/AI Weekly/Issue 81
OpenAI’s agent tool may be nearing release
Published Tuesday, January 21, 2025
OpenAI may be close to releasing an AI tool that can take control of your PC and perform actions on your behalf. Tibor Blaho, a software engineer with a reputation for accurately leaking upcoming AI products, claims to have uncovered evidence of OpenAI’s long-rumored Operator tool. Publications including Bloomberg have previously reported on Operator, which […]
With Elon Musk’s xAI raising an $5 billion and Amazon investing an $4 billion in OpenAI rival Anthropic — artificial intelligence enters the holiday season with a competitive roar.
Announcing AutoGen 0.4, fully reimagined library for building advanced agentic AI systems, developed to improve code quality and robustness. Its asynchronous, event-driven architecture is designed to support dynamic, scalable workflows.
Rapid development and deployment of powerful generative AI models comes with environmental consequences, including increased electricity demand and water consumption.
Join us as we sit down with Sy Choudhury, who manages and supports AI partnerships at Meta, for an insightful discussion on the current advancements and future potential of AI. This series explores how AI intersects with daily human life, featuring interviews with leading experts and innovators.
How to measure how much of your RAG’s output is correct.
My friend walks into the village hall, scene of my son’s third birthday party, a mixture of panic and incredulity creeping across his face. “I didn’t realise we were dressing up,” he says, taking in my outfit. I feel myself blush.
The Global AI Bootcamp is an annual event that occurs worldwide, where developers and AI enthusiasts can learn about AI through workshops, sessions, and discussions.
This article will guide you through the best practices of logging a dataset in MLflow using the California Housing Dataset as an example. MLflow’s ability to track datasets alongside models and parameters ensures that any new experiment can reliably compare results against previous runs using the exact same data, providing transparency and clarity.
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