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New API and SDK will enable enterprises to embed research automation into business workflows, enhancing decision-making with source-traceable, AI-generated insights.
Enterprises will want to evaluate how this game-changing move by the AI juggernaut can effectively enhance their AI and machine learning capabilities.
Large language models fail at hard and medium difficulty problems where they can’t stitch together well-known templates. You should still use them.
An introduction to the open-source LMOS platform and its Kotlin-based Arc framework for building, deploying, and managing cloud-native, multi-agent AI systems.
Combining low-code, generative AI, and AI-driven guidance, Mentor provides intelligent, context-aware support from application creation through monitoring and governance.
AI assistance is increasingly woven into JavaScript development tools and processes, which is both a boon and a peril depending on how you use it.
Python project from Andrew Ng provides a streamlined approach to working with multiple LLM providers, addressing a significant pain point in the AI development workflow.
Now in preview, Gemini CLI is an open-source AI agent that brings the capabilities of Google’s Gemini AI model into the developer’s terminal.
Now open source, xbench uses an ever changing evaluation mechanism to look at an AI model's ability to execute real-world tasks and make it harder for model makers to train on the tests.
In a head-to-head comparison, o3-pro was far less reliable and secure, and reasoned excessively compared to GPT-4o.