/AI Weekly/Issue 63
With Google in its sights, OpenAI unveils SearchGPT
Published Tuesday, July 30, 2024
OpenAI may have designs to get into the search game — challenging not only upstarts like Perplexity, but Google and Bing, too. The company on Thursday unveiled SearchGPT, a search feature designed to give “timely answers” to questions, drawing from web sources. UI-wise, SearchGPT isn’t too far off from OpenAI’s chatbot platform ChatGPT. You type […]
Segment Anything is Meta AI's model for image segmentation: for any image or frame of video it can identify which shapes on the image represent different "objects" - things like vehicles, people, animals, tools and more.
This week’s paper is a strange one. If you’ve tried using an open-source LLM, you know that not all of them are aligned yet, so you may end up with unwanted responses. To align an open-source LLM to give you proper responses, you need a lot of data. Getting alignment data is hard, but not if you can use an existing aligned LLM to generate that data. The authors of this week’s paper tried it out, and it works!
Hyrum Anderson, CTO of Robust Intelligence, speaks to Sarah about the history of AI security, what we should be concerned about in the present day and upcoming industry standards and regulations for AI security.
Meta's machine learning model, Segment Anything, has a sequel: It now takes the model to the video domain, showing how fast the field is moving.
In this discussion, I aim to explore the evolving trends in data orchestration and data modelling, highlighting the advancements in tools and their core benefits for data engineers.
Moving data around can be slow. Here’s how you can squeeze every bit of performance optimization out of Python. Continue reading on Towards Data Science »
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