise adherence to user commands, making it ideal for complex workflow automation and support tasks.

Granite Multilingual: A powerful model supporting multiple languages, Granite Multilingual is suitable for applications requiring understanding and generation of text in various languages, broadening accessibility and reach.

Granite Japanese: Specialized in Japanese language processing, this model is tailored for applications needing high proficiency in understanding and generating Japanese text, from chatbots to content creation tools.

Start building with Granite AI Models

Granite AI Models, developed by IBM, offer robust solutions for various language processing tasks. These models include the Granite 13b Chat for creating interactive chatbot applications, the Granite 13b Instruct for following detailed instructions, the Granite Multilingual for supporting multiple languages, and the Granite Japanese for applications needing Japanese language proficiency. Start building innovative solutions with these models and explore the community-built use cases and applications for inspiration.

👉 Try Granite on watsonx.ai

👉 Try Granite on Hugging Face

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IBM IBM Granite AI technology Hackathon projects

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

Procurement for Public Sector Connectivity

UniSphere: Transforming Public Sector Procurement with AI UniSphere is an AI solution revolutionizing government procurement for connectivity projects through automated RFP analysis and bid evaluation. The Problem Government procurement suffers from inefficient, error-prone processes that lead to delays, wasted funds, and poor vendor selection. Creating comprehensive RFPs and objectively evaluating bids remains challenging for procurement teams. Our Solution UniSphere's procurement-specific Language Intelligence Model (LIM) processes complex documents with precision, built on open-source technologies for transparency and flexibility. Key Features RFP Analysis: Automatic requirements and criteria extraction. Technical specification identification. Gap detection in vendor proposals. Bid Evaluation: Objective bid scoring against requirements. Detailed strengths/weaknesses analysis. Best practices integration. Technology Built using Llama 3.1, IBM Granite, Hugging Face, Docker, PyTorch, and FastAPI—ensuring security, scalability, and seamless integration. Benefits for Users. Procurement Officers: Faster, more efficient processes. Technical Evaluators: Consistent, objective evaluations. Security Officers: Secure, compliant implementations. Challenges and Roadmap Current Focus: Security through secure self-hosting. Developing robust procurement datasets. Creating continuous improvement mechanisms. Future Plans: Enhanced security features. Risk prediction and sentiment analysis. Human-in-the-loop accountability. Ongoing model refinement. Conclusion UniSphere transforms public procurement by automating critical processes, helping governments save time, reduce costs, and improve decision-making. Our open-source approach ensures transparency and adaptability, building a foundation for more efficient, accountable procurement practices in connectivity projects.

Network Optimizar

Network Optimizer is an AI-powered solution designed to enhance digital connectivity by optimizing network resources in real-time. It addresses common challenges in network utilization, such as weak signal areas, underutilized infrastructure, and weather-related disruptions. Using AI and real-time data analysis, the system identifies connectivity gaps, predicts potential signal issues, and provides actionable recommendations for telecom providers and policymakers. The interactive dashboard, built with Streamlit, offers visual insights on network performance, helping stakeholders improve service reliability and optimize infrastructure investments. Future enhancements include predictive ML models, AI-driven user support, and 5G network optimization, making Network Optimizer a cutting-edge tool for digital connectivity.

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.

LexiSense-AI Powered Dyslexia Support

"🧠 LexiSense – AI-Powered Dyslexia Support LexiSense is an advanced AI-driven tool designed to assist individuals with dyslexia by enhancing reading, writing, and comprehension skills. Using fine-tuned AI models, it simplifies complex words, improves pronunciation, and offers real-time text assistance through text-to-speech and speech-to-text features. Key Features: ✅ Fine-tuned AI for word simplification & pronunciation support ✅ Real-time text-to-speech & speech-to-text conversion ✅ Dyslexia-friendly fonts & adaptive text modifications ✅ Phonetic breakdowns & audio hints for better understanding ✅ Interactive tools like quizzes & games for engagement ✅ Personalized learning & progress tracking ✅ Emotional support & confidence-building encouragement With an intuitive and accessible design, LexiSense empowers individuals with dyslexia to overcome learning challenges, making education more inclusive and effective. "

Generating Knowledge Graphs with IBM Granite

Utilized IBM granite instruct and code models to extract themes and relationships from documents. Intuitive visual representation of document data Easily identify key themes and connections for research and analysis Downstream tasks: Recommendation Systems Data Integration Semantic Search Industries: Education Finance Policy More… Successfully extracted themes and relationships using Granite model and generated Cypher queries for knowledge graph generation in Neo4j Challenges: Given the non-deterministic nature of LLMs Granite code instruct does not always generate a valid query. Future Work: Refining prompts for better/ more predictable and structured outputs from model

Athena AI-Powered Business Management

"This AI-powered analysis platform, developed to help businesses optimize their growth strategies and enable new entrepreneurs to make the most accurate decisions, is built using the IBM granite-3-8b-instruct language model. It automates data-driven decision-making processes, making strategic positioning for businesses possible. Today, many businesses fail due to poor location choices and insufficient market analysis. Existing businesses that want to open a new branch and entrepreneurs stepping into the business world struggle to make the right city and location decisions. Athena Idea aims to solve this critical problem by helping businesses make data-driven, informed decisions. Our project focuses on two main use cases: An entrepreneur with an existing business wants to open a new branch but lacks clear information about the most suitable location. On the other hand, an individual entering the business world wants to understand which business model would be most profitable in their city and which area would help them reach more customers. Athena Idea solves both of these problems, supporting the best business decisions. Our system uses IBM’s granite-3-8b-instruct model and also leverages mistralai/mixtral-8x7b-instruct-v01 and meta-llama/llama-3-2-3b-instruct models as supportive decision-making tools. The IBM granite instruct models, with their advanced natural language processing capabilities, interpret user inputs and conduct market analysis by extracting the most relevant data from OpenStreetMap. The recommendation mechanism works based on the Nash Equilibrium principle of Game Theory, aiming to optimize the customer access areas of similar businesses. This helps Athena Idea identify locations that maximize businesses' competitive advantages. Among the advantages offered by Athena Idea are data-driven strategic decision-making, benefiting from IBM Granite’s language processing power, location-based recommendations, and competitive analysis."