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 |  | Pricing | Freemium | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 227 | Founded | 4 years ago | Last Issue | 2 days ago |
| Active | |||||
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newsletter.theaiedge.ioLatest Issues
How CUDA Graphs Speed Up LLM Inference
Replay GPU operations with fresh tokens, growing caches, and changing batches.
CUDA Graphs can speed up repeated GPU work by preparing its execution plan once and replaying it with new data. They are a feature of NVIDIA’s CUDA platform. In...
How LLM Rerankers Order Retrieved Passages
Follow pointwise scores, pairwise preferences, and listwise windows from model judgment to useful context.
A reranker takes a question and a shortlist of retrieved passages, reads them again, and changes their order before a large language...
How Looped Transformers Reuse Their Weights
Follow changing attention states, shared gradients, and the real cost of extra passes.
A looped Transformer reuses a group of neural-network layers several times before predicting the next token. Each pass receives the hidden representatio...
How the KV Cache Shapes AI Agent Costs
Why shrinking the cache, reusing a prefix, and keeping it nearby save different resources.
An AI agent can spend most of a model call reading a history it has already processed. The KV cache preserves the keys and values that a causal Tran...
How Hybrid LLMs Combine Memory, Attention, and Experts
Follow Mamba-2, Gated DeltaNet and KDA from state updates to the costs that active parameter counts miss.
A hybrid LLM processes a sequence with more than one kind of memory. Some layers update a compact running state as tokens arrive. Oth...
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Authors
The writers behind this newsletter.
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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