Neurocoder Tales
Hung LeReview papers and research topics in ML/AI for self-education and knowledge sharing. Our content offers deep technical insights into the latest advancements and fundamental technologies.
| Platform |  | Pricing | Only free issues | Publishes | Monthly |
|---|---|---|---|---|---|
| Issues | 21 | Founded | 3 years ago | Last Issue | 3 months ago |
| Active | |||||
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Why Your Agent Forgets
“Memory is the mother of all wisdom.” — Aeschylus (525–426 BC)
In humans, memory underpins learning, identity, and reasoning. In LLM agents, it is mostly missing. This series is about how modern agents can remember, guided by how brains do...
Agree or Disagree: A Review of Multi-Agent Debate
Agents are everywhere. Every week, a new framework promises to solve complex problems by orchestrating multiple LLMs into pipelines, graphs, and hierarchies of sophistication. The agentic ecosystem has exploded, and with it, a dizzying arra...
A Brief History of Model Merging
Model merging has recently emerged as a sophisticated method of "synaptic synthesis," integrating specialized weights from disparate models into a singular, cohesive architecture. Just as an alchemist mixes chemicals in the hope of forging...
Improving LLM Reasoning with RL Post-Training
Large language models are getting better at reasoning, not because we made them bigger, but because we finally learned how to teach them after pre-training,a.k.a., post-training. Continuing our series on RL for LLM reasoning, today’s blog r...
Reason on the Fly: How RL Boosts LLM Reasoning On the Spot
In our last post, we warmed up with why reinforcement learning (RL) is a powerful paradigm for building smarter AI reasoners. Today, we zoom in on an exciting approach: using RL at inference time to improve large language model (LLM) reason...
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