☀️ Tuesday Noon: AI Vocabulary Deep Dive
Welcome to your Noon English session! Today we explore the language of Artificial Intelligence — the terms your teammates use in Slack, the buzzwords in job descriptions, and the concepts you need to explain clearly to non-technical stakeholders.
🌟 Word of the Day: Hallucinate
| IPA | /həˈluː.sɪ.neɪt/ |
| Vietnamese | Ảo giác (khi AI tạo ra thông tin sai hoặc bịa đặt) |
| Part of Speech | Verb |
Definition: When an AI model generates confident-sounding but factually incorrect or completely fabricated information.
📝 Example Sentences
- “The chatbot hallucinated a research paper that doesn’t actually exist.”
- “We need to validate every API response because the model sometimes hallucinates function names.”
- “Our client was upset when the AI hallucinated product details in the generated report.”
🔗 References
📚 Vocabulary Table: 5 Essential AI Terms
| Phrase | Vietnamese Meaning | Example |
|---|---|---|
| inference | Suy luận / quá trình AI đưa ra kết quả | ”Inference latency dropped to 200ms after we optimized the model.” |
| fine-tuning | Tinh chỉnh mô hình | ”We fine-tuned the base model on our internal support tickets.” |
| embeddings | Véc-tơ nhúng (biểu diễn dữ liệu dạng số) | “The search uses embeddings to find semantically similar documents.” |
| context window | Cửa sổ ngữ cảnh (lượng văn bản AI có thể xử lý cùng lúc) | “GPT-4’s context window is large enough to process entire codebases.” |
| guardrails | Rào cản / giới hạn an toàn cho AI | ”We added guardrails to prevent the model from generating harmful content.” |
🗣️ Pronunciation Guide
Practice Sentence:
“The model’s inference speed improved after fine-tuning, but we still need stronger guardrails to prevent it from hallucinating.”
Breakdown:
| Word | IPA | Stress | Tip |
|---|---|---|---|
| inference | /ˈɪn.fər.əns/ | IN-fer-ence | 3 syllables, stress on first |
| fine-tuning | /faɪn ˈtjuː.nɪŋ/ | fine-TU-ning | hyphenated compound |
| guardrails | /ˈɡɑːrd.reɪlz/ | GUARD-rails | stress on first syllable |
| hallucinating | /həˈluː.sɪ.neɪ.tɪŋ/ | ha-LU-ci-na-ting | 5 syllables |
🎧 Audio References
✏️ Exercise 1: Vocabulary in Context
Fill in the blank with the correct word: (inference / fine-tuning / embeddings / context window / hallucinate)
- “The AI tends to ________ when asked about very recent events it wasn’t trained on.”
- “We store user queries as ________ in a vector database for semantic search.”
- “After ________ the model on our domain data, accuracy improved by 30%.”
- “If the ________ is too small, the model loses track of earlier parts of the conversation.”
- “Running ________ on a GPU cluster is much faster than on CPU.”
✅ Check Your Answers
- hallucinate — AI bịa thông tin khi không biết
- embeddings — lưu trữ dạng véc-tơ để tìm kiếm ngữ nghĩa
- fine-tuning — tinh chỉnh mô hình trên dữ liệu chuyên biệt
- context window — cửa sổ ngữ cảnh xác định lượng thông tin AI nhớ được
- inference — quá trình AI chạy để đưa ra kết quả
✏️ Exercise 2: Translation Challenge
Translate these Vietnamese sentences into natural English using today’s vocabulary:
- “Mô hình này đôi khi tạo ra thông tin sai, chúng ta cần thêm rào cản an toàn.”
- “Chúng tôi đang tinh chỉnh mô hình trên dữ liệu hợp đồng pháp lý của công ty.”
- “Tốc độ suy luận là vấn đề lớn nhất trong hệ thống thời gian thực của chúng tôi.”
✅ Sample Answers
- “This model sometimes hallucinates — we need stronger guardrails.”
- “We’re fine-tuning the model on our company’s legal contract data.”
- “Inference speed is our biggest challenge in the real-time system.”
Vocabulary used: hallucinate, guardrails, fine-tuning, inference
💡 Idiom of the Day: “garbage in, garbage out”
| Vietnamese | Đầu vào rác, đầu ra rác — chất lượng kết quả phụ thuộc vào chất lượng đầu vào |
| Pronunciation | /ˈɡɑːr.bɪdʒ ɪn, ˈɡɑːr.bɪdʒ aʊt/ |
| Usage | Very common in tech and AI discussions |
Usage Examples:
- “The model’s outputs are unreliable because the training data wasn’t cleaned — garbage in, garbage out.”
- “Before we blame the AI, let’s check the input quality. Remember: garbage in, garbage out.”
🎭 Mini Dialogue: Code Review Discussion
Scene: Two engineers reviewing an AI feature in a pull request on Slack.
Priya: Hey, I looked at the PR. The inference latency looks good, but I’m worried the model might hallucinate on edge cases.
Thuan: Yeah, that’s why I added guardrails in the post-processing step — it filters out responses below a confidence threshold.
Priya: Smart. What about the context window? Are we truncating inputs properly?
Thuan: We’re cutting at 3,000 tokens. The fine-tuned model handles that range well based on our evals.
Priya: Perfect. And the embeddings for the search feature — are those cached?
Thuan: Yes, cached at the document level. Regenerating only when content changes.
Priya: Looks solid. Approving this one. 🚀
Vocabulary used: inference latency, hallucinate, guardrails, context window, fine-tuned, embeddings
🎯 Your 2-Minute Challenge
Right now, do this:
Open a new Slack message or Google Doc and write 2–3 sentences explaining what “AI hallucination” means to a non-technical colleague — as if they just asked you “why did the AI give us wrong info?”
Example starter:
“When an AI hallucinates, it doesn’t know that it doesn’t know something. It generates a confident-sounding answer that’s actually made up. That’s why we always need guardrails to validate outputs before they reach users.”
✍️ Try to use at least 3 words from today’s vocabulary table!
📊 Today’s Summary
| Term | Quick Meaning |
|---|---|
| hallucinate | AI tạo thông tin sai/bịa đặt |
| inference | AI chạy để đưa ra kết quả |
| fine-tuning | Tinh chỉnh mô hình trên dữ liệu mới |
| embeddings | Biểu diễn ngữ nghĩa dạng số |
| context window | Lượng thông tin AI xử lý cùng lúc |
| guardrails | Rào cản an toàn cho AI |
🕛 Noon session complete! Come back at 6PM for your evening English practice.
Part of the Daily English Series — designed for Vietnamese tech professionals.