Curated articles, resources, tips and trends from the DevOps World.
Retrieval-augmented generation (RAG) helps large language models (LLMs) generate more accurate and relevant responses by providing context through external data sources.
The idea I had was to share my Neo4j knowledge graph project on a Docker container for possible work and revisions by folks who could help with the project. This, again, is not a commercial project but a sandbox project involving oceanographic data analysis.
Developer tool provider JetBrains and the Python Software Foundation have surveyed 25,000 Python developers, and after six months of crunching and collating data — over 34 MBs worth — the final results have been released.
Tigera sponsored this post. Insight Partners is an investor in Tigera and TNS. As Kubernetes and containerized environments become the backbone of modern application development, securing these environments grows increasingly complex.
SambaNova Systems, a seven-year-old company that is working to establish a foothold in the rapidly expanding AI chip market, is rolling out a cloud service that executives say accelerates the inferencing work for developers creating AI applications.
To quote Aerosmith: We’re living on the edge. Enterprises and organizations around the world are now comfortable with the concept of edge computing, whether that means tracking events on a factory floor or embedded in the retail stores where we shop, Earth is now covered in edge computing.
Browser fingerprints are unique signatures generated for a particular user's browser that let you identify browsers across user sessions.
Zero-ETL integrations help unify your data across applications and data sources for holistic insights and breaking data silos.
Java is one of the most popular programming languages, known for its portability, scalability, and rich ecosystem. One of the critical components of the Java Runtime Environment (JRE) is the heap space, which plays a crucial role in memory management.
Kong co-founder and CEO Augusto Marietti foresees a day when, just as there are app stores, there will be API stores, where both developers and machines can find and use APIs. Navigating this increased use of AI and AI-related APIs, he added, will take smarter, AI-infused API management.
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