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Explaining Tokens — the Language and Currency of AI
Under the hood of every AI application are algorithms that churn through data in their own language, one based on a vocabulary of tokens.
Tokens...
Statistical Methods for Evaluating LLM Performance
The large language model (LLM) has become a cornerstone of many AI applications.
The Roadmap for Mastering Language Models in 2025
Large language models (LLMs) are a big step forward in artificial intelligence.
Gaming Goodness: NVIDIA Reveals Latest Neural Rendering and AI Advancements Supercharging...
AI is leveling up the world’s most beloved games, as the latest advancements in neural rendering, NVIDIA RTX and digital human technologies equip game...
Drop It Like It’s Mod: Breathing New Life Into Classic Games...
PC game modding is massive, with over 5 billion mods downloaded annually. Mods push graphics forward with each GPU generation, extend a game’s lifespan...
Understanding RAG Part VII: Vector Databases & Indexing Strategies
Be sure to check out the previous articles in this series: •
Mastering Time Series Forecasting: From ARIMA to LSTM
Time series forecasting is a statistical technique used to analyze historical data points and predict future values based on temporal patterns.
Understanding the DistilBart Model and ROUGE Metric
This post is in two parts; they are: • Understanding the Encoder-Decoder Architecture • Evaluating the Result of Summarization using ROUGE DistilBart is a...
The Beginner’s Guide to Language Models with Python
Language models — often known for the acronym LLM for Large Language Models, their large-scale version — fuel powerful AI applications like conversational chatbots,...
A Complete Guide to Matrices for Machine Learning with Python
Matrices are a key concept not only in linear algebra but also with regard to their prominent application and use in machine learning (ML)...
