🔅 Complete Guide to Evaluating Large Language Models (LLMs)

🌐 Author: Sinan Ozdemir
🔰 Level: Intermediate

⏰ Duration: 7h 56m

🌀 Equip yourself with the knowledge and skills to assess LLM performance effectively.

📗 Topics: Retrieval-Augmented Generation, Large Language Models, Artificial Intelligence

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📂 Full denoscription

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.

📱Artificial intelligence
📱Complete Guide to Evaluating Large Language Models (LLMs)

📱Artificial intelligence
📱Complete Guide to Evaluating Large Language Models (LLMs)

📱Artificial intelligence
📱Complete Guide to Evaluating Large Language Models (LLMs)

📱Artificial intelligence
📱Complete Guide to Evaluating Large Language Models (LLMs)

📱Artificial intelligence
📱Complete Guide to Evaluating Large Language Models (LLMs)

📱Artificial intelligence
📱Complete Guide to Evaluating Large Language Models (LLMs)

📱Artificial intelligence
📱Complete Guide to Evaluating Large Language Models (LLMs)

📱Artificial intelligence
📱Complete Guide to Evaluating Large Language Models (LLMs)

📱Artificial intelligence
📱Complete Guide to Evaluating Large Language Models (LLMs)

📱Artificial intelligence
📱Complete Guide to Evaluating Large Language Models (LLMs)

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▪️ Github

Update - another 300 ready solutions: https://github.com/kossakovsky/n8n-installer