Tokenization in Large Language Models (LLMs)
Introduction to Tokenization Tokenization in NLP is the process of breaking text into smaller units called tokens, such as words, subwords, or characters. It’s a […]
Announcement : ai chat by api
Just Now—It’s Live! 🎉 The wait is over! The innovative iOS app, AI Chat by API, is now officially live on the App Store. This […]
ONNX vs. Core ML: Choosing the Best Approach for Model Conversion in 2024
ONNX vs. Core ML: Choosing the Best Approach for Model Conversion in 2024 In the rapidly evolving world of machine learning, deploying models efficiently across […]
Core ML vs (PyTorch – TensorFlow)for deep learning integration on iOS app on Xcode using SWIFT
Core ML and Model Conversion Abstract Machine learning models are often developed using frameworks like PyTorch and TensorFlow, which offer dynamic graphing and flexibility. However, […]
How to Monetize Your Deep Learning Skills and Models as a Solo Developer in 2024 – 2025
How to Monetize Your Deep Learning Skills and Models as a Solo Developer in 2024 The world of AI and deep learning has opened up […]
Announcement : New iOS app coming for Christmas
Link of the Ingoampt apps in Apple Store : “We are happy to announce that Ingoampt has developed two new apps with artificial intelligence and […]
Understanding Tokens in Deep Learning: Types, Examples, and Use Cases -LLM
Understanding Tokens in Deep Learning: Types, Examples, and Use Cases Tokens are fundamental building blocks in Natural Language Processing (NLP) and deep learning models. They […]
Understanding Computation Graphs in Pytorch vs Tensorflow
Understanding Computation Graphs Understanding Computation Graphs in Deep Learning Part 1: Theoretical Explanation What Is a Computation Graph? A computation graph is a core concept […]
Compare iPad M4 chip, Mac M4 Chip , Cloud & GoogleColab for building deep learning model – day 10
Ipad pro – 2024 with m4 chips : Aspect Details Considerations CPU and GPU Multi-core CPU, 10-core GPU Efficient for basic processing and on-device inference […]
