Building your own AI-powered App

10 Steps to Build an AI Powered Application

🪜 Steps to Build an AI-Powered Application
1️⃣ Define the Purpose
2️⃣ Choose the Right Technology
3️⃣ Wireframing and Frontend Development
4️⃣ Define the Intelligence Type
5️⃣ Data Preparation and Model Training
6️⃣ API Development for Integration
7️⃣ Evaluation and Pre-production
8️⃣ Refinement and Adjustments
9️⃣ Transition to Production
🔟 Monitoring and Maintenance

What Really Happens to your Text when Entering a Neural Network?

Accompany a text as it travels through the different layers of a neural network
#neuralnetworks #token #artificialintelligence

Mastering AI Prompts

3 Simple Strategies for Powerful Results
 

From AI Models to the Harsh Reality: My Company's Struggling Database

In the early stages of implementing AI, I aimed to automate supplier payments using a seven-year SQL data history from my company, but I quickly encountered data inconsistencies such as supplier name variations, which complicated the analysis.
This led us to simplify the model by focusing on the remaining reliable columns, but even then, data misclassifications, like profit & loss accounts, hindered progress, showing that the data was insufficient for a reliable model.
Despite not achieving full automation, the project led to a complete restructuring of our database, highlighting the importance of high-quality data, a realization that now shapes my consulting approach to AI readiness in companies.

What is the frontend and How to decide Which framework to use?

In this episode, we explore the essentials of front-end development and how it can help you meet your business goals. From building simple, static sites with HTML and CSS to creating interactive applications using JavaScript, front-end design is where users engage with your platform. We also discuss popular frameworks like Flutter and React, which streamline development for web, mobile, and desktop apps.
Key takeaway: Choosing the right front-end strategy depends on your business’s needs, user environment, and available technical resources. Want to learn more about responsive design tools? Stay tuned for the next episode! 💡👨‍💻 #FrontendDevelopment #BusinessTech #WebDev #MobileApps #React #Flutter

Difference between Front and Back End in software development

In this episode, we break down the differences between frontend and backend development, focusing on user interaction, system management, and the roles of developers in creating seamless software experiences. Tune in to learn more! #aiforbussiness #businessowner #business #businesssolutions

How to tailor train AI for your Business

In this episode, we discuss how Large Language Models (LLMs) like OpenAI's ChatGPT, Facebook's LLaMA, and Google's Gemini are trained using vast datasets and tokenization to understand and generate text. These models can be adapted for specific business needs through additional training with tailored documents, accessed via APIs or by downloading and running the models locally. While LLMs are powerful for various tasks, they require careful consideration of costs, hardware, and accuracy in training data to ensure they meet your specific requirements.

What are microservices and API’s

In this episode, we explore the role of microservices and APIs in modern business. We break down how microservices allow for flexible, scalable application development by dividing large systems into smaller, manageable pieces. APIs then connect these microservices, enabling seamless communication between them. We discuss how businesses benefit from this architecture through faster development cycles, easier maintenance, and the ability to quickly adapt to changing market needs.

Best Process to Automate

Many of us entrepreneurs believe we know where our issues lie, frequently neglecting to seek opinions or to thoroughly map out each current process within our business.

Building your own AI-powered App (Trailer)