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08/04 07:00
arxiv.org
Pramana: Fine-Tuning Large Language Models for Epistemic Reasoning through Navya-Nyaya
Large Language Models
Epistemic Reasoning
Navya‑Nyaya
Fine‑Tuning
Hallucination Reduction
Structured Reasoning
07/04 21:13
dev.to
Context Pruning Unlocks Superior RAG Accuracy Metrics
RAG
context pruning
cross‑encoder reranking
signal‑to‑noise
retrieval augmentation
hallucination reduction
07/04 21:08
dev.to
How to Implement Semantic Pruning in Your RAG Stack
semantic pruning
RAG
cross‑encoder reranking
hallucination reduction
context filtering
token efficiency
01/04 23:01
dev.to
An Engineering-grade breakdown of RAG Pipeline
RAG
Retrieval‑Augmented Generation
LLM
hallucination reduction
vector store
knowledge retrieval
31/03 06:50
github.com
Semantic – Reducing LLM "Agent Loops" by 27.78% via AST Logic Graphs
LLM
agent loops
AST logic graphs
efficiency
semantic parsing
autonomous reasoning
28/03 20:49
dev.to
Reasoning Techniques
reasoning
LLM
chain-of-thought
intermediate thoughts
human-like deliberation
accuracy
26/03 01:07
dev.to
Genesis: Teaching AI to Learn Like a Child (Patent Pending)
AI training
child‑like learning
Genesis
patent pending
hallucination reduction
cost efficiency
23/03 14:05
dev.to
Hierarchical RAG Explained: Knowledge Bases for Long-Term Agents
Hierarchical RAG
Retrieval-Augmented Generation
AI agents
Knowledge bases
Precision improvement
Structured domains
19/03 22:00
dev.to
Stop LLMs from Lying: Build Self-Correcting Agents with the Reflection Pattern
LLM
self‑correcting agents
reflection pattern
TypeScript AI
free masterclass
AI engineering
19/03 22:00
dev.to
Stop LLMs from Lying: Build Self-Correcting Agents with the Reflection Pattern
LLM
self‑correcting agents
reflection pattern
TypeScript AI
free masterclass
AI engineering
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