Mixtral Courses and Certifications

Trelis Research

Mixtral Fine-Tuning and Inference - Advanced Guide

Explore Mixtral's advanced capabilities, from fine-tuning to inference. Master function calling, 4-bit quantization, and efficient model deployment for enhanced AI performance.

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

Data Centric

Deploy Mixtral - Quick Setup for LangChain, AutoGen, Haystack, and LlamaIndex

Learn to deploy Mixtral quickly using Runpod and vLLM, create an OpenAI-like endpoint, and integrate it with LangChain for a chatbot. Explore setup for other frameworks like AutoGen and Haystack.

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

Data Centric

Comparing Open Source AI Agents to Perplexity AI - Testing Codestral, GPT4o, and Mixtral

Benchmark open-source AI models against Perplexity AI using a custom web search agent. Compare Codestral, Mixtral, and GPT4o performance in handling complex queries and multi-hop questions.

• YouTube
• 1 hour 37 minutes
• On-Demand
• Free Video

Generative AI on AWS

Pre-training Mixtral MoE Model with SageMaker HyperPod - Fine-Tuning and Continued Pre-Training

Master advanced techniques for pre-training and fine-tuning Mixtral MoE models using AWS SageMaker HyperPod and SLURM, covering implementation strategies and continued pre-training approaches.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

Hardware, Software, Performance and Costs for Llama-2 70b and Mixtral 8x7b LLM Inference with Low Concurrency

Explore hardware, software, performance, and costs for running Llama-2 70b and Mixtral 8x7b LLM inference. Compare on-premises and cloud options, with insights on speed, cost, and setup for small organizations.

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

Neural Breakdown with AVB

Visually Explaining Mixture of Experts LLMs like DeepSeek and Mixtral - How to Code

Dive into the visual explanation of Mixture of Experts (MOE) Transformers powering modern LLMs like DeepSeek and Mixtral, covering key concepts from routing mechanisms to expert capacity with code examples.

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

Demystifying Mixtral of Experts - Stanford CS25 Lecture

Explore Mixtral 8x7B, a Sparse Mixture of Experts model, with Albert Jiang. Learn about its architecture, expert routing, and how it processes 47B parameters while using only 13B during inference.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Full-Stack AI with Ollama: Llama, Deepseek, Mistral, QwQ

213 ratings at Udemy

Build AI Apps with Open-Source Models: NLP, Chatbots, Code Generation, Summarization, Automation & More(AI)

• Udemy
• 4 hours
• On-Demand
• Paid Course

Coursera

Foundations of Open Generative AI Engineering

Discover the principles and architectures of open generative AI models, from licensing frameworks to performance trade-offs, and develop skills to select the right model for your needs.

• Coursera
• 2 hours 27 minutes
• On-Demand
• Paid Course

Yannic Kilcher

Mixtral of Experts - Paper Explained

Explore Mixtral 8x7B, a Sparse Mixture of Experts language model outperforming larger models. Learn about its architecture, expert routing, parallelism, and impressive benchmark results.

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

James Briggs

Deploying Mixtral 8X7B - An Open AI Agent for Advanced NLP Tasks

Explore deploying Mixtral 8X7B, an impressive open-source LLM outperforming GPT-3.5. Learn setup, prompt formatting, agent capabilities, and integration with RAG for enhanced AI applications.

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

echohive

Comparing Llama 3, Mixtral, and WizardLM Models in a Reasoning Test

Comparative analysis of large language models' reasoning capabilities, featuring performance tests and code explanations for AI enthusiasts and developers.

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

Donato Capitella

Building LLM Agents - PAL, ReAct, and LangChain Implementation Guide

Master building LLM agents using PAL and ReAct paradigms, implement custom solutions and Langchain framework, and explore various language models while learning function calling and operational loops.

• YouTube
• 1 hour 10 minutes
• On-Demand
• Free Video

Neural Breakdown with AVB

DSPy Tutorial - Programming Language Models with 8 Key Examples

Master DSPy framework through 8 practical examples, from basic QA to advanced LLM programming concepts like RAG, multi-hop reasoning, and model fine-tuning with popular language models.

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

Trelis Research

Mistral Large vs GPT-4: Practical Benchmarking and LLM Evaluation

Explore practical benchmarking of Mistral Large vs GPT4. Compare performance, run custom evaluations, and gain insights into LLM capabilities for informed decision-making.

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