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Multi-Head Attention — Formally Explained and Defined
Multi-Head Attention — Formally Explained and Defined
A comprehensive and detailed formalization of multi-head attention.
Jean Meunier-Pion
Jun 10
Beyond FOMO — Keeping up to date in AI
Beyond FOMO — Keeping up to date in AI
Don’t get stressed but enjoy the journey.
Carsten Frommhold
Jun 10
Latest
How I Built an LLM-Based Game from Scratch
How I Built an LLM-Based Game from Scratch
Part I: Game concepts and Causal Graphs for LLMs
Jacky Kaub
Jun 10
SQL Explained: Ranking Analytics
SQL Explained: Ranking Analytics
What they are and how you use them
Thomas Reid
Jun 10
Anatomy of Windows Functions
Anatomy of Windows Functions
Theory and practice of an underappreciated SQL operation
João Pedro
Jun 10
Reinforcement Learning, Part 4: Monte Carlo Control
Reinforcement Learning, Part 4: Monte Carlo Control
Harnessing Monte Carlo algorithms to discover the best strategies
Vyacheslav Efimov
Jun 10
The Challenges of Retrieving and Evaluating Relevant Context for RAG
The Challenges of Retrieving and Evaluating Relevant Context for RAG
A case study with a grade 1 text understanding exercise for how to measure context relevance in your retrieval-augmented generation system…
Leonie Monigatti
Jun 10
Task-Aware RAG Strategies for When Sentence Similarity Fails
Task-Aware RAG Strategies for When Sentence Similarity Fails
When retrieval is based on an additional metric besides just sentence similarity, traditional methods perform poorly.
Michael Ryaboy
Jun 10
Analyzing Lake Mendota Ice Phenology with Python
Analyzing Lake Mendota Ice Phenology with Python
An analysis-ready dataset you can use right now
Luke Gloege, Ph.D.
Jun 10
How Do Computers Actually Compute?
How Do Computers Actually Compute?
A Budding Data Scientist’s Introduction to Computer Hardware
W. Caden Hamrick
Jun 10
Deploy a LightGBM ML Model With GitHub Actions
Deploy a LightGBM ML Model With GitHub Actions
A beginner’s guide to getting out of Jupyter notebooks and deploying ML models
Matt Chapman
Jun 10
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