Learning & reference
Learning & reference
- academic venues & institutes (26)
- courses & textbooks (30)
- definitions & canon (18)
- discovery & reports (81)
- practice guides (best/worst) (22)
177 resources · page 6 of 6
Convex Optimization
by Stephen Boyd and Lieven Vandenberghe (Stanford University)
Boyd and Vandenberghe's Convex Optimization book site with free PDF, slides and exercises.
Kraken
Kraken documentation: open-source text recognition system for historical and non-Latin scripts.
Language Models are Few-Shot Learners
by Tom B. Brown et al. (OpenAI)
arXiv paper (2020) "Language Models are Few-Shot Learners", introducing GPT-3 and in-context few-shot learning.
OpenNMT
by OpenNMT project (Harvard NLP and SYSTRAN)
OpenNMT site: open-source ecosystem for neural machine translation with training and deployment tools.
pgmpy
pgmpy documentation: Python library for probabilistic graphical models and causal inference.
Pyro
by Pyro project (Uber AI Labs)
Pyro: deep probabilistic programming library on PyTorch with inference tutorials.
Scaling Laws for Neural Language Models
by Jared Kaplan et al. (OpenAI)
arXiv paper (2020) "Scaling Laws for Neural Language Models", measuring power-law scaling of language model loss with size, data and compute.
scvi-tools
scvi-tools: library of probabilistic deep generative models for single-cell omics data.
Switch Transformers
by William Fedus et al. (Google)
arXiv paper (2021) introducing Switch Transformers, sparse mixture-of-experts models scaled to a trillion parameters.
AWQ
by Ji Lin et al. (MIT HAN Lab)
arXiv paper (2023) introducing AWQ, activation-aware weight quantization for LLM compression.
ELIS 2025 report (European Language Industry Survey)
European Language Industry Survey 2025 report (PDF) on trends, including AI, in the translation industry.
GPTQ
by Elias Frantar et al. (Institute of Science and Technology Austria)
arXiv paper (2022) introducing GPTQ, accurate post-training weight quantization for generative transformers.
HBS: Navigating the Jagged Technological Frontier (BCG study)
Harvard Business School working paper Navigating the Jagged Technological Frontier: field experiment with BCG consultants using GPT-4.
Mem0 paper
by Prateek Chhikara et al. (Mem0)
arXiv paper (2025) introducing Mem0, scalable long-term memory for production AI agents, with benchmarks.
Olmo 3 technical report
arXiv paper (2025) Olmo 3 technical report on Ai2's fully open 7B and 32B models.
Smol Training Playbook (Hugging Face Space)
by Hugging Face Smol Models Research
Hugging Face Smol Training Playbook: end-to-end account of training the SmolLM3 model, including failures and decisions.
Stanford CS336 Language Modeling from Scratch
Stanford CS336 Language Modeling from Scratch course site with schedule, lectures and assignments on building LLMs.