Integrating ChatGPT using PHP and Vector Databases with Daniel Archer
In this talk, Daniel and Roland will explore an innovative approach to integrating the sophisticated language model, ChatGPT, within a PHP application, leveraging the power of RabbitMQ and vector databases to create a highly scalable and efficient solution. The presentation will showcase the design and implementation of a cutting-edge chatbot, demonstrating real-time natural language processing and AI-driven interactions, while maintaining optimal performance levels. Attendees will learn how to effectively set up a PHP application that communicates with ChatGPT's API, using RabbitMQ to manage high-volume context training.
About Daniel Archer:
I’m a Senior PHP Developer with over 12 years of experience in delivering exceptional software solutions. I am passionate about clean code, design patterns, and performance. With a strong background in software architecture, optimization, refactoring, microservices, and message systems, I am proficient in Laravel, Symfony, Git, MySQL, AWS, Docker, and Unit Tests. My journey in the tech industry began with a Technology Systems Analysis degree in 2011, and I quickly became a sought-after PHP Developer. I have since worked with prominent companies such as Ubisoft, MindGeek, and Three Ireland (Telecom), making significant contributions to high-scale and high-availability systems. Currently based in Dublin, Ireland
twitter: @danielPHP
linkedIn: / daniel-archer
github: https://github.com/danielarcher
Link to Daniel Archer´s Project: https://packagist.org/packages/simple...
Timestamps:
00:00:00 Welcome and introduction of Daniel Archer
00:04:20 Agenda
00:06:20 Problem Statement and Goals
00:17:20 Start of the Coding Session
00:17:55 PHP Project Template by Daniel Archer
00:20:30 OpenAI Chat vs Completion and examples for both
00:28:00 Adjusting roles and objects
00:34:00 Tokens: Open AI Pricing for ChatGPT 3.5 & 4
00:52:40 Claude.AI 100k Token Limit
00:56:40 What is a Token? How GPT turns Words into numbers
01:00:00 Embeddings: How the language model turns Sentences into vectors
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
Hier geht es zu unseren Social-Media-Kanälen:
► Patreon: / nevercodealone
► Twitter: / nevercodealone
► Instagram: / nevercodeal. .
► LinkedIn: / neve. .
► Facebook: / nevercodealone
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
Das sind unsere Webseiten:
► Never Code Alone bietet kostenlose und kommerzielle live Coding Events und PHP Kurse für Fortgeschrittene an und unterstützt soziale Projekte https://nevercodealone.de
► TESTIFY - Agentur für Website Testing mit Cypress.IO und dem Codeception Testing Framework https://testify.team/
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
Du möchtest Never Code Alone unterstützen?
Dann lass uns gerne ein Abo da und schreibe deine Fragen und/oder Anregungen in die Kommentare.
Danke fürs zuschauen!
Ich hoffe das Video hat dir gefallen.
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
Kontakt: [email protected]