/AI Weekly/Issue 65
OpenAI finds that GPT-4o does some truly bizarre stuff sometimes
Published Tuesday, August 13, 2024
OpenAI’s GPT-4o, the generative AI model that powers the recently launched alpha of Advanced Voice Mode in ChatGPT, is the company’s first trained on voice as well as text and image data. And that leads it to behave in strange ways, sometimes — like mimicking the voice of the person speaking to it or randomly […]
Microsoft researchers collaborated to release new pathology foundation models. Their report shows models benefit from diverse data, increased model size, and specialized algorithms to enhance the accuracy and applicability of cancer diagnosis and treatment.
We’ve discussed knowledge graphs before, focusing on constructing them using LLMs. This paper is the next step in building better knowledge graphs and covers combining multiple knowledge graphs into a single, more comprehensive graph. This are of research is quite interesting if you’re into building advanced RAG systems.
Alex Hern reports on recent problems artificial intelligence companies have faced and asks whether the billions invested are paying off “Even if the AI boom turns out to be an AI bubble, the LLMs aren’t going anywhere,” the Guardian’s UK technology editor, Alex Hern, tells Michael Safi. “Whether or not OpenAI goes bust, whether or not Google and Microsoft’s valuations plummet back to the ground, there is this technology that was created. They may go bust, but that doesn’t mean we’re back to the world we were in in 2020, for good and for ill.”
If the latest battle in the AI wars is between open and closed models, Meta CEO and Founder Mark Zuckerberg is right on the frontlines. Since rebranding as Meta in 2021, the trillion-dollar company, formerly known as Facebook, has been pouring billions into its long term bets on artificial intelligence and the metaverse.
New algorithm helps robots practice skills like sweeping and placing objects, potentially helping them improve at important tasks in houses, hospitals, and factories.
What foundational concepts should you study if you want to understand Large Language Models?
The Python Risk Identification Tool for generative AI (PyRIT) is an open access automation framework to empower security professionals and machine learning engineers to proactively find risks in th...
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