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Creating a Llama or GPT Model for Next-Token Prediction
This article is divided into three parts; they are: • Understanding the Architecture of Llama or GPT Model • Creating a Llama or GPT Model for Pretraining • Variations in the Architecture The...
Read More...3 Subtle Ways Data Leakage Can Ruin Your Models (and How to Prevent It)
Data leakage is an often accidental problem that may happen in machine learning modeling.
Read More...3 Feature Engineering Techniques for Unstructured Text Data
Machine learning models possess a fundamental limitation that often frustrates newcomers to natural language processing (NLP): they cannot read.
Read More...How LLMs Choose Their Words: A Practical Walk-Through of Logits, Softmax and Sampling
This article is divided into four parts; they are: • How Logits Become Probabilities • Temperature • Top- k Sampling • Top- p Sampling When you ask an LLM a question, it outputs a vector of logits.
Read More...Top 5 Vector Databases for High-Performance LLM Applications
Building AI applications often requires searching through millions of documents, finding similar items in massive catalogs, or retrieving relevant context for your LLM.
Read More...The Real Cost of Inaction: How Silos Hurt Productivity for Data Scientists (Sponsored)
The Real Cost of Inaction: How Silos Hurt Productivity for Data Scientists (Sponsored)...
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By Adrian Tam