01.AI's Yi Series Large Language Models

Top Builders

Explore the top contributors showcasing the highest number of app submissions within our community.

Yi Series by 01.AI: Pushing Language Understanding Boundaries

Engineered from scratch by 01.AI developers, the Yi series models stand as a testament to cutting-edge language understanding and processing capabilities.

General
Author	01.AI
Repository	https://github.com/01-ai/Yi
Type	Large Language Models

Yi LLMs Overview

Developers can leverage two standout models within the Yi series, each offering distinct capabilities in language processing:

Yi-34B

This model flaunts exceptional performance across various evaluations such as MMLU and comprehensive LLM assessments. It outperforms larger counterparts like LLaMA2-70B and Falcon-180B while remaining cost-effective for diverse applications.

Yi-6B

With robust language processing abilities, the Yi-6B model plays a crucial role in innovative projects and diverse applications.

Opportunities

01.AI's Yi series models are engineered to cater to developers' needs, offering advanced language processing capabilities for varied applications.

01.AI, founded by AI luminary Kai-Fu Lee, introduces the Yi-34B and Yi-6B models, surpassing performance benchmarks and setting new standards in language understanding.

Reports highlight the Yi series' superior performance compared to larger pre-trained LLMs across benchmarks like common reasoning, reading comprehension, and MMLU. This exceptional performance, combined with cost-effectiveness, positions the Yi series as an optimal choice for diverse use cases.

01.AI aims to democratize AI innovation, providing open access for academic research while requiring permissions for free commercial use. As 01.AI continues to redefine language understanding, the Yi series models serve as a beacon of advancement in the AI landscape.

Yi LLMs Tutorials

Yi LLMs Resources

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Yi-LLMS AI technology page Hackathon projects

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

GenAI Giants

GenAI Giants is an AI-powered platform built to transform learning, developer productivity, and innovation at scale. Our vision is to create inclusive, cloud-native solutions that empower users across India by supporting multiple local languages and bridging the gap between cutting-edge technology and accessibility. By integrating seamlessly with modern developer workflows, IDEs, and CI/CD pipelines, the platform enables faster coding, intelligent automation, and effortless scalability for projects of all sizes. At its core, GenAI Giants is more than a productivity tool—it is a movement to democratize AI knowledge and make advanced technology accessible to everyone, regardless of language or background. We emphasize social impact by fostering collaboration, nurturing talent, and building a community where developers can learn, innovate, and grow together. The platform leverages strategic cloud architecture and multilingual AI capabilities to deliver a robust ecosystem that supports diverse use cases—from education and skill development to enterprise-grade automation. By combining scalability, inclusivity, and innovation, GenAI Giants aims to accelerate digital transformation across industries while ensuring that technology remains accessible to all. Ultimately, our mission is to empower developers and learners with tools that not only enhance productivity but also drive meaningful change. GenAI Giants stands as a bridge between advanced AI and real-world impact, creating opportunities for growth, collaboration, and innovation across India and beyond.

WedPlanAI Smart Wedding Planner

The Wedding AI Planner is an agent-orchestrated planning assistant designed to simplify the complexity of wedding organization through modular, context-aware AI agents. Wedding planning involves multiple interdependent tasks—budgeting, scheduling, vendor coordination, theme selection, and risk management—which makes it an ideal use case for an agentic system rather than a single monolithic model. The application uses a conversational interface to gather user preferences, constraints, and priorities. These inputs are routed through an orchestration layer that coordinates specialized agents, each responsible for a distinct planning domain. Core agents include a Planning Agent for timeline and task sequencing, a Budget Agent for cost allocation and savings strategies, a Theme Agent for aesthetic and cultural alignment, and a Risk Agent that generates contingency plans for last-minute changes. Agent orchestration enables the system to dynamically delegate tasks, share context between agents, and reconcile outputs into a coherent, personalized wedding plan. This approach allows the system to adapt as user inputs evolve, providing structured guidance rather than static recommendations. The project demonstrates how orchestrated AI agents can collaborate to deliver real-world value in consumer services. By combining modular intelligence, conversational interaction, and domain-specific reasoning, the Wedding AI Planner illustrates a scalable foundation for agent-based applications that augment human expertise, reduce planning friction, and improve decision-making quality. The project AI wedding planner simplifies and automates every step of wedding planning, saving couples time and reducing stress. It adapts to user preferences, runs locally, and provides intelligent, personalized recommendations—making complex planning easy, fast, and practical

