LLM Techniques

0:45:32

A Survey of Techniques for Maximizing LLM Performance

0:05:34

How Large Language Models Work

0:04:17

LLM Explained | What is LLM

0:08:33

What is Prompt Tuning?

0:17:23

AI How To: Advanced LLM Prompting

0:41:36

Prompt Engineering Tutorial – Master ChatGPT and LLM Responses

0:09:36

How to Improve your LLM? Find the Best & Cheapest Solution

0:06:36

What is Retrieval-Augmented Generation (RAG)?

0:54:05

LLMs | Efficient LLM Decoding-I | Lec15.1

0:06:42

LLM Evaluation Techniques

0:09:44

Large Language Models Explained | What Is Large Language Model (LLM) | Machine Learning |Simplilearn

0:09:19

More Agents Is All You Need - New very interesting Large Language (LLM) Paper

0:15:35

Fine-tuning LLMs with PEFT and LoRA

0:30:15

Mastering Summarization Techniques: A Practical Exploration with LLM - Martin Neznal

0:03:17

How to evaluate and choose a Large Language Model (LLM)

0:10:36

LLM vs NLP | Kevin Johnson

0:07:54

How ChatGPT Works Technically | ChatGPT Architecture

0:08:45

Advanced Prompt Engineering Techniques - Master ChatGPT and LLM

0:09:38

Why Large Language Models Hallucinate

0:04:33

6 Powerful Techniques to Reduce LLM Hallucination with Examples | 5 Mins

0:20:05

Finetuning Open-Source LLMs

0:32:55

Part 1-Road To Learn Finetuning LLM With Custom Data-Quantization,LoRA,QLoRA Indepth Intuition

0:03:34

Understand the basics of LLM training in under four minutes!

1:00:40

Mitigating LLM Hallucinations with a Metrics-First Evaluation Framework