Kimsia

The Most Beginner-Friendly AI Agent Resources I’ve Seen This Year: Here’s the breakdown: 👉 Rule #1: Define the Agent Before You Build One Most confuse agents with chatbots that call tools Chip Huyen’s explains the distinction Agents are autonomous systems that reason and act toward goals 🔗 https://huyenchip.com/2025/01/07/agents.html 👉 Rule #2: Prioritize Usefulness Over Autonomy Chasing full autonomy too early is a trap. OpenAI’s makes it clear The real benchmark is being reliably helpful in real-world settings 🔗 https://cdn.openai.com/business-guides-and-resources/a-practical-guide-to-building-agents.pdf 👉 Rule #3: Master the Patterns That Make Agents Work Anthropic breaks down proven agent architectures used in real deployments So you can skip the guesswork and build systems that actually hold up in production 🔗 https://www.anthropic.com/engineering/building-effective-agents... See more

Google’s CEO says AI is jagged, not general. Here’s what that means: • 𝗪𝗵𝗲𝘁𝗵𝗲𝗿 𝗔𝗚𝗜 𝗮𝗿𝗿𝗶𝘃𝗲𝘀 𝗼𝗿 𝗻𝗼𝘁, 𝘄𝗲’𝗹𝗹 𝘀𝘁𝗶𝗹𝗹 𝗳𝗮𝗰𝗲 𝗺𝗮𝘀𝘀𝗶𝘃𝗲 𝗱𝗶𝘀𝗿𝘂𝗽𝘁𝗶𝗼𝗻: Token use is exploding. Real use cases are forming. Society’s shockwaves are already here. • 𝗔𝗜 𝗮𝗱𝘃𝗮𝗻𝗰𝗲𝘀 𝗮𝗿𝗲 𝗽𝗮𝘁𝗰𝗵𝘆—𝗯𝗿𝗶𝗹𝗹𝗶𝗮𝗻𝗰𝗲 𝗺�... See more

Best mental reset I’ve learned: If your mind is loud — Write. If your mind is empty — Read. If your mind is racing — Walk. If your mind is tired — Sleep. If your mind is sharp — Build. Most problems are just mismatched energy. Get the inputs right, the rest follows.

LLMs Get Lost in Multi-turn Conversation The cat is out of the bag. Pay attention, devs. This is one of the most common issues when building with LLMs today. Glad there is now paper to share insights. Here are my notes: The paper investigates how LLMs perform in realistic, multi-turn conversational settings where user instructions are often u... See more

Top 50 LLM Interview Questions. Looks like a great resource to learn LLM basics: