AI & Machine Learning

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AI & Machine Learning, Data, Guides, LLMs, Psychology

Why LLMs Beat Generic Sentiment Analysis: The Rise of Semantic Evaluation Scales in Scientific Research

For years, sentiment analysis dominated automated text evaluation—classifying text as positive, negative, or neutral. But what if you needed to measure something more nuanced? What if you wanted to quantify dehumanization in a text, or psychological construct strength on a scale of 1–100, or consumer purchase intent across five Likert points? The answer lies is […]

AI & Machine Learning, Free Initiatives, LLMs, New Things

Enhancing In-House AI: Introducing a Commerical Use Open Source perplexity.ai Clone For Secure Local Data Processing With References (Updated 25/07/24, Code Included)

Explore the new Perplexity.ai clone upgrade for secure, in-house data processing. Discover how it integrates PostgreSQL for full-text wiki searches, ensuring data privacy in medical, government, and other sensitive fields. Dive into the full code and contribute to this evolving project

AI & Machine Learning, New Things

Revolutionizing Software Development with Natural Language-Enhanced Programming

In the rapidly evolving world of software development, we stand at the threshold of a groundbreaking innovation that promises to redefine how we interact with technology. This article delves into the idea around the latest advancements poised to transform the industry: a natural language-enhanced programming stack. Bridging the gap between human communication and digital computation,

AI & Machine Learning, Environment

What Most Doctors Do Wrong: Overlook the Critical Link Between Population Control and Sustainable Healthcare

Introduction: The Overlooked Connection Between Population and Healthcare In the healthcare sector, a critical element is often ignored: the undeniable link between population control and sustainable health practices. Overlooking this connection for a self driven need to save the most life possible can lead to catastrophic outcomes without consideration that many more will be lost

AI & Machine Learning, Environment, Life Skills

Bridging Ideals: An Exploration into Veganism, Ethical Breeding, and the Unseen Potential of AI

In an epoch marked by rapid technological evolution and growing self-awareness, the discourse around veganism has surged, intertwining with broader narratives of ethical consumption, animal welfare, and sustainability. The author, while not yet a vegan, endeavours to navigate through this complex terrain, expressing a keen interest in the ethics of minimizing harm towards the sentient

AI & Machine Learning, Philosophy, Quantum Computers

Quantum Computing, Genetics, and Building an Ethical Future: Lessons from “Gattaca” and the Honesty Zero Day

The convergence of quantum computing and genetics holds the promise of reshaping the very fabric of human existence. While the potential benefits are staggering, from eradicating hereditary diseases to enhancing human capabilities, the ethical implications are equally profound. Movies like “Gattaca” serve as cautionary tales, warning of a future where genetic determinism creates societal rifts.

AI & Machine Learning, New Things, Tech

Understanding OOP Principles Through Physical Objects and Its Future Evolution

Object-Oriented Programming (OOP) is a programming paradigm that uses “objects” to design applications and computer programs. These objects represent metaphorical real-world entities so to speak, making it easier to understand and design complex systems. Let’s delve into this concept using a simple analogy: physical objects. The Ball Object Imagine you’re creating a simulation of a

AI & Machine Learning, LLMs, New Things

Machine Learning: Beyond Traditional Language to Body Language and Neuronal Signals

Machine learning has traditionally been associated with understanding and processing language. However, as the field evolves, there’s a growing interest in expanding its scope to interpret non-traditional tokens, such as body language. The ultimate frontier? Decoding the myriad signals from every neuron in the human brain. This ambitious endeavour isn’t just about data processing; it’s