FAQ

It's the personal blog of Perivitta Rajendran, an AI Engineer based in Kuala Lumpur, Malaysia. The site shares articles, guides, and lessons on machine learning and artificial intelligence — written to make complex AI topics simple, practical, and accessible.

Perivitta ("Peri") is an AI engineer who has worked in the field since 2021. She writes about building reliable, real-world AI systems, with a focus on practical outcomes rather than chasing perfect metrics.

Her main areas of focus are designing AI systems that combine language models with tools and data, building retrieval-based systems that help AI give grounded answers, building AI agents that can reason and use tools, and evaluating AI quality in real-world use.

She holds 13 certifications across three major cloud providers — Amazon Web Services (AWS), Google Cloud (GCP), and Microsoft Azure — covering cloud, machine learning, and data topics.

Through the Contact page, by email, on LinkedIn, or on GitHub. The Contact page also includes a simple message form (name, email, optional phone number, and your message).

She's based in Kuala Lumpur, Malaysia, and is open to conversations, collaborations, and interesting problems in AI and data.

Home, About, Posts (the blog), Learn (guided learning paths), Leaderboard (AI model rankings), and Contact — all accessible from the navigation bar at the top of every page.

An introduction, a quick look at the topics the blog covers, the most recently published posts, a way to ask the site's AI assistant a question, a preview of the AI model leaderboard, a preview of the guided learning paths, and a list of older posts.

Yes. A theme toggle in the navigation bar lets you switch between light and dark mode, and your choice is remembered the next time you visit.

Yes, the site is fully responsive. On smaller screens, the navigation links collapse behind a hamburger icon in the top corner — tap it to open the menu, tap it again (or tap a link, or tap outside the menu) to close it.

Yes, once you've scrolled down a bit, a small "back to top" button appears in the corner of the screen. Click it to smoothly scroll back to the top of the page.

You'll land on a friendly "page not found" screen with quick links back to the homepage or the full list of posts.

Visit the Posts page for the complete, browsable archive. The homepage also shows recent posts and a preview of older ones, with links through to the full list.

Yes, the Posts page has a search box that matches against post titles, topics, and keywords as you type.

Yes, the Posts page offers topic filters such as RAG, LLM, Agents, Embeddings, MLOps, Fine-Tuning, Prompting, Regression, and Observability, each showing how many posts match.

It takes you straight to a randomly chosen post — a good option if you're not sure what to read next.

Yes, posts you've opened are marked as read, and posts you've explicitly marked complete are shown as done, so you can pick up where you left off.

A "See more" button loads additional posts a few at a time and shows you how many you've viewed out of the total.

Each post listing shows an estimated reading time (e.g. "5 min read") so you can pick something that fits the time you have.

Topics range from beginner-friendly machine learning fundamentals to more advanced subjects like language models, fine-tuning, and running AI systems in production. Each post is labeled with a difficulty level — Beginner, Intermediate, or Advanced — so you can choose content that matches your experience.

Yes — every post includes a "Listen to this post" player at the top. Press play to start, and the text currently being read is highlighted as it goes so you can follow along. While it's playing you can pause, jump to the previous or next section, or drag the progress bar to skip ahead. A settings icon lets you change the playback speed or pick a different voice.

Yes — near the top of every post you'll find an "A-" and "A+" control. Click "A-" to shrink the text or "A+" to enlarge it; there are five size steps in total, and whichever size you land on is remembered the next time you read a post.

Click the "Reading mode" button near the top of a post to switch to a simplified, distraction-free view that hides extra page elements so you can focus purely on the text. An "Exit reading mode" button appears while it's active — click it to return to the normal view.

Yes — for posts with several sections, a table of contents appears alongside the article (next to the text on wider screens), listing each heading as a clickable link. Click any entry to jump straight to that section, and the list highlights your current section automatically as you scroll. On narrower screens, it instead appears as a "Contents" dropdown you can tap open near the top of the post.

Yes, code examples include a one-click "Copy" button.

Yes, hovering over a section heading reveals an option to copy a link straight to that part of the article.

Those are glossary tooltips. Hovering, tapping, or focusing on a highlighted term shows a short, plain-language explanation without leaving the page.

Yes — click the "AI Summary" button near the top of a post, and a panel opens with a short, bullet-point overview of the article. It takes a few seconds to generate the first time; clicking the button again simply opens or closes the panel without regenerating it.

Yes, under "Found this useful?" near the end of each post you can pick from a few quick reactions — Helpful, Insightful, Great read, Practical, or Worth sharing. Clicking one highlights it to show it's selected; clicking it again un-selects it. Your picks are saved per post, so you'll see the same reactions highlighted if you revisit later.

Yes — near the top of each post, you'll find a small "Share" row with icons for X (Twitter), LinkedIn, WhatsApp, and Facebook. Click any of them to share directly to that platform, or click the copy-link icon to copy the post's URL to your clipboard.

At the end of a post, you'll often see suggested related articles chosen based on shared topics, so you can keep exploring similar content.

Yes, posts that involve formulas or statistical notation display them clearly within the article.

Yes, many posts end with a short "Test yourself" quiz. Click the quiz header to expand it and reveal the questions; clicking the header again collapses it.

Each question gives you a few multiple-choice options to pick from. After selecting an answer, click "Show answer" to instantly see whether you were right, with the correct option highlighted and a short explanation underneath. If you'd rather answer everything first, you can fill in all the questions and click "Submit" at the bottom to grade them all at once. Once a question is graded, you can click the same button (now labeled "Hide answer" / "Show answer") to toggle the explanation open or closed at any time.

