In this comprehensive course, AI and LLM expert Sinan Ozdemir shares with you the knowledge and skills to assess LLM performance effectively. Get a detailed introduction to the process of evaluating LLMs, Multimodal AI, and AI-powered applications like agents and RAG. Learn how to thoroughly assess and evaluate these powerful and often unwieldy AI tools so you can make sure they meet your real-world needs. This course prepares you to evaluate and optimize LLMs so you can produce cutting edge AI applications.
This course was created by Pearson. We are pleased to host this training in our library.
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Found a simple and useful resource: a GitHub repository with 200+ free workflows for n8n.
Topics: sales, marketing, financial accounting, coding, and personal productivity.
What is n8n
- Open-source no-code automation tool
- Visual builder: connect blocks to create a process
- Hundreds of integrations: email, CRM, spreadsheets, messengers, webhooks
- You can add your own logic in JavaScript
- Run on schedule or event, works in the cloud or on your own server
How to use:
1) Download the desired workflow (.json) and import it into n8n
2) Insert your API keys and credentials into the blocks
3) Check the steps and enable running by cron or webhook
▪️ Github
Update - another 300 ready solutions: https://github.com/kossakovsky/n8n-installer
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What is RAG? 🤖📚
RAG stands for Retrieval-Augmented Generation.
It’s a technique where an AI model first retrieves relevant info (like from documents or a database), and then generates an answer using that info.
🧠 Think of it like this:
Instead of relying only on what it "knows", the model looks things up first - just like you would Google something before replying.
🔍 Retrieval + 📝 Generation = Smarter, up-to-date answers!
RAG stands for Retrieval-Augmented Generation.
It’s a technique where an AI model first retrieves relevant info (like from documents or a database), and then generates an answer using that info.
🧠 Think of it like this:
Instead of relying only on what it "knows", the model looks things up first - just like you would Google something before replying.
🔍 Retrieval + 📝 Generation = Smarter, up-to-date answers!
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🔅 Fine-Tuning for LLMs: from Beginner to Advanced
🌐 Author: Axel Sirota
🔰 Level: Advanced
⏰ Duration: 3h 25m
📗 Topics: Large Language Models, Generative AI, Fine Tuning
📤 Join Artificial intelligence for more courses
🌀 Gain the expertise you need in Large Language Models (LLMs), a rapidly evolving field in AI, including hands-on practice.
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