Tutorial
Research papers, repositories, and articles about tutorial
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hello-agents
A Chinese-language tutorial project titled "从零开始构建智能体" (Building Agents from Scratch), walking through agent principles and practical implementations. Good onboarding material if you want to upskill teammates on modern agentic patterns. ([github.com](https://github.com/trending?since=daily))
An Introduction to Large Language Models: Prompt ...
This introductory post explains what LLMs are and why they’re powerful, then walks through practical prompt‑engineering patterns (zero‑shot, few‑shot, chain‑of‑thought) and P‑tuning as a lightweight way to specialize models for particular tasks. Developers new to LLMs get concrete examples of how to structure prompts and when to switch from prompting to parameter‑efficient tuning, along with intuition about the trade‑offs in scale and data. ([developer.nvidia.com](https://developer.nvidia.com/blog/an-introduction-to-large-language-models-prompt-engineering-and-p-tuning/))
TensorStore for High-Performance, Scalable Array Storage
TensorStore is an open-source C++ and Python library for working with massive n‑dimensional arrays, providing a uniform API over formats like Zarr and N5 and backends like GCS, local filesystems, HTTP, and in‑memory storage, with ACID transactions and async I/O. For ML and scientific developers, it’s a practical way to manage petascale datasets and large model checkpoints (e.g., PaLM) without custom sharding logic, while keeping read/write concurrency and performance under control. ([ai.googleblog.com](https://ai.googleblog.com/2022/09/tensorstore-for-high-performance.html))