Introducing Google’s LangExtract tool
#Article #Large_Language_Models #Editors_Pick #Google #Machine_Learning #Python #Retrieval_Augmented
via Towards Data Science
#Article #Large_Language_Models #Editors_Pick #Google #Machine_Learning #Python #Retrieval_Augmented
via Towards Data Science
Telegraph
Introducing Google’s LangExtract tool
Do RAG without doing RAG with this powerful new NLP and data extraction library The post Introducing Google’s LangExtract tool appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source
Estimating from No Data: Deriving a Continuous Score from Categories
#Article #Algebra #Data_Science #Health #Machine_Learning #Medicine #Python #Editors_Pick #Keras #Linear_Regression #Neural_Network
via Towards Data Science
#Article #Algebra #Data_Science #Health #Machine_Learning #Medicine #Python #Editors_Pick #Keras #Linear_Regression #Neural_Network
via Towards Data Science
Telegraph
Estimating from No Data: Deriving a Continuous Score from Ca…
A walk-through of and the maths behind using low-capacity networks to acquire fine-grained scoring when only categorical labelling is available for training. We use it to predict the severity of an infection on a scale based on information on just rough outcomes…
Model Predictive-Control Basics
#Article #Data_Science #Casadi #Control_Systems #Model_Predictive_Control #Optimal_Control #Python
via Towards Data Science
#Article #Data_Science #Casadi #Control_Systems #Model_Predictive_Control #Optimal_Control #Python
via Towards Data Science
Telegraph
Model Predictive-Control Basics
A hands-on tutorial with Python and CasADi The post Model Predictive-Control Basics appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source
Maximizing AI/ML Model Performance with PyTorch Compilation
#Article #MachineLearning #ArtificialIntelligence #DeepLearning #Python #Pytorch
via Towards Data Science
#Article #MachineLearning #ArtificialIntelligence #DeepLearning #Python #Pytorch
via Towards Data Science
Telegraph
Maximizing AI/ML Model Performance with PyTorch Compilation
Since its inception in PyTorch 2.0 in March 2023, the evolution of torch.compile has been one of the most exciting things to follow. Given that PyTorch’s popularity was due to its “Pythonic” nature, its ease of use, and its line-by-line (a.k.a., eager) execution…
Modular Arithmetic in Data Science
#Article #Data_Science #Deep_Dives #Machine_Learning #Mathematics #Modular #Python
via Towards Data Science
#Article #Data_Science #Deep_Dives #Machine_Learning #Mathematics #Modular #Python
via Towards Data Science
Telegraph
Modular Arithmetic in Data Science
Modular arithmetic is a mathematical system where numbers cycle back to the beginning after reaching a value called the modulus. The system is often referred to as “clock arithmetic” due to its similarity to how analog 12-hour clocks represent time. This…