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

Libraries

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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.

Flare

Flare is a translation chat tool designed to facilitate easy and interactive translation between multiple languages. With an intuitive chat interface, users can select from various language pairs and receive real-time translations, making it a useful tool for language learning and exploration. Features Real-Time Translation: Translate text instantly between selected languages. Interactive Chat Interface: Communicate with the tool in a conversational manner. Multiple Language Pairs: Supports various language pairs including: - Spanish-English - English-Korean - Korean-English - French-English Technologies Used IBM Watsonx.ai: Utilizes the IBM Watsonx.ai multi-language model, specifically the granite-20b-multilingual, for generating translations. This model is known for its robust translation capabilities across a wide range of languages. Flask: A lightweight web framework for Python used to build the application's backend. Python: The primary programming language for developing the backend logic. HTML & CSS: Used for designing the frontend interface of the application. Utilization of Granite-20b-Multilingual Flare leverages the power of the granite-20b-multilingual model from IBM Watsonx.ai to deliver accurate translations across multiple languages. This advanced model has been trained on a vast dataset to understand and precisely translate text, ensuring that users receive meaningful and contextually appropriate translations. The model supports a wide range of languages and is designed to handle various language pairs effectively. Accuracy and Limitations While the granite-20b-multilingual model offers impressive translation accuracy, it's important to note that no model is perfect. Occasionally, translations may be inaccurate or contextually incorrect. Flare is designed for learning and exploration purposes, and users should be aware that results may vary.

Socialyte

Socialyte is a tool for a business to generate posts quickly for LinkedIn or Twitter using Generative AI. Using the power of Open AI the tool will take text inputs from users to generate an image and text for your post. The tool also allows for users to upload their own images as well. It lastly uses Granite to generate localized text for Spanish and German. This tool looks to make generating content for Social Media easier for businesses as it can be time consuming and daunting with a busy day to day schedule. It is needed though as keeping an active social media presence in this day and age is key to growing and maintaining a successful business! Keep your business presence Sharp and Tech Savvy with a little help from Socialyte!

XSell - AI Sales Process Optimizer

XSell is a cutting-edge AI sales process assistant aimed at transforming the way boutique digital agencies manage their sales pipelines. Smaller agencies often face challenges like inconsistent follow-ups, resource constraints, and the lack of formalized sales processes, leading to missed opportunities and fluctuating revenue streams. XSell addresses these issues by automating key aspects of the sales process—prospect evaluation, personalized outreach, objection handling, and proposal generation. By leveraging advanced AI tools and IBM Cloud, XSell enables agencies to maintain a consistent and healthy sales pipeline, thus empowering them to compete with larger firms while maintaining their personalized service approach. Whether it's finding prospects, managing sales calls, or creating tailored offers, XSell provides a comprehensive solution to ensure boutique agencies can scale efficiently and effectively. XSell is your AI-powered partner in achieving consistent sales growth and operational efficiency.

Overshare

Unlock Your Power: Take Control of Your Digital Destiny with Overshare Imagine a world where you're the master of your online narrative. A world where you can share your life's moments with confidence, knowing that your most precious secrets are protected. Introducing Overshare, the revolutionary application that empowers you to be the curator of your digital footprint. With its cutting-edge AI technology, Overshare scans every image before it's posted, shielding you from potential pitfalls and safeguarding your reputation. Don't let careless mistakes compromise your security or expose yourself to harm. With Overshare, you'll: Be alerted to sensitive information lurking in plain sight Proactively protect yourself from identity theft and cyber threats Maintain control over what's shared and what stays private Join the movement towards digital liberation! Download Overshare today and unleash a new era of online freedom – where you dictate the terms, not predators or hackers. Share with power. Share with purpose.

Medical Report summarizer

Our team is excited to participate in the Falcon Hackathon, where we are developing an innovative software application aimed at revolutionizing the medical field. Using Flutter and Falcon 2 API, our project focuses on summarizing medical reports and highlighting key points. This application is designed to aid doctors with concise and relevant information quickly, especially in urgent situations. By distilling lengthy medical documents into easily digestible summaries, we aim to enhance the efficiency and accuracy of medical professionals. We aim to make critical information more accessible, allowing doctors to make informed decisions rapidly. With our combined expertise and dedication, we are committed to creating a tool that can significantly impact the healthcare industry, improving patient outcomes and streamlining the workflow for medical staff. We look forward to showcasing our project and its potential at the Falcon Hackathon.