Unverified90% confidenceFactExact time
Current LLMs predominantly use the decoder-only architecture because it's naturally suited for autoregressive generation
1
Sources
90%
Confidence
Long-term
Relevance
8/2/2026
First Seen
Sources
Training a 1.3B Parameter LLM from Scratch: Complete Workflow and Core Challenges
Related Entities
Related Claims
UnverifiedIn the LLM+solver hybrid architecture, the LLM acts as a translation layer between natural language and formal systems, while specialized tools handle actual execution, thereby avoiding the risk of numerical hallucinations.68% similarUnverifiedConstrained Decoding guarantees at the sampling level that outputs will conform to a specified JSON Schema or regular expression; typical open-source implementations include Outlines, Guidance, and LM Format Enforcer.64% similarUnverifiedThe decode phase is a memory-bandwidth-intensive operation, and overall throughput is constrained by VRAM bandwidth rather than compute.64% similarUnverifiedMultimodal large models typically adopt a three-stage architecture of Encoder-Connector-LLM.64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/680569API
curl https://kongchang.com/api/v1/knowledge/claims/680569MCP
get_claim(id=680569)