Prompt Injection, Clearly Explained ByteByteAI 2026-05-13 | Enrollment for the AI Engineering Cohort is Now Open. Check it out here: go.bytebytego.com/yt-ai-desc
What Are Subagents in Claude Code? ByteByteAI 2026-06-25 | This short video explains what subagents are in Claude Code and how they keep your main session focused by delegating tasks to specialized AI assistants.
How AI Generates Images ByteByteAI 2026-06-23 | How does AI turn random noise into a stunning image? In 30 seconds, here's how diffusion models work, the tech behind most state-of-the-art image generators. Start with noise, refine step by step, guided by your prompt.
Claude Fable 5: Everything You Need to Know! ByteByteAI 2026-06-16 | Enrollment for the AI Engineering Cohort is Now Open. Check it out here: go.bytebytego.com/yt-ai-desc
RAGs Explained in 40 Seconds ByteByteAI 2026-05-21 | Retrieval-Augmented Generation (RAG) in 40 seconds. The core pattern behind every production LLM app that needs up-to-date or private knowledge.
How LLMs See: Tokenization in 30 seconds ByteByteAI 2026-05-19 | Ever wonder how an LLM actually reads your text? It doesn't see words. It sees tokens. In 30 seconds, here's how tokenization breaks language into the chunks a model actually processes.
Claude Checkpoints Explained ByteByteAI 2026-05-07 | Checkpoints in Claude Code let you save your progress and roll back to any previous state. Here's how they work and when to use them.
What is Plan Mode in Claude Code? ByteByteAI 2026-05-05 | Enroll to Become an AI Engineer | Cohort-based Course: go.bytebytego.com/bbai-yt
Permissions in Claude Code ByteByteAI 2026-05-02 | Enroll to Become an AI Engineer | Cohort-based Course: go.bytebytego.com/bbai-yt
Why Everyone Should Know About AI Evals: The Fundamentals Explained ByteByteAI 2026-04-29 | Enrollment for the AI Engineering Cohort is Now Open. Check it out here: go.bytebytego.com/yt-ai-desc
What is CLAUDE.md? ByteByteAI 2026-04-24 | Enroll to Become an AI Engineer | Cohort-based Course: go.bytebytego.com/bbai-yt
Coding Agents Explained: How Claude Code, Codex & Cursor Actually Work ByteByteAI 2026-04-21 | Enrollment for the AI Engineering Cohort is Now Open. Check it out here: go.bytebytego.com/yt-ai-desc
12 Claude Code Features Every Engineer Should Know: Subagents, CLAUDE.md, Checkpoints, MCP, and more ByteByteAI 2026-03-27 | Last Day to Enroll: Become an AI Engineer | By building, not just watching | Cohort 5: go.bytebytego.com/bbai-ytChapters00:00:10 CLAUDE.md00:00:52 Permissions00:01:38 Plan Mode00:02:14 Checkpoints00:02:58 Skills00:03:39 Hooks00:04:10 MCP00:04:37 Plugins00:05:14 Context Management00:05:49 Slash Commands00:06:13 Subagents
What’s Next in AI: 5 Trends to Watch in 2026 ByteByteAI 2026-03-11 | Enrollment for the AI Engineering Cohort is Now Open. Check it out here: go.bytebytego.com/yt-ai-descChapters00:00:00 Intro00:00:43 Reasoning00:02:26 Agents00:03:39 Coding00:04:50 Open-weights00:05:39 Multimodal
What Are Agent Skills Really About? ByteByteAI 2026-02-16 | Enrollment for the AI Engineering Cohort is Now Open. Check it out here: go.bytebytego.com/yt-ai-desc
9 AI Concepts Explained in 7 minutes: AI Agents, RAGs, Tokenization, RLHF, Diffusion, LoRA... ByteByteAI 2026-02-05 | Enrollment for the AI Engineering Cohort is Now Open. Check it out here: go.bytebytego.com/yt-ai-descChapters00:00:13 Tokenization00:00:52 Text Decoding00:01:36 Prompt Engineering00:02:24 Agents00:02:56 RAGs00:03:32 RLHF00:04:40 VAE00:05:30 Diffusion00:05:58 LoRA
What Are AI Agents & How Do They Work? ByteByteAI 2026-01-19 | Last Call: Enrollment for the AI Engineering Cohort Ends this Week. Check it out here: go.bytebytego.com/yt-ai-desc
What is Prompt Engineering? ByteByteAI 2025-11-04 | We just launched Become an AI Engineer | Learn by Doing: Cohort 2.Check it out here: go.bytebytego.com/yt-ai-desc
How Reasoning LLMs Like GPT-5 Are Built? ByteByteAI 2025-09-10 | Ali Aminian is the Co-author of ML System Design & Gen AI Interview books.In this video, we are going to talk about:1. What reasoning LLMs are2. How to build reasoning LLMs3. The GPT-5 unified systemSince this is a brand-new channel, we’ll be experimenting with different formats and levels of depth. Your feedback will be super valuable as we shape this journey together. Thank you!Links:- Introducing OpenAI o1: openai.com/o1- O1 Evaluation: openai.com/index/learning-to-reason-with-llms- Wikipedia Reason: en.wikipedia.org/wiki/Reason- Denny Zhou: dennyzhou.github.io- LMArena Leaderboard: lmarena.ai/leaderboard/text- Few-shot CoT prompting paper: arxiv.org/abs/2201.11903- Zero-shot CoT prompting paper: arxiv.org/abs/2205.11916- DeepMind paper explaining inference-time search strategies: arxiv.org/abs/2408.03314- STaR paper: arxiv.org/abs/2203.14465- OpenAI’s “Let’s Verify Step by Step” paper: arxiv.org/abs/2305.20050- Self-correction with RL paper: arxiv.org/abs/2409.12917- Meta CoT paper: arxiv.org/abs/2501.04682- O1 Replication (journey learning) paper: arxiv.org/abs/2410.18982- GPT-5 System Card: openai.com/index/gpt-5-system-card- Safe-completions technical report: cdn.openai.com/pdf/be60c07b-6bc2-4f54-bcee-4141e1d6c69a/gpt-5-safe_completions.pdfChapters00:00:00 Introduction to Reasoning00:09:40 Inference-time Techniques00:17:14 Training-time Techniques00:22:19 GPT-5 Unified System