A running score (e.g. "3/5") is displayed at the top of the quiz as you answer questions. Once you've answered every question, you'll also get an overall message reflecting how you did — anything from "Perfect score" to "Worth a re-read."

Yes, a "Reset" button clears all your answers so you can go through the quiz again as many times as you like.

Yes. As you scroll through a post, a progress bar at the top fills in to show how far you've read.

At the very bottom of a post, click the "Mark as complete" button. It changes to a checkmark and "Completed" once clicked. This is also what counts toward your progress on the Learning Paths page and your reading streak, and shows up as "Done" next to that post if you look it up later on the Posts page.

It's a simple counter that goes up when you read a post on consecutive days, encouraging regular reading. Once you've read on at least two days in a row, a streak badge (e.g. "🔥 3-day streak") appears around the site, with a small celebratory animation the first time you see it each day.

It offers curated learning paths ("tracks") that guide you through related posts in a logical order — rather than just newest-to-oldest — so you can build understanding of a topic step by step.

Five tracks: ML Fundamentals (Beginner), RAG & Retrieval (Intermediate), LLM Foundations & Fine-Tuning (Advanced), AI Agents (Intermediate), and MLOps & Production LLMs (Intermediate).

Go to the Learn page and either pick a track from the "Where do I start?" picker at the top, or scroll down to browse all of them. Each track lists its lessons in order, with a "Start" button that takes you straight to the first one.

Each lesson page shows which step you're on (e.g. "Step 3 of 8"), along with "Previous" and "Next" buttons at the bottom so you can move through the track in order without returning to the Learn page each time.

At the bottom of each lesson, click "Mark as complete." The button updates to show it's done, and the lesson gets a checkmark back on the track's overview on the Learn page.

Each track on the Learn page shows a progress bar and a count like "3/8 completed," updating as you mark lessons done. There's also an overall progress bar across every track combined. Once you've made some progress, a track's button changes from "Start" to "Continue" (taking you to your next incomplete lesson) or "Review" once it's fully done.

On the final lesson of a track, you're asked to share a bit of quick feedback on the track before the "Mark as complete" button unlocks. It only takes a moment, and a status note on the page confirms once your feedback has been received.

Finishing the last lesson in a track triggers a celebration animation, and you're offered a link to jump straight into the next recommended track (or back to the Learn page, if it was the last track). Completing every track on the site unlocks a special "All tracks completed!" trophy badge on the Learn page, with an even bigger celebration — you can click the badge afterward to replay it.

A regularly updated comparison of popular AI language models, ranked by performance on general knowledge, coding, and math benchmarks.

It's a highlight of the current top 3 models, shown as cards with their overall score and a breakdown of their individual general knowledge, coding, and math scores — a quick summary before you scroll down to the full table.

By default, models are ordered by a combined score made up of three areas — general knowledge, coding ability, and math ability — with the highest combined score at the top. The top-3 podium at the top of the page always reflects this combined score, regardless of how you've sorted the table below it.

Yes. You can filter the table to show only open or only closed models, and you can click any column header (general knowledge, coding, math, or the combined score) to reorder the table by that score instead of the default ranking.

It refreshes daily to keep the rankings current.

Yes, a "Retired" column flags models that have since been discontinued by their makers.

Ore is a friendly AI assistant available on every page of the site, shown as a small chat icon you can click to ask questions.

Ore can help with questions about the site's content, Peri's background and work, and how to get in touch. It's focused specifically on this site and won't answer unrelated questions.

Ore uses AI to understand your question and help you find relevant information on the site. Further detail about how it works internally isn't shared.

Ore can give more relevant help while you're on a specific post — for example, you can ask it to summarize the post you're reading.

Yes. Tap the microphone icon to speak a single question — Ore will transcribe it for you. If you'd rather have a hands-free back-and-forth conversation, press and hold the microphone icon briefly to switch on "voice mode": Ore will then automatically start listening again each time it finishes replying, until you hold the icon again to turn it off.

Yes, click the speaker icon on any of Ore's messages to have that reply read aloud; click it again to stop. If voice mode is switched on, Ore reads its replies aloud automatically.

Things like "What should I read first?", "Posts about RAG?", "How do I get in touch?", or "What does Peri work on?"

If something goes wrong, Ore will let you know and suggest reaching Peri directly by email or LinkedIn instead.

Yes — a small easter egg. Type the letters "o-r-e" anywhere on a page (outside of a text box), or click Ore's avatar in the chat header, and you'll get a fun animated celebration with a spoken greeting.

Yes. Ore is designed to stay focused on helping with the site, no matter how a conversation is phrased.

Yes, you can subscribe using the newsletter signup form with just your email address. It's an occasional email covering AI and ML topics, from fundamentals to the latest developments — no spam, and you can unsubscribe anytime. You'll see a confirmation once you're successfully subscribed.

Yes, the site publishes an RSS feed that any feed reader can subscribe to, so new posts show up there automatically.

Things like your theme preference, text-size preference, reading streak, and which posts you've read or completed are remembered on your own device so your experience stays consistent between visits. None of this is required just to browse and read the site.

Yes, basic website analytics help Peri understand which content is most useful to readers.

Reach out through the Contact page form, or email Peri directly. She reads every message.

Yes, all content on the site is free to read, with no subscription or paywall.