Tool-Calling Schemas That Don't Break: Robust Function Definitions
Function-calling reliability is mostly a schema-design problem. The 2026 patterns for tool definitions that LLMs actually call correctly.
8 min read
Agentic AI & LLMs
Agentic AI & LLMs archive page 253 of 631
Agentic AI & LLMs
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
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The Transformer Math Behind Long-Context: Cost vs Capability
Why long context is expensive, where the cost shows up, and the 2026 tricks that let frontier models serve million-token windows.
7 min read
Time-to-First-Byte Optimization for LLM-Backed UIs
Time-to-first-byte makes LLM UIs feel fast. The 2026 patterns for shaving TTFB without breaking the actual response.
7 min read
Vector Database Benchmarks 2026: pgvector 0.9, Qdrant, Weaviate, Milvus, LanceDB
The five vector databases competing for production traffic in 2026, benchmarked on QPS, recall, hybrid search, and operational cost.
9 min read
Vector DB Sharding Strategies for Hundreds of Millions of Vectors
Sharding patterns that hold up beyond 100M vectors. The 2026 designs for partition keys, replication, and rebalancing.
8 min read
Vector Index Algorithms Compared: HNSW, IVF, ScaNN, DiskANN
The four major vector index algorithms in 2026 — HNSW, IVF, ScaNN, DiskANN — and which one fits your scale, recall, and latency budget.
8 min read
Modal vs Replicate vs Baseten for Voice AI: When Self-Host Wins
Serverless GPU at $0.59–$3.95 per hour looks tempting until you measure cold start. Here is the honest break-even for self-hosting voice TTS or STT vs paying Deepgram or ElevenLabs.
12 min read
Deploy a Voice Agent on fly.io with Multi-Region Routing
fly.io runs voice agents close to every user. Real working fly.toml, Pipecat in Docker, and fly-replay for sticky WebSocket sessions across 35 regions.
12 min read
Capacity Planning for Voice AI: Concurrent Calls, GPU Headroom, and Burst Math
Concurrent-call capacity is the single most-important scalability metric for voice AI. Here's the math behind sizing a fleet that survives Monday-morning peaks without overpaying on GPUs.
11 min read