Dastagir Ahmed·Oct 4AI, Machine Learning, Deep Learning and NLP: A Beginner’s Guide to Understanding the FundamentalsIf you are starting your journey into Artificial Intelligence, one of the first problems you will face is the terminology.
Maneaditya·Aug 28Deep Learning Explained: How Neural Networks Learn From Data — With Simple ExamplesA beginner-friendly guide to understanding Deep Learning, neural networks, training, and real-world applications
InMindful Tech JournalbyRobert Smith·Aug 19Machine Learning vs Deep Learning: What Businesses Need to KnowIf you’ve spent any time researching AI adoption for your business, you’ve probably run into these two terms being used almost…
Dhruv Kumar·May 24GPT2: The Paper That Proved Scale Is All You Need (And Why OpenAI Tried to Hide It)A complete breakdown of “Language Models are Unsupervised Multitask Learners” the paper that quietly predicted ChatGPT four years early
Devipriya Raju·May 17Gradient Descent: The Engine Behind Every AI Model You’ve Ever UsedThere is a moment in every machine learning project where the code compiles, the data is loaded and we type model.fit(….). What happens…
Akshit Kothari·May 7Decoding LLMs — Part 1: A Step-by-Step Journey Into the Mind of Modern AIWe’re living in a time where your coworker uses ChatGPT to draft emails, your neighbor relies on AI to plan dinner, and creators generate…
Sahil Kumar·Apr 206x Smaller. 8x Faster. Zero Accuracy Loss.Meet the Algorithm Changing How LLMs Think Subtitle: TurboQuant’s two-stage approach to KV cache compression is pushing AI memory to the…
Rahul Yadav·Apr 20Reading the Envelope, Not the Letter: How AI Detects Threats in Encrypted TrafficIntroduction: The Problem with Security Tools
