Cookiecutter Data Science V2 https://
bit.ly/461Rnvl
#AI #MachineLearning #DeepLearning #LLMs #DataScience
@miketamir
-
Cookiecutter Data Science V2 Framework Released
By
–
-
Stanford CS25: V4 with OpenAI researchers on LLMs
By
–
Stanford CS25: V4 I Jason Wei & Hyung Won Chung of OpenAI https://
bit.ly/4cS1oxu #AI #MachineLearning #DeepLearning #LLMs #DataScience -
JAX Implementation of Diffusion Transformer DiT Released
By
–
GitHub – kvfrans/jax-diffusion-transformer: Implementation of Diffusion Transformer (DiT) in JAX https://
bit.ly/3LhwKll
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Exploring Classical Regression Capabilities of Large Language Models
By
–
GitHub – AlexIoannides/llm-regression: Exploring the classical regression capabilities of LLMs. https://
bit.ly/3zF6TkT
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Regrets and Regression in Machine Learning Systems
By
–
Regrets and Regression https://
bit.ly/3zNa1uQ
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
LLM Evaluation: Key Metrics and Best Practices
By
–
Let's talk about LLM evaluation https://
bit.ly/3LhAOlB
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Spatial ML: Predicting on Out-of-Sample Data
By
–
Josiah Parry – Spatial ML: Predicting on out-of-sample data https://
bit.ly/3zBWIO1 #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Reproducing GPT-2 124M Language Model Implementation
By
–
Let's reproduce GPT-2 (124M) https://
bit.ly/3Wi3hOw #AI #MachineLearning #DeepLearning #LLMs #DataScience -
GPU Performance Acceleration in AI and Deep Learning
By
–
GPUs Go Brrr https://
stanford.io/3RYQluo #AI #MachineLearning #DeepLearning #LLMs #DataScience -
What is Prompt Optimization for Large Language Models
By
–
What is prompt optimization? – http://
jxnl.co https://
bit.ly/3W0s9Jb #AI #MachineLearning #DeepLearning #LLMs #DataScience