Explained

🔎 ChatGPT Explained

Advertise with us Hello, AI Enthusiasts!Today, we explore ChatGPT's latest version, GPT-4o. Concerns about it taking on the world are common, but understanding its capabilities and limitations is vital.Don’t remember subscribing or wish to stop...

Speculative Sampling — Intuitively and Exhaustively Explained

Machine Learning | Natural Language Processing | Data ScienceExploring the drop-in strategy that’s speeding up language models by 3xFirst we’ll discuss a serious problem that’s slowing down modern language models, then we’ll construct an...

Explained: Generative AI

A fast scan of the headlines makes it look like generative artificial...

Hidden Markov Models Explained with a Real Life Example and Python code

The true world is filled with phenomena for which we will see the ultimate end result, but can’t actually observe the underlying aspects that generated those outcomes. One example is predicting the weather, determining...

De-coded: Transformers explained in plain English

No code, maths, or mention of Keys, Queries and ValuesSince their introduction in 2017, transformers have emerged as a distinguished force in the sector of Machine Learning, revolutionizing the capabilities of major translation and...

Recurrent Neural Networks, Explained and Visualized from the Ground Up Complex Flavors of Recurrent Networks Neural Machine Translation Text-Output Recurrent Models Bidirectionality Autoregressive Generation 2016 Google Translate

The design of the Recurrent Neural Network (1985) is premised upon two observations about how a great model, similar to a human reading text, would process sequential information:It should track the data ‘learned’ up...

Twitter’s Advice Algorithm — Explained!

Let’s do a transient non-technical breakdown!Twitter has open-sourced one in all its most prized possessions — the advice algorithm!Daily, Twitter serves over 150 billion Tweets to people’s devices.Daily, people post over 500 million Tweets.

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