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Wiki Style Memory- Tokenomics for Agents
Stop feeding your RAG, or your complete code database to the model. Feed it a compiled wiki instead.
•9 min read•founder
Insights & Engineering
Syntropylabs Blog
Product notes, AI evaluation patterns, and practical engineering guides from the Syntropylabs team.
RLHFDPORFTLLM WIKIAgent Memory
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6 posts
•6 min read
Reinforcement Learning For Multi-Turn Agents
Why single-turn RL breaks for agents: credit assignment, DPO's partition-function mismatch, compounding errors — and two fixes, DMPO and PNLC."
Agentic RLRLHF
By Founder
•5 min read
Model Alignment - Gold Labels vs Preference Pairs vs Verifier?
Your eval signal picks your method: gold labels → SFT, preference pairs → DPO, verifiers → RFT. The math, trade-offs, and failure modes explained.
DPOPreference tuning
By Founder
•7 min read
How to Align Model behaviour in way Human likes?
RLHF, RFT, preference tuning, and agent alignment look like four different worlds. They are really four answers to a single question -Model Alignment.
Post TrainingModel Alighment
By Founder
•5 min read
Agentic Memory Context That Persists
A field guide to seven agentic memory architectures—buffers, sliding windows, summaries, knowledge graphs, episodic, semantic, and procedural memory.
Conversation BufferSliding Window
By Founder
•8 min read
Demystifying Agent Harness Evaluation
An agent is a model plus a scaffold — tools, memory, skills, control flow. To evaluate one well, you have to evaluate the whole thing, not just the model's fina
AI AgentsAgent Evaluation
By Founder
•5 min read
Agent Skills-Dynamic Context Engineering
Agent Skills enable dynamic context loading, reducing prompt bloat by fetching only relevant instructions, improving efficiency, modularity, and cost in AI syst
AIAgents
By Founder