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LLMs Unlocked Open Source and ChatGPT, No Code Low Code

Discover the World of Large Language Models with Open Source Models like LLama3 and ChatGPT

Alle Stufen13 VorträgeLebenslanger Zugriff
Dan We

Verifizierter Meister-Dozent

LLMs Unlocked Open Source and ChatGPT, No Code Low Code
ANHÄNGER
Treffen Sie Ihren Lehrer: Dan We

18 ms

5.0 / 5.0
Globale Bewertung
2
Aktive Studenten
1 Std. 58 Min.
Gesamtinhalt

Was Sie lernen werden

How to run open source llm models completely local and private
How to run open source llm models like llama3 completely free
How to use the local api endpoints of open source llms in python
How to work with the chatgpt api endpoint in python

Kursinhalt

1 Abschnitte13 Vorträge01:58:47 Gesamtlänge

Download the required Software for the course

04:31

No code chat with open source models locally for free

10:06

Running open source models without code locally in the command line

05:26

Openai API preparations

03:42

Download python and set env variable in your code editor

Kostenlose Vorschau
04:05

Exploring the local Server API endpoint of our open source model

12:51

A different way to use local server api endpoint for open source llms with pyt

08:53

Open Source LLM streaming responses locally with python api calls

09:12

Exploring the official openai api endpoint using python

10:21

Streaming openai chatgpt responses with python low code

07:41

Introduction to function calling with ChatGPT models in python

22:00

Open source llama3 model with web interface in python

13:35

Running No code open source llms locally

06:17
Wöchentlicher Lernplan
Planen Sie Ihre Lernreise
KI erstellt einen personalisierten Zeitplan basierend auf Ihrer Verfügbarkeit

Anforderungen

Python knowledge for the low coding part is helpful but not necessaril required

To follow along with the openai ChatGPT part there is a sign up and a $5 credit payment required (credit card)

All other open source models and software is completely free

Zielgruppe

Everyone interested in running open source llms locally

Everyone interested in running open source llms private

Everyone interested in running open source llms completly free

Everyone interested in getting started with low code (a little bit of python) API endpoints of LLMs

Über diesen Kurs

"In today's digital age, you're likely familiar with ChatGPT - a name synonymous with powerful language models.


Welcome to the captivating world of Large Language Models (LLMs)!

This course takes you on an exploratory journey through the LLM landscape, no code as well as low code powered by Python. We delve into not only open-source models but also the official ChatGPT API.


Utilizing free additional software, we enable the operation of these models locally without the need for an internet connection. This allows you to experiment with various models, both with and without coding (please note the hardware requirements).

Discover how some open-source models, like Google’s Gemma:7b or Llama3, can deliver astonishing results. We also examine the industry leader, OpenAI, and its efficient GPT models (ChatGPT), which not only promise top-notch performance but are also cost-effective (see course prerequisites for a starting credit of $5).


We'll familiarize you with fetching responses in both batch and streaming modes.


As a grand finale, we'll jointly develop a small web frontend (using Streamlit) for our streaming LLM API.


No prior experience is required, though basic Python knowledge is helpful. This course is tailored for beginners and includes both low-code (minimal Python coding) and no-code options.


Are you ready to dive into the exciting world of Artificial Intelligence and explore the capabilities of LLMs? Join us on this exhilarating journey and gain valuable insights. More details are available in the course prerequisites."

Karrierechancen & Zielpositionen

Entwickeln Sie praxisnahe, arbeitsmarktrelevante Fähigkeiten für gefragte Positionen

Praxisorientierter Lehrplan
Zielpositionen, für die Sie sich qualifizieren

Full Stack Software Engineer

Backend Systems Developer

Frontend Application Specialist

Automation & Scripting Engineer

Geschätztes Jahresgehalt
$90,000 – $145,000 / yr
Globale Branchennachfrage

High Global Tech Demand

Gefragte Kernkompetenzen
Production Code Architecture
RESTful & Modern API Design
State Management & UI Scaling
Debugging & Automated Testing
* Schätzungen basieren auf weltweiten Branchenberichten und Vergütungsstandards.
Lernen Sie Ihren Dozenten kennen
Dan We
5.0 Bewertung
2 Studenten
Vollständiges Profil anzeigen
Dan We
Hauptlehrer
Welcome to The World of AI!
Dan is a 33 year old entrepreneur ,data enthusiast consultant and trainer. He holds a master degree and is certified in Power BI, Tableau, Alteryx (Core and Advanced) and KNIME (L1-L3). He is currently working in Business Intelligence field and helps companies and individuals to get key insights from their data to deliver long term growth and outpace their competitors. He has a passion for learning and teaching and is committed to support other people, by offering them educational services to help them accomplishing their goals and becoming the best in their profession or explore a new career path. "The dots will connect" Just do it!...

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