Generative AI Models: LaMDA
LaMDA was developed by Google as a technology that will serve to power applications that use conversational formats.
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Category: ML & AI
Generative AI Models: ChatGPT
ChatGPT is a conversational bot that allows users to have human-like interactions with an Artificial Intelligence (AI) in natural language.
Generative AI Models: Overview
Generative AI has use cases in research, business, or even government. For this reason, it’s being adopted by organizations around the globe.
Tracking Machine Learning Experiments with MLflow
MLflow is an open-source platform designed to manage Machine Learning experiments.
Deploying and Managing ML Workflows with Kubeflow
Kubeflow is a workflow platform developed by Google to help developers deploy and manage Machine Learning workflows on Kubernetes.
Matplotlib Enables Static and Dynamic Data Visualization
Matplotlib is a widely adopted library among data scientists, engineers, analysts, and researchers in various fields such as finance, economics, physics, biology, and many others
Performing Math Operations in Python: NumPy
NumPy and MATLAB are both powerful tools for numerical computing and data manipulation. Both libraries provide a wide range of functionality for working with data arrays.
Open-Source Workflows Systems: Argo
Argo Workflows is an open-source container-native workflow engine for automating complex multi-step processes on Kubernetes, running tasks in a workflow as a separate Kubernetes pod.
Top Python IDEs to Use in 2023
Python is a sophisticated programming language that is widely used for web development, artificial intelligence, data analysis, system administration, educational purposes, network programming, and more.
LinkedIn Open Sources Feathr for ML Feature Management
Feathr promises to be “the feature store we built to simplify machine learning (ML) feature management and improve developer productivity.”
What are the Steps in MLOps
MLOps is the end-to-end process of building and deploying models. It’s simple and only contains two parts: build and deploy.
Overview of MLOps
“MLOps is a set of best practices, processes, tools, and philosophy for managing the end to end process of building and deploying models.”