a benchmark that evaluates large language models on a variety of multimodal reasoning tasks, including language, natural and social sciences, physical and social commonsense, temporal reasoning, algebra, and geometry.
focuses on understanding how these models perform in various scenarios and analyzing results from an interpretability perspective.
a benchmark designed to evaluate large language models (LLMs) specifically in their ability to answer real-world coding-related questions.
a meta-benchmark that evaluates how well factuality evaluators assess the outputs of large language models (LLMs).
evaluates LLM's ability to call external functions/tools.
An Automatic Evaluator for Instruction-following Language Models using Nous benchmark suite.
aims to track, rank, and evaluate LLMs and chatbots as they are released.
a benchmark platform for large language models (LLMs) that features anonymous, randomized battles in a crowdsourced manner.
Pushing the frontier of cost-effective reasoning.
A collection of code samples from AWS which can be adapted for use with Claude. Note that some samples may require modification to work optimally with Claude.
## Contributing
, 2, 3
Kalman & Bayesian Filters in Python
Bayesian Reasoning and Deep Learning, Slides
Boosting vs Bagging
Ensemble Learning Intro
CatBoost
adaBag R package
Practical XGBoost in Python online course (free)
xgboost vs gbm
Gradient Boosting Machine
Boosting Wikipedia Page)
Evaluating Random Forests for Survival Analysis Using Prediction Error Curve
Probabilistic Trees Research Paper
MARS
CART
Good Article
Weak side of Decision Trees
Tree Based Models in R
Variable Importance from SVM
Practical Guide to SVC, Slides
A closer look at Skip Gram Modeling
, Part 2, Part 3
, Part 2
A closer look at Skip Gram Modeling
Topic Modeling of Twitter Followers
Intuitive explanation of the Dirichlet distribution
Your Guide to Latent Dirichlet Allocation (LDA)
Bag of Words
NLP from Scratch | Google Paper
Interesting Deep Learning NLP Projects Stanford, Website
Knowledge Representation Learning Papers
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Interview with Yann LeCun | Kaggle
, Codes, GitHub
LSTM dramatically improves Google Voice Search, Another Article
Optimizing RNN Performance
Another Intro