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The AiEdge Newsletter

Damien Benveniste
Hundreds of paid subscribers

A newsletter for continuous learning about Machine Learning applications, Machine Learning System Design, MLOps, the latest techniques and news. Subscribe and receive a free Machine Learning book PDF!

Platform
Substack
PricingFreemiumPublishesTwice weekly
Issues221Founded4 years agoLast Issue3 days ago
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Latest Issues

How Self-Improving Agents Learn from Experience

How executable tasks and adaptive curricula turn production failures into useful practice.

A self-improving agent uses evidence from earlier tasks to change something retained for later tasks, then demonstrates better behavior on new runs....

3 days ago
3
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How DeepSeek V4.1 Flash Separates Reading and Generation

How a shorter input path, shared attention memory, and selective reconstruction change the cost of long conversations.

DeepSeek V4.1 Flash generates text one token at a time. A token is a piece of text, often a word or part of one. To choo...

5 days ago
3
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Build a Jev-Supervised AI Agent

Typed decisions, guarded tools, and a measured comparison with LLM supervisors

An AI agent does more than write its final answer. It chooses a tool, reads the result, decides whether to continue, and sometimes has to admit that an action's...

9 days ago
8
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How Jev Turns Questions Into Decisions

Inside the state, typed-output, probability, and application-policy contracts of a decision model

Jev is a decision model whose interface asks bounded questions about a supplied state and returns probabilities over the allowed answers. A s...

12 days ago
6
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The Complete Guide to Evaluation Pipelines for AI Agents

From production traces and isolated trials to evidence you can use for release decisions

An agent can say that a refund is complete while the customer's account shows no refund. For an agent that can use tools, a convincing reply is only o...

14 days ago
12
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  • Damien Benveniste

    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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