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| Platform |  | Pricing | Freemium | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 213 | Founded | 4 years ago | Last Issue | 4 days ago |
| Active | |||||
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newsletter.theaiedge.ioLatest Issues
How Constrained Decoding Makes LLM Outputs Follow a Schema
The decoder can guarantee the shape of a tool call while leaving its values completely wrong.
An LLM can return JSON that parses perfectly, matches every required field, and is still dangerous to execute. That is not a contradiction. It is...
How Sparse Attention Makes Long-Context LLMs Cheaper, and What It Misses
Full reach, sliding windows, and learned selectors turn the same prompt into three different evidence sets.
An LLM can accept a very long prompt without treating every earlier piece the same way. The model represents each piece as an inter...
Four Retrieval Techniques for Video Search
Why frame rate, change detection, temporal hierarchy, and targeted rewatching fail in different ways
Video looks like one input, but an AI cannot inspect it as one indivisible object. A two-hour recording is a sequence of changing images,...
Deep Dive: How AI Text Watermarks Work
How a language model leaves a detectable pattern in its word choices, and why copying the text preserves it.
An AI text watermark leaves detectable evidence in the words a model chooses. During generation, a secret scoring rule helps selec...
Deep Dive: How Speculative Decoding Makes LLMs Faster
How a smaller model helps a larger model generate text faster without changing its output distribution.
Speculative decoding can make a coding assistant respond faster by having a small model propose several future tokens for a larger mode...
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Authors
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I specialize in building large scale end to end Machine Learning capabilities. After a PhD in Physics, I have been a Data Scientist, ML Engineer and Software Engineer for the past 10 years. Until recently, I was a Machine Learning Tech Lead at Meta.
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