The 100-Page Language Models Book
thelmbook.comThe Hundred-Page Language Models Book teaches machine learning foundations, transformers, and large language models.
Looking for something like Prompt Engineering Lil'Log? Here are 5 alternatives, ranked by how closely they match it on purpose, features and platforms.
This Lil’Log article explains prompt engineering methods for steering autoregressive language models.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | The 100-Page Language Models Book | — | Not stated | Web |
| 2 | Building effective agents by Anthropic | — | Not stated | Web |
| 3 | 🪆 Introduction to Matryoshka Embedding Models | — | Not stated | Web |
| 4 | Stanford CS336: Language Modeling from Scratch | — | Not stated | Web |
| 5 | Multi-Agent Research Outline | — | Not stated | Web |
The Hundred-Page Language Models Book teaches machine learning foundations, transformers, and large language models.
This Anthropic article explains approaches to building reliable AI agents, including capabilities and safety considerations.
This article introduces Matryoshka embedding models and provides an educational overview.
Stanford CS336 provides course schedules, assignments, and materials for language modeling from scratch.
This page outlines research on large language model-based multi-agent systems.
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative