AI Developer

AI Developer

As an AI Developer, I design and implement AI systems.

16 posts
Retrieval-Augmented Generation (RAG): The Key to Smarter AI Responses

Retrieval-Augmented Generation (RAG): The Key to Smarter AI Responses

Introduction Retrieval-Augmented Generation (RAG) is an advanced technique in natural language processing that enhances language models by enabling them to retrieve external information in real time. This leads to more accurate and context-aware responses, making RAG ideal for tasks that require up-to-date or domain-specific knowledge, such as customer support, enterprise...

How to Create a New Next.js Project: A Step-by-Step Guide
Academy Membership Next.js

How to Create a New Next.js Project: A Step-by-Step Guide

Introduction Next.js is a powerful React framework that enables developers to build fast, scalable web applications with server-side rendering, static site generation, and API routes—all out of the box. Whether you're building a personal blog or an enterprise-grade application, Next.js offers the flexibility and performance...

How to Containerize a Gradio App with Docker: A Step-by-Step Guide
Academy Membership GradioDocker

How to Containerize a Gradio App with Docker: A Step-by-Step Guide

Introduction Building and deploying machine learning apps can sometimes be a complex task, but using Gradio, a Python library for quickly building interactive web apps for your ML models, simplifies it significantly. To make your app easily deployable across different environments, containerizing it using Docker is a perfect solution. In...

PySpark - Create Embedding Vectors with Sentence-Transformers
Academy Membership PySparkPython

PySpark - Create Embedding Vectors with Sentence-Transformers

Introduction In today's data-driven world, understanding text data is crucial across various domains, from data analysis to engineering and architecture. However, dealing with text data often requires converting it into numerical representations for machine learning models to process efficiently. This is where embedding vectors come into play, offering...

Performance Metrics for Classification in Machine Learning: Understanding Accuracy, Precision, Recall and F1 Score
Academy Membership Machine Learning

Performance Metrics for Classification in Machine Learning: Understanding Accuracy, Precision, Recall and F1 Score

Introduction In Machine Learning, one essential step is evaluating the performance of a model. For classification models, the Confusion Matrix serves as a fundamental instrument for evaluating the performance. The Confusion Matrix provides a visualization of the results of a model. Based on the information from the Confusion Matrix, some...

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