The iPhone maker has begun prepping an AI chatbot to rival OpenAI’s ChatGPT, Microsoft Bing, and Google Bard.
It’s the news we’ve all been waiting for. Apple is finally throwing its hat in the proverbial generative AI ring and joining, well, everybody else to contest for OpenAI’s artificial intelligence crown.
The news comes through reports from Bloomberg that the company is quietly working on a tool that engineers dub “Apple GPT,” indirectly referring to ChatGPT, the most famous AI chatbot and, until recently, fastest-growing ‘app’ of all time. — Read More
Tag Archives: Big7
Qualcomm will work with Meta to add on-device Llama 2 support for smartphones and PCs
Earlier today we reported on Meta announcing and launching Llama 2, the next-generation version of its large language model for generative AI apps and services. Now, there’s word of a new partnership between Meta and Qualcomm that will allow Llama 2 to be used on mobile devices powered by Qualcomm Snapdragon chips.
In a press release, Qualcomm stated the goal was to allow those devices to run Llama 2-based apps and services on those devices, without the need for them to connect to a cloud-based service like other current generative AI products use such as ChatGPT and Bing Chat. — Read More
Meta’s latest AI model is free for all
The company hopes that making LLaMA 2 open source might give it the edge over rivals like OpenAI.
Meta is going all in on open-source AI. The company is today unveiling LLaMA 2, its first large language model that’s available for anyone to use—for free.
Since OpenAI released its hugely popular AI chatbot ChatGPT last November, tech companies have been racing to release models in hopes of overthrowing its supremacy. Meta has been in the slow lane. In February when competitors Microsoft and Google announced their AI chatbots, Meta rolled out the first, smaller version of LLaMA, restricted to researchers. But it hopes that releasing LLaMA 2, and making it free for anyone to build commercial products on top of, will help it catch up. — Read More
Meta claims its new art-generating model is best-in-class
… Today, Meta announced CM3Leon (“chameleon” in clumsy leetspeak), an AI model that the company claims achieves state-of-the-art performance for text-to-image generation. CM3Leon is also distinguished by being one of the first image generators capable of generating captions for images, laying the groundwork for more capable image-understanding models going forward, Meta says.
“With CM3Leon’s capabilities, image generation tools can produce more coherent imagery that better follows the input prompts,” Meta wrote in a blog post shared with TechCrunch earlier this week. “We believe CM3Leon’s strong performance across a variety of tasks is a step toward higher-fidelity image generation and understanding.” — Read More
Inside Google’s big AI shuffle — and how it plans to stay competitive, with Google DeepMind CEO Demis Hassabis
Today, I’m talking to Demis Hassabis, the CEO of Google DeepMind, the newly created division of Google responsible for AI efforts across the company. Google DeepMind is the result of an internal merger: Google acquired Demis’ DeepMind startup in 2014 and ran it as a separate company inside its parent company, Alphabet, while Google itself had an AI team called Google Brain.
Google has been showing off AI demos for years now, but with the explosion of ChatGPT and a renewed threat from Microsoft in search, Google and Alphabet CEO Sundar Pichai made the decision to bring DeepMind into Google itself earlier this year to create… Google DeepMind.
What’s interesting is that Google Brain and DeepMind were not necessarily compatible or even focused on the same things: DeepMind was famous for applying AI to things like games and protein-folding simulations. The AI that beat world champions at Go, the ancient board game? That was DeepMind’s AlphaGo. Meanwhile, Google Brain was more focused on what’s come to be the familiar generative AI toolset: large language models for chatbots, editing features in Google Photos, and so on. This was a culture clash and a big structure decision with the goal of being more competitive and faster to market with AI products. Read More
Med-PaLM
Med-PaLM is a large language model (LLM) designed to provide high quality answers to medical questions.
Med-PaLM harnesses the power of Google’s large language models, which we have aligned to the medical domain and evaluated using medical exams, medical research, and consumer queries. Our first version of Med-PaLM, preprinted in late 2022, was the first AI system to surpass the pass mark on US Medical License Exam (USMLE) style questions. Med-PaLM also generates accurate, helpful long-form answers to consumer health questions, as judged by panels of physicians and users.
We introduced our latest model, Med-PaLM 2, at our annual health event The Check Up in Q1, 2023. Med-PaLM 2 achieves an accuracy of 86.5% on USMLE-style questions, a 19% leap over our own state of the art results from Med-PaLM. — Read More
Alibaba launches A.I. tool to generate images from text
Chinese technology giant Alibaba on Friday launched an artificial intelligence tool that can generate images from prompts.
Tongyi Wanxiang allows users to input prompts in Chinese and English and the AI tool will generate an image in various styles such as a sketch or 3D cartoon.
Alibaba’s cloud division, which launched the product, said it is available for enterprise customers in China for beta testing. — Read More
Amazon’s vision: An AI model for everything
Matt Wood, vice president of product for Amazon Web Services, is at the tip of the spear of Amazon’s response in the escalating AI battle between the tech giants.
Much of the internet already runs on AWS’s cloud services and Amazon’s long game strategy is to create a single point of entry for companies and startups to tap into a rapidly increasing number of generative AI models, both of the open-source and closed-source variety.
Wood discussed this and other topics in an edited conversation. — Read More
Apple Is an AI Company Now
After more than a decade, autocorrect “fails” could be on their way out. Apple’s much-maligned spelling software is getting upgraded by artificial intelligence: Using sophisticated language models, the new autocorrect won’t just check words against a dictionary, but will be able to consider the context of the word in a sentence. In theory, it won’t suggest consolation when you mean consolidation, because it’ll know that those words aren’t interchangeable.
The next generation of autocorrect was one of several small updates to the iPhone experience that Apple announced earlier this month. The Photos app will be able to differentiate between your dog and other dogs, automatically recognizing your pup the same way it recognizes people who frequently appear in your pictures. And AirPods will get smarter about adjusting to background noise based on your listening over time.
All of these features are powered by AI—even if you might not know it from how Apple talks about them. Its conference unveiling the updates included zero mentions of AI, now a buzzword for tech companies of all stripes. Instead, Apple used more technical language such as machine learning or transformer language model. Apple has been quiet about the technology—so quiet that it has been accused of falling behind. Indeed, whereas ChatGPT can write halfway-decent business proposals, Siri can set your morning alarm and not much else. But Apple is pushing forward with AI in small ways, an incrementalist approach that nonetheless still might be the future of where this technology is headed. — Read More
Introducing Voicebox: The first generative AI model for speech to generalize across tasks with state-of-the-art performance
Meta AI researchers have achieved a breakthrough in generative AI for speech. We’ve developed Voicebox, the first model that can generalize to speech-generation tasks it was not specifically trained to accomplish with state-of-the-art performance.
Like generative systems for images and text, Voicebox creates outputs in a vast variety of styles, and it can create outputs from scratch as well as modify a sample it’s given. But instead of creating a picture or a passage of text, Voicebox produces high-quality audio clips. The model can synthesize speech across six languages, as well as perform noise removal, content editing, style conversion, and diverse sample generation. — Read More
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