Your Chatbot Output is Full of Hallucinations (Use This)

Опубликовано: 21 Май 2026
на канале: Ray Codes
73
3

Stop guessing if your AI prompts work! Using DeepEval for LLM evaluation on local AI models like DeepSeek v4 and Gemma 4 vs Qwen allows you to test agentic AI completely free. We set up Ollama vs Gemma 4 inside VS Code for flawless automated AI testing.

Are you still manually reading your chatbot's output to check for hallucinations? DeepEval changes everything by bringing Pytest-like logic to artificial intelligence. By leveraging Deep Native Ollama Integration, you can use local models like DeepSeek v4 Pro or Gemma 4 as a judge to continuously grade your RAG pipelines and AI agents without paying a single cent in API fees. It's time to build stable, scalable AI applications with mathematical proof that your prompts actually work.

Chapters:
0:00 Intro
1:25 Core Metrics
3:05 Agent Testing
4:00 RAG Metrics
5:37 Project Setup
7:32 Pulling Models
9:06 Python Script
12:12 Running Evals
14:24 Final Results

🔗 RESOURCES & LINKS :

💻 Codes used in Video: https://github.com/47thtechcorner/Ray...

🔥 To support the channel:
☕ Buy Me a Coffee : https://ko-fi.com/prayasjain
🍵 Buy Me a Chai : https://getmechai.vercel.app/link.htm...

📂 Build with AI:    • Playlist  
📂 Build with AI - Shorts:    • Build with AI - Shorts  
📂 AI Agents in Python:    • AI Agents in Python  
📂 Python for AI Full Course:    • Python for AI Full Course  

👇 Subscribe for more AI tutorials:    / @raycodingcorner  

#DeepEval #LocalAI #DeepSeekV4 #Gemma4