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Chethan Ramaswamy

Nov 1

I Tested Building an Enterprise LLMOps Pipeline on Microsoft Azure. Here’s What Surprised Me.

#ai #llm #openai #azure

7 min read

Nov 1

Prompt Engineering for Beginners (Part 2): The Anatomy of a Good Prompt

#promptengineering #beginners #ai #llm

17 min read

sun young

Nov 1

t3code: a Chinese translation of the agent harness control panel, and what it actually gets you

#ai #opensource #agents #llm

4 min read

yyyysa4

Nov 2

Same GPU, Same Model, Different Cost per Token: Benchmark Qwen3.8-27B on Your Own Prompts

#ai #llm #performance

7 min read

sun young

Nov 1

Claude-Code-Game-Studios: A Chinese Translation for Claude Code's 49-Agent Game Studio

#ai #opensource #agents #llm

4 min read

Kyle Ma

Nov 1

How to build an adversarial eval for your agent cache (and why 18 pairs matter more than a benchmark)

#ai #llm #agents

4 min read

gxqwb

Nov 1

The Data Wall: Why Synthetic Data Buys Time but Not Accuracy

#ai #machinelearning #data #llm

4 min read

Nov 1

How We Audited Model Context Protocol (MCP) Servers for SSRF: Lessons from 12 Responsible Disclosures

#ai #llm #mcp #security

3 min read

Oct 31

Agent loops for product features: budgets, errors, stops and checkpoints

#ai #llm #agents #typescript

8 min read

Oct 31

가중치 원소 0.005%만 달라도 점수가 1.4%p 움직였습니다: 생성 채점으로 모델을 비교하다 저희 보고를 철회한 과정

#ai #machinelearning #llm #benchmark

3 min read

Nov 1

POCKET-35B-GGUF: Running a 35-Billion-Parameter LLM on CPU Without a GPU

#ai #machinelearning #opensource #llm

4 min read

BytePenny

Nov 2

Scaling local AI: from one server to a cluster

#llm #machinelearning #inference #ai

5 min read

Genrius AI

Nov 1

How we fit a 27B model on a 12 GB laptop GPU

#ai #llm #machinelearning #opensource

9 min read

skvrtyk

Oct 31

The Degradation Ladder: LLMOps for When the Model Is Slow, Wrong, or Down

#ai #llm #devops #python

3 min read

frank chu

Oct 31

510 bytes boot a neural network that dreams dmesg

#programming #machinelearning #llm #ai

4 min read

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