TAGGED TOPIC
#Llm
Explore all engineering breakdowns, benchmarks, and tutorials tagged with #Llm.
11Articles Found
Showing 1–11 of 11 ArticlesPage 1 of 1
Optimizing LLM I/O: TOON vs JSON, schema validation trade-offs, and engineering patterns to cut latencyAI
2026-10-2210 min read
Optimizing LLM I/O: TOON vs JSON, schema validation trade-offs, and engineering patterns to cut latency
Practical engineering patterns to reduce LLM latency by choosing TOON vs JSON, schema validation trade-offs, benchmarks, and production-safe implementation steps.
Asutosh Sidhya
Token-aware LLM I/O: when to use JSON, when to use TOON, and how to combine grammar constrainers for low-latency productionAI
2026-10-1910 min read
Token-aware LLM I/O: when to use JSON, when to use TOON, and how to combine grammar constrainers for low-latency production
Trade-offs between JSON, token-oriented TOON formats, and grammar-constrained generation: benchmarks, concrete patterns, and production-ready code to cut LLM latency without breaking downstream systems.
Asutosh Sidhya
TOON vs JSON for LLM I/O: Production Patterns, Benchmarks, and Schema OptimizationAI
2026-10-1711 min read
TOON vs JSON for LLM I/O: Production Patterns, Benchmarks, and Schema Optimization
Practical guide to choosing TOON vs JSON for LLM I/O: benchmarks, schema optimization, parser strategies, and production-ready code for token, latency, and correctness trade-offs.
Asutosh Sidhya
TOON vs JSON for LLM I/O: Production Patterns to Reduce Latency and Token CostAI
2026-10-1610 min read
TOON vs JSON for LLM I/O: Production Patterns to Reduce Latency and Token Cost
Practical guide comparing JSON vs TOON for LLM I/O, with benchmarks, token/latency tradeoffs, validation patterns, and production-safe parsing and fallbacks.
Asutosh Sidhya
Token-Aware Prompting: Trade-offs Between JSON, Schema, and Compact Formats for Low LLM LatencyAI
2026-10-1410 min read
Token-Aware Prompting: Trade-offs Between JSON, Schema, and Compact Formats for Low LLM Latency
Practical guide to reduce LLM latency by optimizing prompt formats, trading JSON schema guarantees for token-efficient compact formats, with benchmarks and patterns
Asutosh Sidhya
Tool-calling Latency: JSON Schema Hardening and Inference Stack Optimizations for Production LLMsAI
2026-10-149 min read
Tool-calling Latency: JSON Schema Hardening and Inference Stack Optimizations for Production LLMs
Practical guide to reducing LLM tool-calling latency by optimizing JSON schemas, constrained decoding, token budgets, and GPU-aware inference patterns for production.
Asutosh Sidhya
Token-Efficient LLM Outputs: JSON vs TOON for Low-Latency ProductionAI
2026-10-0711 min read
Token-Efficient LLM Outputs: JSON vs TOON for Low-Latency Production
Guide to cut LLM latency: compact output formats, hybrid JSON/TOON patterns, schema validation trade-offs, concrete benchmarks, and reproducible production code.
Asutosh Sidhya
Token-efficient LLM I/O: JSON vs Compact Notation (TOON) and Schema Optimization in ProductionAI
2026-10-079 min read
Token-efficient LLM I/O: JSON vs Compact Notation (TOON) and Schema Optimization in Production
Practical engineering patterns to reduce LLM latency and cost by choosing compact I/O formats, optimizing schemas for model comprehension, and building self-healing validation and retry loops.
Asutosh Sidhya
Tool-calling latency: practical JSON-schema and constrained-decoding optimizations for production agentic LLMsAI
2026-10-0512 min read
Tool-calling latency: practical JSON-schema and constrained-decoding optimizations for production agentic LLMs
Practical guide to minimize LLM tool-calling latency by optimizing JSON schemas, constrained decoding, token budgets, and validation pipelines for production agentic workflows.
Asutosh Sidhya
DeepSeek-R1 & GRPO: The Open-Weights Reasoning ArchitectureAI
2026-05-156 min read
DeepSeek-R1 & GRPO: The Open-Weights Reasoning Architecture
Architecting cost-efficient reasoning pipelines with DeepSeek-R1, Group Relative Policy Optimization (GRPO), Multi-head Latent Attention (MLA), and local vLLM deployments.
Asutosh Sidhya
Building a Multi-Agent AI Framework (Part 1/5): Core Event Loop & State MachineAI
2026-03-1810 min read
Building a Multi-Agent AI Framework (Part 1/5): Core Event Loop & State Machine
Step 1 in our 5-part masterclass: Designing a deterministic state machine, agent runtime loop, and typed tool contracts in TypeScript.
Asutosh Sidhya