Mistral AI AI technology page Top Builders

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

Mistral AI: Frontier AI in Your Hands

Mistral AI is at the forefront of pushing the boundaries of artificial intelligence. Their commitment to open models and community-driven innovation sets them apart. Discover Mistral 7B, their latest breakthrough in AI technology.

General
AuthorMistral AI
RepositoryGitHub
TypeLarge Language Model

Introduction

Mistral 7B v0.1 is Mistral AI's first Large Language Model (LLM). A Large Language Model (LLM) is an artificial intelligence algorithm trained on massive amounts of data that is able to generate coherent text and perform various natural language processing tasks.

The raw model weights are downloadable from the documentation and on GitHub.

A Docker image bundling vLLM, a fast Python inference server, with everything required to run our model is provided to quickly spin a completion API on any major cloud provider with NVIDIA GPUs.

Where to Start?

If you are interested in deploying the Mistral AI LLM on your infrastructure, check out the Quickstart. If you want to use the API served by a deployed instance, go to the Interacting with the model page or view the API specification.

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Mistral AI AI technology page Hackathon projects

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

Enhancing Infrastructure and Accessibility

Enhancing Infrastructure and Accessibility

Enhancing infrastructure and accessibility for healthcare and education is essential to bridging gaps in underserved regions. This project leverages AI-driven solutions to provide real-time demand scores and actionable insights for effective infrastructure planning. Using advanced machine learning models and APIs, the system helps stakeholders prioritize and optimize efforts in these sectors. For education connectivity, the system evaluates indicators like out-of-school rates, enrollment rates, and geographic data to identify regions with inadequate infrastructure. It uses Random Forest models to predict demand and recommend initiatives like building schools, establishing digital learning hubs, or allocating educational resources in high-need areas. In healthcare, the platform incorporates factors like facility type, ownership type, and population density. It assigns weighted scores to calculate demand and leverages K-Means clustering for regional analysis, combined with Gradient Boosting for accurate predictions. This helps recommend expanding networks, upgrading hospitals, or deploying telemedicine in underserved areas. The project features a user-friendly frontend visualization tool built with React and Google Maps APIs. Users can interactively select regions on a map, view demand scores, explore clusters, and access recommendations in real time. A key highlight is the LLM-based recommendation engine, which generates tailored suggestions based on real-time data. For education, it may suggest building schools or launching e-learning platforms, while for healthcare, it can recommend facility upgrades or mobile healthcare units. These recommendations adapt dynamically to evolving needs, making the platform a valuable tool for governments, NGOs, and private organizations to drive change. This system showcases the potential of AI and large language models in improving infrastructure, fostering inclusivity, and addressing challenges in global healthcare and education.

Lokahi Care Platform

Lokahi Care Platform

LokahiCare revolutionizes healthcare by integrating cutting-edge AI with user-centric design. The platform ensures the verification of medical professionals and clinics, guaranteeing trust and reliability for users. It facilitates seamless video consultations with verified healthcare providers, equipped with collaborative whiteboards for real-time visual explanations. Users can enjoy the convenience of remote care without leaving home, avoiding hospital queues with an efficient booking system, while staying connected to their doctors. LokahiCare offers advanced AI tools to detect diseases like Lung Cancer, Tuberculosis, COVID-19, and Pneumonia from medical images, with plans to add more models in the future. The platform empowers healthcare professionals to train their own disease detection models directly on the website using only Web GPU, leveraging MobileNet and cross-entropy loss for efficient transfer learning. This feature, built with ml5.js and TensorFlow.js, allows professionals to create custom AI models for specialized needs. Additional features include diabetes risk prediction based on the American Diabetes Association (ADA) Risk Test and an OCR-based medical document explainer that transforms medical reports into interactive insights. The platform also supports mental health with an AI therapist chatbot, alongside a general-purpose chatbot for navigation and support all with multi-language. LokahiCare ensures accessibility, privacy, and innovation. By bridging gaps in remote care, diagnostics, and healthcare equity, LokahiCare improves health outcomes, reduces disparities, and makes healthcare more inclusive and cost-effective for patients and professionals alike. This is more than just a demo LokahiCare is a transformative platform with the potential to connect hospitals and streamline healthcare processes globally. All AI services are readily available within a single, unified platform, eliminating the need to switch between tools or systems.