The Future Of Software engineering and AI: What YOU can do about it
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Louis Sanna
@LouisSanna
I'm a Tech Lead with a decade of experience in startups and consulting.
I've built GenAI applications for international organizations and private companies, transforming their internal process.
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Building the Ideal AI Agent: From Async Event Streams to Context-Aware State Management
Dec 10th 2024courses
Responsive LLM Applications with Server-Sent Events
Large Language Models are reshaping industries, yet integrating them into real-time streaming UIs presents unique challenges. In this course we will learn how to seamlessly integrate LLM APIs into applications and build AI-powered streaming text and chat UIs with TypeScript, React, and Python. Step-by-step, we will build a full-stack AI application with quality code and very flexible implementation. The LLM application in this course includes: - Completion Use-Case (english to emojis) - Chat - Retrieval Augmented Generation use-case - AI Agent Use-Cases (code execution, data-Analyste agent) This app can be used as a starting point in most projects, saving a huge amount of time, and its flexibilty allows new tools to be added as needed. At the end of this course, you will have mastered end-to-end implementation of a flexible and high-quality LLM application. This course will also equip you with the knowledge and skills necessary to create sophisticated LLM solutions of your own.Sep 10th 2024books
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