decentralized-ai-validator

Capability,Description,Examples of Detected Flaws Vulnerability Detection,Analyzes code logic against common attack patterns defined by standards like SWC (Smart Contract Weakness Classification).,"Reentrancy (SWC-107), Integer Overflow/Underflow (SWC-101), Denial of Service (SWC-128)." Code Structure Analysis,"Assesses compliance with security best practices, such as the Checks-Effects-Interactions pattern.","External calls made before state updates, improper use of transfer() vs. call()." Risk and Severity Ranking,"Categorizes findings into quantifiable risk levels (Critical, High, Medium, Low, None) to help developers prioritize fixes.",A Reentrancy bug might be Critical; a missing event emission might be Low. Actionable Recommendations,"For every identified flaw, it must propose specific, technical fixes or mitigation strategies.","""Use the OpenZeppelin ReentrancyGuard,"" or ""Change tx.origin to msg.sender."""

Smart Procurement Co-Pilot

Smart Procurement Co-Pilot is an autonomous agentic AI system that transforms enterprise procurement using IBM watsonx. Unlike traditional automation, our five specialized agents make intelligent decisions independently, reason about complex scenarios using watsonx.ai, and collaborate to execute end-to-end workflows. The Vendor Agent autonomously validates suppliers with 92% confidence scoring. The Requisition Agent checks real-time budgets and optimizes vendor selection. The Compliance Agent enforces policies using LLM reasoning to detect violations. The Approval Agent routes requests through proper hierarchies. The Communication Agent keeps stakeholders informed—all working together seamlessly through IBM watsonx.orchestrate. Built with enterprise-grade security (RBAC, comprehensive audit logging), the system delivers measurable impact: 80% faster vendor onboarding, $500K annual cost savings, 100% compliance enforcement, and 5x productivity gains. With 8,000+ lines of documentation, automated testing, and flexible deployment options (local, IBM Cloud, Streamlit), it's production-ready for mid-market enterprises.

OncoFlow AI

OncoFlow is an AI-powered oncology scheduling product that helps hospitals protect treatment timelines and unlock more clinical capacity, not just fill calendar slots. Built on IBM watsonx Orchestrate, it acts as an agentic copilot for care teams, coordinating doctors, patients, and systems so high-risk treatments stay on track even when availability changes at the last minute. The product is born from a real operational problem we see in cancer hospitals today, oncologists with rigid and shifting availability, schedules managed in spreadsheets and calls, and frequent disruptions like sick calls or equipment outages. When this happens, staff scramble, capacity is wasted, and some high-risk chemotherapy or radiation sessions slip beyond safe windows. That translates directly into poorer outcomes, lower patient satisfaction, and higher stress and overtime for staff. OncoFlow addresses this as a repeatable, deployable solution. A Scheduler Agent optimizes weekly oncology schedules based on doctor constraints, patient demand, and a treatment risk score, then automatically updates calendars. A Disruption Agent responds when a doctor or system is suddenly unavailable, finds safe alternatives, drafts empathetic messages, and escalates edge cases to humans instead of making unsafe decisions. An Orchestrator Agent routes requests between them and uses a PubMed-backed tool to surface oncology research when clinicians ask why a delay is risky, supporting evidence-aware decisions. As a product, OncoFlow-AI is designed to plug into hospital workflows as an AI layer on top of existing systems, reducing manual rescheduling effort, lowering the incidence of dangerous delays for high-risk patients, and improving patient communication. For hospital leadership, this translates into measurable value, better utilization of limited oncology capacity, fewer missed or unsafe treatment windows, and more transparent, defensible scheduling decisions that can scale across sites.

HR Policy Navigator

In today’s fast‑paced workplace, employees expect instant access to information, clarity on policies, and seamless support for administrative needs. Traditional HR support models often rely on email exchanges, ticketing systems, or waiting for office hours to resolve even simple queries. This can lead to delays, frustration, and inefficiencies that ripple across the organization. To address these challenges, the company has introduced a 24/7 self‑service HR agent, a digital companion designed to provide immediate, accurate, and personalized responses to all internal employee questions related to company policies, benefits, and administrative procedures. This agent is not just another chatbot. It is a sophisticated system powered by natural language processing (NLP) and connected directly to the company’s most authoritative sources of truth: the Employee Handbook and the internal HR knowledge base. By combining advanced language understanding with curated organizational data, the agent ensures that employees receive the most reliable and up‑to‑date answers to their questions, whenever they need them.