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Python Articles
Python Articles
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Building AI Agents with LangChain and Vector Databases
The landscape of AI applications has shifted dramatically with the emergence of autonomous agents capable of reasoning, planning, and executing complex tasks. LangChain, combined with vector databases, enables developers to build intelligent systems that can interact with external tools and maintain long-term memory.- Published on
Running Neural Networks on Microcontrollers with TensorFlow Lite
The future of AI isn't just in the cloud—it's happening on tiny devices with minimal power consumption. Edge AI brings machine learning directly to microcontrollers, enabling smart sensors, wearables, and IoT devices to make decisions locally without internet connectivity.- Published on
Real-Time Object Detection with Python and YOLOv5
Object detection has become a hot topic with wide applications ... autonomous vehicles, retail analytics, surveillance, and even wildlife monitoring. In this article, we will walk through how to use YOLOv5, one of the most popular object detection models, to detect objects in real-time using a webcam — all in Python.- Published on
Unlocking the Power of Python's Generators
As developers, we're always on the lookout for tools that make our code more efficient and readable. Python's generators are one such feature that can significantly enhance the way we handle data processing. In this article, we'll dive into what generators are, why they're useful, and how you can incorporate them into your Python projects.- Published on
Procedural Terrain Generation using Perlin Noise
Procedural generation is a method of creating data algorithmically rather than manually. Widely used in game development to create expansive and varied environments without the need for handcrafted assets. Perlin Noise, developed by Ken Perlin in 1983, is a type of gradient noise often used in procedural generation to create natural-looking textures and terrains.- Published on
Simulating a Self-Driving Car in Python
Self-driving cars combine various technologies like computer vision, sensor fusion, and intelligent decision-making to navigate roads safely. While building a real autonomous vehicle is a massive undertaking, simulating one provides valuable insights into the underlying principles. Using Python and Pygame, we can create a simplified environment to experiment with these concepts.- Published on
Rise of the ChatBots (3) - They can see!
GPT-4 with Vision, also known as GPT-4V or gpt-4-vision-preview in API parlance, extends the capabilities of traditional language models by incorporating image processing. This feature moves beyond the text-only limitations of previous models, opening up new possibilities for applications that GPT-4 can be harnessed for.- Published on
Rise of the ChatBots (2) - They can hear and speak
This article delves into the integration of cutting-edge speech-to-text (STT) and text-to-speech (TTS) services with the OpenAI API, offering developers a powerful toolkit for creating more accessible and interactive applications. We explore how OpenAI API provides an intuitive platform for implementing these services, facilitating natural language understanding and generating human-like voice responses- Published on
Rise of the ChatBots (1) - Chat Completions
In recent years, the digital landscape has witnessed a significant transformation with the advent of chatbots, revolutionizing the way businesses interact with their customers. As this technology continues to evolve, one of the most groundbreaking developments is the integration of advanced language models like OpenAI GPT (Generative Pre-trained Transformer) into chat systems.- Published on