Prompt Engineering with Open Source LLMs - Setup Machine & HuggingFace Token | Part 8

  Рет қаралды 147

Analytics Vidhya

Analytics Vidhya

28 күн бұрын

In this video, we'll show you how to perform inference with open source Large Language Models or LLMs in Python. Model is pulled from Huggingface using Transformers library. Through effective Prompt Engineering, we illicit desired output. Whether you're a beginner or experienced, you can follow along on this step-by-step guide.
---------------------------------------------------------
Generative AI Pinnacle Program 🔥
---------------------------------------------------------
Build a Career in Gen AI - without leaving your job:
✅ 200+ hours of learning
✅ 10+ real-world projects
✅ 1:1 mentorship
✅ 75+ sessions
Know More 🔗 bit.ly/3wlIIGz
This comprehensive course video condenses everything you need to know.
#promptengineering #ai #opensource

Пікірлер
OpenAI Embeddings and Vector Databases Crash Course
18:41
Adrian Twarog
Рет қаралды 410 М.
OMG😳 #tiktok #shorts #potapova_blog
00:58
Potapova_blog
Рет қаралды 4,2 МЛН
MEGA BOXES ARE BACK!!!
08:53
Brawl Stars
Рет қаралды 35 МЛН
FINALLY! Open-Source "LLaMA Code" Coding Assistant (Tutorial)
7:21
Matthew Berman
Рет қаралды 128 М.
Unlimited AI Agents running locally with Ollama & AnythingLLM
15:21
How to set up RAG - Retrieval Augmented Generation (demo)
19:52
Don Woodlock
Рет қаралды 16 М.
Introducing DEVIKA - OpenSource AI Software Engineer | Local Install
15:53
Prompt Engineering
Рет қаралды 43 М.
Improving LLM accuracy with Monte Carlo Tree Search
33:16
Trelis Research
Рет қаралды 9 М.
I wish every AI Engineer could watch this.
33:49
1littlecoder
Рет қаралды 59 М.
Developing an LLM: Building, Training, Finetuning
58:46
Sebastian Raschka
Рет қаралды 17 М.
NEW TextGrad by Stanford: Better than DSPy
41:25
code_your_own_AI
Рет қаралды 8 М.
Generative AI in a Nutshell - how to survive and thrive in the age of AI
17:57