Sandboxing AI Agent Code Execution in Python: Containers, MicroVMs and Beyond
You need Python 3.
You need Python 3.
This paper was accepted at the Can We Trust AI Evaluation? Workshop at NeurIPS 2026. We evaluate how good large language model (LLM) judges are for personalized writing tasks. This is important when a user’s preferred writing style is known (e.g., “upbeat”) and an LLM judge is used to evaluate whether generated text adheres to …
Java teams have established JVM tooling, continuous integration and continuous delivery (CI/CD) pipelines, and operational patterns, yet taking AI agents from prototype to production is hard: agent frameworks do not solve scalability, governance, security, and operational concerns by default. Amazon Bedrock and Spring AI close those gaps, so Java teams can build autonomous AI agents …
Read more “Build autonomous AI agents with Amazon Bedrock and Spring AI”
Transactional databases store vast amounts of unstructured text — clinical notes, customer reviews, support tickets, invoices, and property descriptions. Historically, working with this text meant building complex application code: You had to export data from the database, call external model endpoints, write custom prompt wrappers, parse unpredictable responses, manage retry logic, and update database records. …
Read more “Introducing new AI functions for AlloyDB: ai.classify and ai.extract”
Don’t let cold weather stop you from getting your steps in. These under-desk treadmills are already marked down.
A new neural network component, developed at University of Michigan Engineering, challenges a common assumption in robot learning: that the same general-purpose neural networks used for image recognition are equally suited to controlling physical movement.
MiniMax H3-Image is now available with open weights! https://huggingface.co/MiniMaxAI/MiniMax-H3-Image https://modelscope.cn/models/minimax/MiniMax-H3-Image GitHub – MiniMax-AI/MiniMax-H3-Image That’s it. I’m a MiniMax fan for life. submitted by /u/Altruistic_Song_1423 [link] [comments]
Then you train the neural network to reverse this process, commonly using a mean squared error objective.
Kimi K3.1 Pro Highspeed from Moonshot AI is now available on Amazon Bedrock. Part of Moonshot AI’s new K3.1 series, it’s a post-trained version of Kimi K3 with the same 3T-class open-weight architecture and 1-million-token context window, trained with substantially more post-training compute. According to Moonshot AI, that extra training targets long-horizon agentic work and …
Every healthcare organization is working to deliver great care to more people at a lower cost. However, a general AI model is not enough to solve this challenge. Today, healthcare runs on fragmented data. Patient records, coverage policies, and clinical evidence remain trapped across disconnected records, claims systems, and administrative tools that don’t work together. …