Featured
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 readfounder
- LLM WIKI
- Agent Memory
- RAG
- Tokenomics
Insights & engineering
Syntropylabs Blog
Product notes, AI evaluation patterns, and practical engineering guides from the Syntropylabs team.
- Posts
- 07
- Topics
- 06
- Latest
- Jul 19, 2026
- RLHF2
- DPO2
- RFT2
- LLM WIKI1
- Agent Memory1
- RAG1
Latest articles
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 RL
- RLHF
- DPO
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.
- DPO
- Preference tuning
- RFT
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 Training
- Model Alighment
- RLHF
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 Buffer
- Sliding Window
- Knowledge Graph
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 Agents
- Agent Evaluation
- LLM Evaluation
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
- AI
- Agents
- LLM