filmov
tv
PARAMETERS/PROMPTING/FEW SHOT LEARNING(LLAMA, GPT, STABLE DIFFUSION, ETC)
Показать описание
This video will give you the quick n dirty intro to getting your model to give you the outputs you want. Focusing on creating prompts, adding examples (few shot learning), and finally changing parameters. The google doc has a quick summary and overview.
0:25:24
PARAMETERS/PROMPTING/FEW SHOT LEARNING(LLAMA, GPT, STABLE DIFFUSION, ETC)
0:03:46
Zero-shot, One-shot and Few-shot Prompting Explained | Prompt Engineering 101
0:04:50
Building Better Large Language Models - Key Concepts for Prompting and Fine Tuning
0:15:35
Fine-tuning LLMs with PEFT and LoRA
0:59:52
Simple Explanation of Large Language Models Applications | Learn Prompt Engineering
0:29:40
Prompt Engineering using Llama-2 model
0:11:52
Quickly Generate Prompts with LLMs in Automatic1111 WebUI or Forge
0:59:21
PRIISM Seminar: Chris Barrie | Prompt Stability Scoring for Text Annotation w/ Large Language Models
0:07:54
How ChatGPT Works Technically | ChatGPT Architecture
0:28:57
Lessons From Fine-Tuning Llama-2
0:15:26
Language Models are Few-Shot Learners -- GPT-3 Paper
0:03:23
Understand PROMPT Formats: (IN 3 Minutes!!)
0:59:35
Building with Instruction-Tuned LLMs: A Step-by-Step Guide
1:15:56
LLaMA-Adapter: Fine-Tuning [Live Paper Study]
0:21:41
How to Improve LLMs with RAG (Overview + Python Code)
0:08:37
StableLM: The New Best Open Source Base Models For GPT Apps!
0:14:39
LoRA & QLoRA Fine-tuning Explained In-Depth
3:19:26
Gen AI Course | Gen AI Tutorial For Beginners
0:00:16
Testing Stable Diffusion inpainting on video footage #shorts
0:23:07
Supercharging ComfyUI: Integrating LLMs with Ollama for Advanced and enhanced prompts.
0:36:58
QLoRA—How to Fine-tune an LLM on a Single GPU (w/ Python Code)
0:09:38
Why Large Language Models Hallucinate
1:18:00
Fireside Chat: LLaMA Adapter
1:07:19
Zeta Alpha Trends in AI - October 2023 - GPT-4V, Optimization by PROmpting, LLMs for Search ...
Комментарии