AIQB
TutorialsOrdinary

Your system prompt is silently killing your prompt cache

Source: DEV Community·
DeepSeek

Summary

A benchmark on DeepSeek. Moving roughly 30 tokens from the top of a system message to the bottom cut...
CategoryAI Tutorials & Practice
TierOrdinary
Published
Indexed by AIQB
SourceDEV Community
AIQB record IDintel-dbd1d18b90dd6d8c68bc9d72
Read original source ↗More Tutorials

Related stories

Matched by category, entity tags and source

TutorialsOrdinary
Running the 510 GB DeepSeek-V4.1-Flash on an 8 GB GPU — and three bugs that never raise an error
My home machine for local models is modest: an RTX 5060 with 8 GB, a Core Ultra 5 225F, 31 GiB of RAM...
Source: DEV Community · DeepSeek
TutorialsOrdinary
Export ChatGPT, Claude, Gemini, Grok, DeepSeek, Kimi, and Qwen chats to Markdown with Convolvger 0.6.0
If you have ever tried to export a ChatGPT conversation to Markdown, or save a Claude chat as a .md...
Source: DEV Community · ChatGPT / DeepSeek / Qwen
TutorialsOrdinary
Can DeepSeek 4.1 Flash Replace Your $20 Coding Subscription?
A question came up at work recently: can we ditch our $20 monthly coding subscriptions and just use...
Source: DEV Community · DeepSeek
TutorialsOrdinary
Our 3 a.m. batch job was running at Beijing's afternoon peak rate
DeepSeek's API charges two different prices for the same tokens. Which one you pay depends on what...
Source: DEV Community · DeepSeek
TutorialsOrdinary
Test-Time Compute and GRPO in Practice: From PPO to Critic-Free Reinforcement Learning
A deep dive into the paradigm shift from pre-training scaling laws to test-time compute. We deconstruct the mathematical derivation of DeepSeek-R1's Group Relative Policy Optimization (GRPO), critic-free architecture advantages, emergent s…
Source: DEV Community · DeepSeek
TutorialsOrdinary
Best Local LLM for Coding: 8GB to 24GB VRAM Picks
The best local LLM for coding by VRAM bracket: Qwen3 Coder vs DeepSeek at 8, 12, 16 and 24 GB, the right quant per card, plus a runnable Ollama setup.
Source: DEV Community · DeepSeek / Qwen / Ollama
TutorialsOrdinary
Does your WebMCP actually save time and tokens? Run an ON/OFF experiment
I added a WebMCP benchmark to DeepDeck, my MIT-licensed macOS desktop project built on DeepSeek...
Source: DEV Community · DeepSeek
TutorialsOrdinary
Shipping a Self-Contained macOS App: How 24 Absolute Library Paths Broke My DeepSeek Harness Installer
I packaged DeepSeek Harness (dsh) into a double-clickable macOS installer for Apple Silicon. It worked on my machine — then died instantly on a clean Mac. Here's the otool -L investigation that found 24 absolute library paths baked into th…
Source: DEV Community · DeepSeek
TutorialsOrdinary
2.1 Billion Tokens for $19: DeepSeek V4.1 Flash Changed the Economics of Agentic Software Engineering
A week ago I published a fairly absurd number: 612.9 million tokens for $28.35. That was DeepSeek...
Source: DEV Community · DeepSeek
TutorialsOrdinary
DeepSeek MLA Architecture: How Multi-Head Latent Attention Cuts KV Cache by 93%
A deep mathematical and PyTorch breakdown of Multi-Head Latent Attention (MLA), matrix absorption, and decoupled RoPE.
Source: DEV Community · DeepSeek