How to evaluate large language models using Prompt Engineering | Testing and Improving with PyTorch — Pagall

How to evaluate large language models using Prompt Engineering | Testing and Improving with PyTorch

Click a thumbnail to watch in a lightweight modal. (No downloads — view only.)

How to evaluate large language models using Prompt Engineering | Testing and Improving with PyTorch
How to evaluate large language models using Prompt Engineering Testing and Improving with PyTorch
Master LLMs: Top Strategies to Evaluate LLM Performance
How To Evaluate Large Language Models Using Prompt Engineering | Testing And Improving With PyTorch
How to evaluate and choose a Large Language Model
How To Evaluate Large Language Models Using Prompt Engineering | Testing And Improving With PyTorch
How to Build Large Language Model using Pre-Trained Language Models with Prompt Engineering | OpenAI
How to Build Large Language Model using Pre Trained Language Models with Prompt Engineering OpenAI
Prompt Engineering ⚙️ - Addressing the sensitivity of Large language models | PyData NYC 2022
Prompt Engineering ⚙️ Addressing the sensitivity of Large language models PyData NYC 2022
Generative AI with Large Language Models: Hands-On Training feat. Hugging Face and PyTorch Lightning
Generative AI with Large Language Models: Hands On Training feat. Hugging Face and PyTorch Lightning
Large Language Models Are Human-Level Prompt Engineers
Large Language Models Are Human Level Prompt Engineers (Automatic Prompt Engineer APE)
Python + AI: Large Language Models
How To Evaluate Large Language Models Using Prompt Engineering | Testing And Improving With PyTorch
Building Better Large Language Models - Key Concepts for Prompting and Fine Tuning
Building Better Large Language Models Key Concepts for Prompting and Fine Tuning
Google's 9 Hour AI Prompt Engineering Course In 20 Minutes
How To Evaluate Large Language Models Using Prompt Engineering | Testing And Improving With PyTorch
Context Engineering vs. Prompt Engineering: Smarter AI with RAG & Agents
Context Engineering vs. Prompt Engineering: Smarter AI with RAG Agents
Lesson 5 of Prompt Engineering: Evaluating & Refining Prompts
Lesson 5 of Prompt Engineering: Evaluating Refining Prompts
Prompt Engineering Tutorial – Master ChatGPT and LLM Responses
How To Evaluate Large Language Models Using Prompt Engineering | Testing And Improving With PyTorch
Become a ChatGPT Prompting Expert: Advanced Techniques | Large Language Models
Become a ChatGPT Prompting Expert: Advanced Techniques Large Language Models
Prompt Engineering: How to Trick AI into Solving Your Problems
How To Evaluate Large Language Models Using Prompt Engineering | Testing And Improving With PyTorch
Prompt Engineering - Understanding Large Language Models with ChatGPT
Prompt Engineering Understanding Large Language Models with ChatGPT
Prompt engineering essentials: Getting better results from LLMs | Tutorial
Prompt engineering essentials: Getting better results from LLMs Tutorial
Evaluating the Output of Your LLM : Insights from Microsoft & LangChain
Evaluating the Output of Your LLM (Large Language Models): Insights from Microsoft LangChain
RAG vs Fine-Tuning vs Prompt Engineering: Optimizing AI Models
RAG vs Fine Tuning vs Prompt Engineering: Optimizing AI Models