SYNTX.AI

Latest AI news, models and releases from SYNTX.AI. ['LLM SYNTX.AI']

Agents 🇷🇺

Why Neural Networks Eat Tokens: What Happens in Long Chats and How to Cut Costs

Long AI chats with huge context windows increase token costs and can degrade model performance. A Reddit user reported spending over a billion input tokens with Claude, while another racked up about $6000 on an unattended AI agent. Studies like 'Context Rot' show that performance drops as context grows, and experts recommend splitting tasks, compacting history, and using prompt caching to economize.

Anthropic

SYNTX.AI

Habr — хаб ИИ11.08 · 16:02

Applications 🇷🇺

KERNEL in Five Minutes: Why a Good Prompt Looks Suspiciously Like a Technical Specification

The article explains the KERNEL framework for prompt engineering, which the author describes as a simple recipe: keep it simple, easy to verify, reproducible results, narrow scope, explicit constraints, and logical structure. While KERNEL is useful for everyday prompting, the article argues that real LLM production requires more than good prompts—including evals, context engineering, and tool integration. The author shares personal insights from using SYNTX.AI to compare models.

SYNTX.AI

Habr — хаб ИИ11.08 · 02:01