Llama 3.1 Courses and Certifications

Discover AI

Transfer Reasoning to Llama 3.1 - Chess AI

Explore how to transfer advanced reasoning capabilities from large language models to smaller, more efficient versions using chess AI as a practical example.

• YouTube
• 30 minutes
• On-Demand
• Free Video

The Machine Learning Engineer

Introduction to NVIDIA NIM Inference and LLama 3.1 405b Instruct - Data Science and Machine Learning

Explore NVIDIA AI platform, NIM microservices for generative AI deployment, and preview Meta's LLama 3.1 405b Instruct model.

• YouTube
• 20 minutes
• On-Demand
• Free Video

The Machine Learning Engineer

Introducción a NVIDIA NIM Inference y LLama 3.1 405b Instruct

Explora la Plataforma NVIDIA AI, los microservicios NIM y el SDK. Aprende a utilizar el modelo LLama 3.1 405b Instruct de Meta para inferencia avanzada en machine learning.

• YouTube
• 22 minutes
• On-Demand
• Free Video

Anyscale

Productionizing LLMs at Scale for Real-World Commerce

Discover how Mirakl built an AI-powered catalog onboarding system using fine-tuned LLMs, covering architecture choices, LoRA adapters, elastic autoscaling, and cost optimization strategies for e-commerce applications.

• YouTube
• 25 minutes
• On-Demand
• Free Video

Elvis Saravia

Mistral Large 2 vs. Llama 3.1 405B - A Comparative Analysis

Comparative analysis of Mistral Large 2 and Llama 3.1 405B, exploring performance, capabilities, and potential applications in AI and machine learning.

• YouTube
• 22 minutes
• On-Demand
• Free Video

James Briggs

Local LangGraph Agents with Llama 3.1 and Ollama - Building a Pizza Recommendation Agent

Build a local pizza recommendation agent using LangGraph, Ollama, and Llama 3.1. Learn to integrate Reddit API, create agent nodes, and construct an AI graph for personalized suggestions.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Krish Naik

End-to-End Multi AI Agents RAG with LangGraph, AstraDB, and Llama 3.1

Explore multi-agent AI systems using LangGraph, AstraDB, and Llama 3.1. Learn to build advanced RAG applications with vector databases and open-source models.

• YouTube
• 46 minutes
• On-Demand
• Free Video

Meta's Llama 3.1, Mistral Large 2, and the Rise of Small AI Models

Experts discuss Meta's Llama 3.1, Mistral Large 2, and the growing interest in smaller AI models, analyzing their impact on the AI industry and potential future developments.

• YouTube
• 20 minutes
• On-Demand
• Free Video

Venelin Valkov

Build Web Scraper with Llama 3.1 - Get Structured Data by Scraping Web Content with AI

Learn to build a web scraper using Llama 3.1 AI to extract structured data from web pages. Create Pydantic models from markdown content, ideal for developers seeking efficient data extraction techniques.

• YouTube
• 16 minutes
• On-Demand
• Free Video

Dan Vega

Getting Started with Ollama, Llama 3.1 and Spring AI

Learn to run open-source LLMs locally with Ollama, use Meta's latest Llama 3.1 model, and integrate it into Spring applications using Spring AI for powerful language processing capabilities.

• YouTube
• 18 minutes
• On-Demand
• Free Video

Venelin Valkov

Build an AI Social Media Content Generator with LangGraph and Llama 3.1 - Tutorial

Transform technical content into engaging social media posts using LangChain and Groq. Build a multi-agent AI system, generate and refine content, implement AI-driven critiques, and visualize workflows with LangGraph.

• YouTube
• 20 minutes
• On-Demand
• Free Video

MattVidPro AI

Llama 3.1 405B Deep Dive - The Best Open Source LLM

Explore Meta's open-source LLAMA 3.1 LLMs, including the 405B model. Compare performance with closed-source models, evaluate capabilities, and learn how to use these AI advancements locally.

• YouTube
• 33 minutes
• On-Demand
• Free Video

Mervin Praison

Fine-Tuning and Deploying LLaMA 3.1 on Hugging Face and Ollama

Step-by-step guide to fine-tune LLaMA 3.1 with custom data, save on Hugging Face and Ollama, and deploy for enhanced AI performance tailored to specific business needs.

• YouTube
• 15 minutes
• On-Demand
• Free Video

Python Simplified

NVIDIA NIM for Beginners - Creating a Llama 3.1 Dataset Generator App

Explore NVIDIA NIM platform to create a Llama 3.1 Powered Application. Learn about microservices, APIs, and build a custom Dataset Maker App using Python, suitable for beginners and professionals alike.

• YouTube
• 19 minutes
• On-Demand
• Free Video

Elvis Saravia

LLM News: Llama 3.1, Self-Improving Agents, and Recent AI Developments

Explore latest AI advancements: Llama 3.1, self-improving agents, text-to-SQL, multi-LLM systems, and GPT-4 fine-tuning. Stay updated on cutting-edge developments in machine learning and artificial intelligence.

• YouTube
• 18 minutes
• On-Demand
• Free Video