Falcon 2 11B

GPT-4 is an OpenAI's 4th generation Generative Pre-trained Transformer, a successor of ChatGPT. It is a multimodal large language model that uses deep learning to generate human-like text and it can accept image and text as inputs. GPT-4 is OpenAI's most advanced system, producing safer and more useful responses, it hallucinates less than previous models and is a major step forward. There are two versions with context windows of 8192 and 32768 tokens, which is a significant improvement over GPT-3.5 and GPT-3. OpenAI introduced the concept of "system message" that can be given to chat-optimized versions of GPT-4 in order to set the tone and task of the response.

General
Relese date	May 13, 2024
Author	TIIUAE
Dataset	https://huggingface.co/tiiuae/falcon-11B
Type	Large Language Model

Falcon 2 Tutorials

Fresno LUX: A Living City

Fresno LUX is a prototype for a living intelligence layer across an entire city. Fresno already contains enormous amounts of intelligence: residents know where problems exist, nonprofits know where help is needed, businesses know where opportunities exist, educators understand gaps in learning, researchers generate knowledge, and government maintains critical infrastructure and data. The problem is that much of this intelligence is fragmented across disconnected systems. Fresno LUX connects those pieces. The platform creates a shared city graph where people, organizations, resources, needs, projects, observations, experiments, and outcomes become connected nodes. Instead of simply collecting data, LUX continuously asks: What is happening? What do we know? What is missing? What can we test? What changed? A community problem can become an observable signal. That signal can become an experiment. The experiment produces evidence. Evidence changes the system's understanding. That updated understanding informs the next action. Observe → Connect → Understand → Act → Measure → Learn → Converge. The goal is to move Fresno from disconnected information toward collective intelligence—a system where knowledge can travel across boundaries and successful solutions can be discovered, tested, measured, and replicated. LUX is designed to make the invisible connections visible: the relationship between a neighborhood and its resources, between a student and educational opportunity, between a business and workforce capacity, between environmental conditions and community health, and between an idea and measurable real-world impact. This hackathon prototype demonstrates the beginning of a Living Fresno Graph: a city that can observe itself, learn from evidence, and coordinate toward better outcomes.

Second Opinion App For Medical Patients

Our project is a python based application designed to assist patients in analyzing their prescriptions. By uploading their prescriptions and entering medicine names, the app uses transformers(huggingface) to assess the need for a second opinion. It also provides personalized suggestions for questions patients (before taking prescribed medicines) to ask their doctors to avoid potential side effects or medication-related issues. The app aims to empower patients to make more informed decisions about their health, promoting safer medication practices and fostering communication between patients and healthcare professionals.

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.

LinguaPolis - Bridging Languages and Uniting Teams

Today we have workforces spread across multiple countries, cultures, and languages. Online meetings have become a key part of how businesses operate. But there's a significant challenge: not everyone speaks the same language or communicates effectively in a common one like English. Accents, dialects, or simply varying levels of proficiency often make it difficult for teams to fully understand each other. This problem results in inefficiencies—important points are missed, and post-meeting emails or clarifications are needed, which undermines the very purpose of the meeting. Ultimately, this wastes time, reduces productivity, and slows down decision-making. Consider a typical online meeting scenario. For many, English may not be their first language. Some struggle to express their ideas clearly, while others have difficulty understanding certain accents or pronunciations. Often, by the end of the meeting, there’s a lack of clarity, and participants need to follow up with additional communications, re-explaining points or providing more instructions. Now imagine a scenario where each participant could simply speak in their native language, and everyone else could understand them perfectly—in real time, without the need for human translators or extensive subtitles. This is where our idea comes in: an AI-powered online meeting platform that provides real-time dubbing and multilingual transcription. Each participant can speak comfortably in their native language, and the platform instantly dubs their speech into the local languages of all other participants. Additionally, real-time text transcripts of the conversation are generated in each participant’s language, providing both auditory and visual clarity. At the end of the meeting, the platform even summarizes the discussion, producing meeting minutes in every participant's native language, ensuring that everyone walks away with a clear understanding of what was discussed and the decisions that were made.