Generative AI | News, how-tos, features, reviews, and videos
The average user doesn’t want (or isn’t able) to decide which model to use or how to finesse a useful prompt. We need software applications that can handle this.
Vector databases don’t just store your data. They find the most meaningful connections within it, driving insights and decisions at scale.
Integration with PyTorch and ExecuTorch brings Arm computing performance to the machine learning stack for developers.
Java proponents see the language gaining traction in AI and machine learning as AI becomes incorporated into business logic.
Combining knowledge graphs with retrieval-augmented generation can improve the accuracy of your generative AI application, and generally can be done using your existing database.
According to OpenAI, o1 performs similarly to PhD students on challenging benchmark tasks in physics, chemistry, and biology, and even excels in math and coding.
Build RAG-powered LLM applications using the tools you know with a managed vector index in Azure.
How to build a local retrieval-augmented generation application using Postgres, the pgvector extension, Ollama, and the Llama 3 large language model.
Available through the Oracle Beta Program, the Oracle Code Assist beta is optimized for Java and application development on Oracle Cloud Infrastructure.
Other updates include enhancements to HeatWave Lakehouse, HeatWave on AWS, HeatWave AutoML, and MySQL HeatWave.