Tech Thursday

Efficient AI Training: A Practical Guide to LoRA, QLoRA, and PEFT

Must Read, Tech Thursday

Training large language models from scratch is expensive, slow, and often unnecessary. As AI adoption accelerates, the real challenge is no longer building bigger models—it’s adapting models efficiently. That’s exactly where efficient AI fine-tuning comes in. Techniques like LoRA, QLoRA, and Parameter-Efficient Fine-Tuning (PEFT) are quietly powering modern AI systems—allowing teams to customize powerful models […]

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Edge AI vs Cloud AI: Why On-Device AI Is the Future

Must Read, Tech Thursday

For years, artificial intelligence lived almost entirely in the cloud. Models were large, slow to access, and dependent on constant internet connectivity. However, that’s quickly changing. Edge AI—running AI models directly on devices like smartphones, Raspberry Pi boards, and IoT hardware—is becoming one of the most important shifts in modern computing. In this guide, we’ll

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Synthetic Data Generation: Training Models with AI-Created Data

Must Read, Tech Thursday

Training AI models has always depended on one thing more than algorithms: data. However, as privacy laws tighten, real-world data becomes harder to access, and edge cases remain rare, a new approach is taking centre stage—synthetic data generation. Instead of collecting more human data, organizations are now creating data with AI to train AI. This

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Adversarial Attacks on ML Models: Techniques and Defences

AI Ethics & Safety, Must Read, Tech Thursday

Machine learning models are everywhere—from recommendation engines to autonomous systems. However, as models become more powerful, they also become more vulnerable. One of the most critical yet under-discussed threats today is adversarial attacks on ML models. In this article, we’ll explore what adversarial attacks are, why they matter, the most common techniques used by attackers,

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Training AI to Be Safe: Inside RLHF and Constitutional AI

AI Ethics & Safety, Must Read, Tech Thursday

Modern AI models seem incredibly capable — they answer questions, write essays, generate code, and act as creative partners. But beneath that smooth interaction lies a much harder challenge: teaching AI systems how to behave safely. Two of the most important alignment strategies used today are RLHF (Reinforcement Learning from Human Feedback) and Constitutional AI.

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How Security Researchers Red Team AI: A Guide to Model Testing

Must Read, Tech Thursday

As AI systems become more capable—and more deeply integrated into search, automation, education, and enterprise workflows—AI safety and security testing have become critical priorities. One method stands out as the backbone of model evaluation: red teaming. Inspired by cybersecurity and military strategy, red teaming involves deliberately pushing AI systems to their limits—finding weaknesses before real-world

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The Ultimate Agentic AI Framework Comparison: LangGraph, AutoGen, and CrewAI

Must Read, Tech Thursday

The world of AI is shifting dramatically from “chat assistants” to agentic AI systems—AI that can plan, reason, take actions, and coordinate with other agents. If tools like ChatGPT revolutionized interaction, agentic frameworks are revolutionizing autonomy. Three of the most influential frameworks today are: Each takes a different approach to building AI agents, designing workflows,

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Why Multimodal AI Is the Next Big Leap—CLIP & LLaVA Breakdown

Must Read, Tech Thursday

For years, AI systems treated text and images as separate worlds. Text models could read. Vision models could see. But neither could understand both at once. That changed with the emergence of vision-language models—powerful multimodal systems like CLIP, LLaVA, and today’s increasingly intelligent all-in-one AI models. These new systems can analyze an image, interpret its

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How to Choose an LLM Agent Architecture: ReAct, AutoGPT, or BabyAGI?

Must Read, Tech Thursday

AI is no longer just answering questions — it’s thinking, planning, and executing tasks on its own. Welcome to the era of AI agents, powered by advanced architectures like ReAct, AutoGPT, and BabyAGI. These frameworks are redefining how large language models (LLMs) go beyond conversation and into action-driven autonomy. Whether you’re building a personal AI

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