Artificial Intelligence | News, analysis, features, how-tos, and videos
Cloud-based AI toolkit offers dozens of Google and third-party models, straightforward support for RAG and model tuning, and other potentially compelling features in private preview.
Amazon Bedrock smooths the path to building generative AI apps with prompt engineering and RAG, providing a good assortment of text, chat, and image-based foundation models.
Azure AI Studio, while still in preview, checks most of the boxes for a generative AI application builder, with support for prompt engineering, RAG, agent building, and low-code or no-code development.
What's the best IDE for Python? Here's how IDLE, Komodo, PyCharm, PyDev, Microsoft's Python and Python Tools extensions for Visual Studio Code, and Spyder stack up.
Llama 2 Chat can generate and explain Python code quite well, right out of the box. Code Llama’s fine-tuned models offer even better capabilities for code generation.
Amazon CodeWhisperer, Google Bard, and GitHub Copilot X plod through our AI pair programming challenge. Each tool has its strengths, and none of them are perfect.
Add-on to Jupyter Notebooks enables a literate Python development style that gives you high-quality documentation, tests, continuous integration, and packaging for free.
Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines to run on a recurrent schedule.
Databricks Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP. Could it be an affordable alternative for your data warehouse needs?
Nvidia’s VMware-optimized AI software stack offers a strong alternative to doing machine learning in the AWS, Azure, and Google clouds. Nvidia LaunchPad lets you try it out for free.