Uploaded February 2026 | Updated September 2026, 2 weeks ago
🚀 The LangChain 10 Days FREE Bootcamp is live: 10 lessons, free AI models only, from your first API call to a production grade RAG agent. Start with Day 0 for the roadmap and setup.
📺 Full playlist: youtube.com/watch?v=KJ3_NExk7-Q&list=PLW4pPr9JCovI&index=1
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Most AI engineers know how to write prompts. Very few understand why prompts fail in production. In this video, we cover 5 critical prompt engineering mistakes that silently kill performance in real-world LLM systems — structured as an interview Q&A so you can directly use this in your next AI Engineer or GenAI interview.
We break down each mistake with the exact strong answer you should give in an interview, the root cause of why it fails in production, and the correct engineering approach to fix it. Topics include vague instructions, missing output format definitions, context overload, poor testing practices, and wrong temperature settings.
Whether you are preparing for AI Engineer, LLM Engineer, or GenAI roles — or building production-grade AI applications — this lecture gives you the structured thinking that separates junior engineers from senior ones.
Watch till the end for the complete 5-mistake summary table you can use for revision before your interview.
📚 Learn More with My Udemy Courses
🧠 Master OpenAI Agent Builder - Deploy Chatbot to Your Website
udemy.com/course/master-openai-agent-builder-low-code-ai-projects-workflow/?referralCode=B0B67D18B1013E488FB7
🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
udemy.com/course/mcp-mastery-build-ai-apps-with-claude-langchain-and-ollama/?referralCode=31C17C306A59601B8689
🚀 Agentic RAG with LangChain & LangGraph
udemy.com/course/agentic-rag-with-langchain-and-langgraph/?referralCode=C0BCC208F53AF2C98AC5
🧠 LangGraph with Ollama
udemy.com/course/langgraph-with-ollama/?referralCode=B646DCB44A189BEBC20C
⚡ Ollama and LangChain
udemy.com/course/ollama-and-langchain/?referralCode=7F4C0C7B8CF223BA9327
🔧 Fine-Tuning LLM with Hugging Face Transformers
udemy.com/course/fine-tuning-llm-with-hugging-face-transformers/?referralCode=6DEB3BE17C2644422D8E
📖 NLP with BERT in Python
udemy.com/course/nlp-with-bert-in-python/?referralCode=063516494616C76907CD
🌐 Connect with Me
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LinkedIn: linkedin.com/in/laxmimerit
GitHub: github.com/laxmimerit
Twitter (X): twitter.com/laxmimerit
📌 Support the Channel
👍 Like the video if it helps you
💬 Comment your doubts & feedback
🔔 Subscribe for free weekly AI & Data Science content
#DataScience #MachineLearning #LangChain #LangGraph #Ollama #Python #AI #DeepLearning #NLP #GenerativeAI #LLM #HuggingFace #BERT
🚀 The LangChain 10 Days FREE Bootcamp is live: 10 lessons, free AI models only, from your first API call to a production grade RAG agent. Start with Day 0 for the roadmap and setup.
📺 Full playlist: youtube.com/watch?v=KJ3_NExk7-Q&list=PLW4pPr9JCovI&index=1
----------
Most AI engineers know how to write prompts. Very few understand why prompts fail in production. In this video, we cover 5 critical prompt engineering mistakes that silently kill performance in real-world LLM systems — structured as an interview Q&A so you can directly use this in your next AI Engineer or GenAI interview.
We break down each mistake with the exact strong answer you should give in an interview, the root cause of why it fails in production, and the correct engineering approach to fix it. Topics include vague instructions, missing output format definitions, context overload, poor testing practices, and wrong temperature settings.
Whether you are preparing for AI Engineer, LLM Engineer, or GenAI roles — or building production-grade AI applications — this lecture gives you the structured thinking that separates junior engineers from senior ones.
Watch till the end for the complete 5-mistake summary table you can use for revision before your interview.
📚 Learn More with My Udemy Courses
🧠 Master OpenAI Agent Builder - Deploy Chatbot to Your Website
udemy.com/course/master-openai-agent-builder-low-code-ai-projects-workflow/?referralCode=B0B67D18B1013E488FB7
🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
udemy.com/course/mcp-mastery-build-ai-apps-with-claude-langchain-and-ollama/?referralCode=31C17C306A59601B8689
🚀 Agentic RAG with LangChain & LangGraph
udemy.com/course/agentic-rag-with-langchain-and-langgraph/?referralCode=C0BCC208F53AF2C98AC5
🧠 LangGraph with Ollama
udemy.com/course/langgraph-with-ollama/?referralCode=B646DCB44A189BEBC20C
⚡ Ollama and LangChain
udemy.com/course/ollama-and-langchain/?referralCode=7F4C0C7B8CF223BA9327
🔧 Fine-Tuning LLM with Hugging Face Transformers
udemy.com/course/fine-tuning-llm-with-hugging-face-transformers/?referralCode=6DEB3BE17C2644422D8E
📖 NLP with BERT in Python
udemy.com/course/nlp-with-bert-in-python/?referralCode=063516494616C76907CD
🌐 Connect with Me
Website & Blogs: kgptalkie.com
LinkedIn: linkedin.com/in/laxmimerit
GitHub: github.com/laxmimerit
Twitter (X): twitter.com/laxmimerit
📌 Support the Channel
👍 Like the video if it helps you
💬 Comment your doubts & feedback
🔔 Subscribe for free weekly AI & Data Science content
#DataScience #MachineLearning #LangChain #LangGraph #Ollama #Python #AI #DeepLearning #NLP #GenerativeAI #LLM #HuggingFace #BERT
