Llama 3 AI technology page Top Builders

Explore the top contributors showcasing the highest number of Llama 3 AI technology page app submissions within our community.

Meta Llama 3: Empowering AI Innovation

Explore Meta Llama 3, the next generation of state-of-the-art open-source large language models, offering groundbreaking features and enhanced performance.

General
AuthorMeta Llama 3
Repositoryhttps://github.com/meta-llama/llama3
TypeLLM

Key Features

  • State-of-the-Art Performance: Meta Llama 3 introduces new 8B and 70B parameter models, establishing a new state-of-the-art for large language models at those scales.
  • Model Architecture: Meta Llama 3 adopts a relatively standard decoder-only transformer architecture, with several key improvements over previous versions, including a tokenizer with a vocabulary of 128K tokens for more efficient language encoding.
  • Training Data: Meta Llama 3 is pretrained on over 15T tokens collected from publicly available sources, ensuring high-quality training data for optimal model performance.
  • Scaling Up Pretraining: Efforts have been made to scale up pretraining in Meta Llama 3 models, with detailed scaling laws developed for downstream benchmark evaluations.
  • Instruction Fine-Tuning: Meta Llama 3 innovates on instruction fine-tuning approaches to fully unlock the potential of pretrained models in chat use cases.

Start building with Meta Llama 3's products

Discover the capabilities of Meta Llama 3 and unlock new possibilities in AI development. Dive into our offerings and experience the power of cutting-edge language models at your fingertips.

List of Meta Llama 3's products

Llama 3 Models

Meta Llama 3 models are available on various cloud platforms, including AWS, Google Cloud, and Microsoft Azure, offering unparalleled performance and scalability. With support from leading hardware platforms, Meta Llama 3 sets a new standard for large language models.

Trust and Safety Tools

We are committed to developing Meta Llama 3 responsibly and offer a range of trust and safety tools, including Llama Guard 2, Code Shield, and CyberSec Eval 2, to ensure responsible usage of our models.

Meta AI Assistant

Built with Llama 3 technology, Meta AI is one of the world's leading AI assistants, offering intelligence augmentation and productivity enhancement across various tasks. Try Meta AI today and experience the future of AI assistance.

System Requirements

Meta Llama 3 8B and 70B models represent the beginning of a series of releases, with plans for models exceeding 400B parameters and new capabilities such as multimodality and multilingual conversation support. Stay tuned for detailed research papers and further advancements in Meta Llama 3 technology.

Llama 3 AI technology page Hackathon projects

Discover innovative solutions crafted with Llama 3 AI technology page, developed by our community members during our engaging hackathons.

AI-Driven Zabbix for School Networks

AI-Driven Zabbix for School Networks

Our project integrates AI with Zabbix to develop an intelligent network monitoring and diagnostic system tailored for educational institutions. Schools rely heavily on stable internet connectivity for digital learning, online assessments, and cloud-based applications. However, network issues such as downtime, high latency, or bandwidth constraints can disrupt these activities. To address this, we enhance Zabbix with AI-powered analysis using Orca Mini and GPT-4. Our system detects, analyzes, and diagnoses network problems in real time, providing automated insights and recommendations to IT administrators. The AI assistant runs on Windows, communicating with a Zabbix server on Ubuntu via SSH, ensuring seamless interaction between AI and network monitoring tools. When an issue arises, Zabbix detects the alert, and the AI assistant processes logs, configurations, and network metrics to determine potential root causes. It then generates detailed recommendations for resolution, helping IT teams act faster and prevent prolonged downtime. The system also supports predictive analytics, identifying trends that may lead to future network failures and suggesting proactive solutions. This AI-enhanced network management drastically reduces IT workload, optimizes resource allocation, and ensures continuous, high-quality connectivity for students, teachers, and administrators. By making network troubleshooting faster and smarter, our project empowers schools with self-healing, AI-driven infrastructure that supports modern education and digital transformation. 🚀

LafeAINet

LafeAINet

LafeAINet is a comprehensive network monitoring platform designed to address connectivity challenges in Timor-Leste. Our solution transforms scattered social media complaints into structured, actionable data through three integrated components. LafeAINet-Report provides a simple mobile-friendly interface for citizens to submit network quality reports, automatically capturing speed, location, and provider data. LafeAINet-Analyzer processes these reports using Llama 3.3 70B AI to generate quality scores and sentiment analysis. LafeAINet-Dashboard visualizes this data through interactive maps and provider comparisons, revealing connectivity gaps across regions. By creating transparency and accountability in telecommunications infrastructure, LafeAINet empowers multiple stakeholders: citizens gain a voice in service improvement, providers identify priority areas for network enhancement, and government officials access evidence for policy decisions. The platform's user-friendly design ensures accessibility even in low-connectivity areas, encouraging widespread participation. Our solution addresses a critical development barrier in Timor-Leste, where reliable internet is essential for education, healthcare, business, and government services. Through data-driven insights, LafeAINet contributes to more equitable digital access, supporting the nation's broader economic and social development goals while creating a replicable model for other emerging markets facing similar connectivity challenges.