Mehmet Ozkaya – Medium

Mehmet Ozkaya

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Generative AI Architectures with LLM, Prompt, RAG, Fine-Tuning and Vector DB

I have just published a new course — Generative AI Architectures with LLM, Prompt, RAG, Fine-Tuning and Vector DB

Nov 18

Generative AI Architectures with LLM, Prompt, RAG, Fine-Tuning and Vector DB

Nov 18

Pinned

💥.NET Backend Bootcamp: Modular Monoliths, VSA, DDD, CQRS and Outbox💥

I have just published a new course — “.NET Backend Bootcamp: Modulith, VSA, DDD, CQRS and Outbox”

Aug 12

💥.NET Backend Bootcamp: Modular Monoliths, VSA, DDD, CQRS and Outbox💥

Aug 12

Pinned

.NET 8 Microservices: DDD, CQRS, Vertical/Clean Architecture

I have just FULLY RENEWED of my course — .NET 8 Microservices: C# 12, DDD, CQRS, Vertical/Clean Architecture.

Mar 18

.NET 8 Microservices: DDD, CQRS, Vertical/Clean Architecture

Mar 18

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Published in
Design Microservices Architecture with Patterns & Principles

Monolithic to Microservices Architecture with Patterns & Best Practices

In this article, we will learn how to Design Microservices Architecture using Design Patterns, Principles, and Best Practices. We will use…

Apr 9, 2023

Monolithic to Microservices Architecture with Patterns & Best Practices

Apr 9, 2023

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Published in
Design Microservices Architecture with Patterns & Principles

Microservices Architecture for Enterprise Large-Scaled Application

In this article, we are going to learn Microservices Architecture and Best Practices when designing any software architecture for our…

Feb 17, 2023

Microservices Architecture for Enterprise Large-Scaled Application

Feb 17, 2023

Choosing the Right Optimization: Prompt Engineering, RAG, and Fine-Tuning

We’re going to explore how to choose the best optimization strategy for your Large Language Model (LLM)-powered applications. As you might…

Nov 20

Choosing the Right Optimization: Prompt Engineering, RAG, and Fine-Tuning

Nov 20

Designing E-Shop Customer Support Using Fine-Tuning

We’re going to delve into how we can enhance the customer support system for our E-Shop by implementing fine-tuning on Large Language…

Nov 20

Designing E-Shop Customer Support Using Fine-Tuning

Nov 20

Fine-Tuning: Why and When to Use

We’re going to explore the concept of Fine-Tuning in the context of Large Language Models (LLMs). Fine-tuning is a powerful technique that…

Nov 20

Fine-Tuning: Why and When to Use

Nov 20

Designing E-Shop Customer Support Using RAG

We’re going to explore how to design an E-Shop customer support system using Retrieval-Augmented Generation (RAG). In the fast-paced world…

Nov 20

Designing E-Shop Customer Support Using RAG

Nov 20

E2E Workflow of a Retrieval-Augmented Generation (RAG)

We’re going to explore the end-to-end (E2E) workflow of Retrieval-Augmented Generation (RAG). In our previous discussions, we’ve delved…

Nov 20

E2E Workflow of a Retrieval-Augmented Generation (RAG)

Nov 20

Mehmet Ozkaya

Mehmet Ozkaya

Software Architect | Udemy Instructor | AWS Community Builder | Cloud-Native and Serverless Event-driven Microservices https://github.com/mehmetozkaya

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