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Today’s systems are exposing more of their underlying complexity to operators. These are the most exciting new developments along the journey of taming that complexity.
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.
Llama 2 is a family of generative text models designed for chat use cases and natural language generation tasks. Code Llama models are fine-tuned for programming tasks.
Built-in port forwarding system allows developers to share locally running services over the internet with other users.
Project Babylon would extend the reach of Java to foreign programming models such as machine learning models, GPUs, SQL, and differential programming.
Data quality is more important than ever, and many dataops teams struggle to keep up. Here are five ways to automate data operations with AI and ML.
Go beyond paying developers to maintain the software your business depends on. Pay the companies that pay the developers and watch the whole ecosystem thrive.
Generative AI can provide valuable analysis and insights to IT operators. But what about data security, reliability, workflow integration, and the conditions needed for successful deployment?
All-in-one toolkit for building, testing, debugging, and running JavaScript and TypeScript is available in a production-ready release.
LangChain is a modular framework for Python and JavaScript that simplifies the development of applications that are powered by generative AI language models.