Team IT Security (TSEC) Nachrichtenportal Logo

🔧 Why We're Changing Our Default Eval Model


Nachrichtenbereich: 🔧 Programmierung
🔗 Quelle: dev.to

We're changing the default solver model in our eval harness from Claude Sonnet 4.6 to GLM 5.1. This is the default we provide to everyone running evals on the platform. For most of the work the... [Weiterlesen]

Sharing is caring on Social Media

Reddit
Telegram
LinkedIn
Xing
Twitter
Whatsapp
Facebook
Flipboard

🔧 Julia High Performance Crash Course


📈 464.54 Punkte
🔧 Programmierung

🔧 We Fine-Tuned a 3B Model to Refuse Prompt Injections


📈 353.88 Punkte
🔧 Programmierung

🔧 Claude Opus 4.8 shipped today. Here's the upgrade decision tree the announcement skipped — and three workloads that should stay on 4.7.


📈 296.42 Punkte
🔧 Programmierung

🔧 Top 5 AI Agent Eval Tools After Promptfoo's Exit


📈 289.1 Punkte
🔧 Programmierung

🔧 EVAL #006: LLM Evaluation Tools — RAGAS vs DeepEval vs Braintrust vs LangSmith vs Arize Phoenix


📈 278.8 Punkte
🔧 Programmierung

🔧 Claude Opus 4.8 shipped this week. The buried story is your migration cadence — your agent fleet won't survive the next four months without a refactor.


📈 246.74 Punkte
🔧 Programmierung

🔧 We built a self-evolving AI. Then we evolved it ourselves.


📈 243.59 Punkte
🔧 Programmierung

🔧 Your RAG Eval Set Is Probably Wrong. The Test That Catches It.


📈 242.12 Punkte
🔧 Programmierung

🕵️ The Enemy Already Inside — Hunt Forward Lab #002: LOLBAS Detection


📈 228.92 Punkte
🕵️ Hacking

🕵️ How to Detect Persistence Mechanisms with Elastic SIEM: SOC Analyst Hands-On Lab | Hunt Forward Lab…


📈 228.92 Punkte
🕵️ Hacking

🔧 Evaluating Agent Output Quality: Lightweight Evals Without a Framework


📈 220.36 Punkte
🔧 Programmierung

🔧 Eval Set Drift: How to Know When Your Golden Set Went Stale


📈 210.06 Punkte
🔧 Programmierung

🔧 Prompts as Code: How to Version, Test, and Ship the Prompt Layer in 2026


📈 207.18 Punkte
🔧 Programmierung

🔧 Skills Without Evals Are Just Markdown and Hope


📈 207.11 Punkte
🔧 Programmierung

🔧 Why I Built a Spark-Native LLM Evaluation Framework


📈 202.72 Punkte
🔧 Programmierung

🔧 Stop Engineering Prompts: How an Eval-First Harness Let Us Ship 25 Algorithm Versions Autonomously


📈 199.62 Punkte
🔧 Programmierung

🔧 Arbitrary JavaScript Execution via eval() in chrome-local-mcp


📈 190.76 Punkte
🔧 Programmierung

🔧 Stop Putting Best Practices in Skills


📈 189.52 Punkte
🔧 Programmierung

🔧 ""Rediska" - a bad man" - Redis in Kubernetes Ecosystems: From Configuration Leaks to Lateral Movement in Red Team.


📈 187.84 Punkte
🔧 Programmierung

🔧 ""Rediska" - a bad man" - Redis in Kubernetes Ecosystems: From Configuration Leaks to Lateral Movement in Red Team.


📈 187.84 Punkte
🔧 Programmierung

🔧 What is an LLM evaluation harness? A deep dive into lm-eval-harness


📈 183.88 Punkte
🔧 Programmierung

🕵️ How to Detect DNS Tunneling with Elastic SIEM: SOC Analyst Hands-On Lab | Hunt Forward Lab #003


📈 183.42 Punkte
🕵️ Hacking

🔧 The Intelligence Stack: Engineering Production-Grade Agentic AI Systems


📈 176.07 Punkte
🔧 Programmierung

🕵️ How to Detect Lateral Movement with Elastic SIEM: SOC Analyst Hands-On Lab | Hunt Forward Lab #006


📈 174.85 Punkte
🕵️ Hacking

🔧 How to Evaluate AI Agent Output Without Calling Another LLM


📈 170.43 Punkte
🔧 Programmierung

🔧 Prompt Management Is Infrastructure: Requirements, Tools, and Patterns


📈 170.31 Punkte
🔧 Programmierung

📰 How to choose the best LLM using R and vitals


📈 165.83 Punkte
🔧 AI Nachrichten

🔧 Best LLMs for Ollama on 16GB VRAM GPU


📈 164.36 Punkte
🔧 Programmierung

🔧 How to Write Custom Semgrep Rules: Complete Tutorial


📈 163.09 Punkte
🔧 Programmierung

🔧 The Synthetic Data Trap: When It Helps, When It Lies


📈 163.09 Punkte
🔧 Programmierung

🔧 Madrigal's "Failures as Eval Suites" Pattern and How Flow Already Provides the Infrastructure


📈 162.88 Punkte
🔧 Programmierung

🔧 Your AI isn't too weak. Your evals are missing.


📈 161.44 Punkte
🔧 Programmierung

🔧 Building Reliable AI with `@hazeljs/eval` in NodeJS with Typescript


📈 161.41 Punkte
🔧 Programmierung

🔧 I Fine-Tuned Gemma 4 for LaTeX OCR. The Success Was the Problem.


📈 160.38 Punkte
🔧 Programmierung

🔧 Building an Eval Stack for a LangGraph Agent: From LangFuse to AWS AgentCore


📈 160.02 Punkte
🔧 Programmierung