By making a deal with a company like OpenAI, which has been the source of a string of tech controversies recently, it’s understandable that some people don’t understand why Apple made the call & what it might entail for the privacy of their on-device data
GPT-4 showcased a markedly superior performance when compared to unspecialised junior doctors, who possess a proficiency level comparable to general practitioners with specialist eye knowledge.
OpenAI is making a number of its previously subscription-only features available to free users of ChatGPT, with the biggest being the ability to browse its GPT Store and use custom bots…
The visual recognition skills of the large language model fell far short of clinical standards, achieving a positive predictive value (PPV) of less than 25% during its best attempt at trying to spot image findings from a set of 100 chest x-rays.
Med-Gemini was tested on 14 medical benchmarks and established a new state-of-the-art (SoTA) performance on 10, surpassing the GPT-4 model family on every benchmark where a comparison could be made.
This reportedly marks the first time Microsoft has deployed a major language model in a secure setting, designed to allow spy agencies to analyze top-secret information without connectivity risks—and to allow secure conversations with a chatbot similar to ChatGPT and Microsoft Copilot.
This marks the first time Microsoft has developed an in-house AI model of this magnitude since investing over $10 billion in OpenAI for the rights to reuse the startup’s AI models.
ChatGPT-4 generated acceptable messages to patients without any additional editing by radiation oncologists 58% of the time, and 7% of responses generated by GPT-4 were deemed unsafe by the radiation oncologists if left unedited.
OpenAI’s GPT-4 large language model (LLM) can autonomously exploit vulnerabilities in real-world systems if given a CVE advisory describing the flaw.
Errors in radiology reports may occur due to resident-to-attending discrepancies, speech recognition inaccuracies and high workload. Large language models, such as GPT-4, have the potential to enhance the report generation process.
Less than a month after overtaking GPT-4 Turbo in the Chatbot Arena, Anthropic’s Claude 3 Opus has been pushed into second place in the overall category, followed by GPT-4-1106-preview, an older version of GPT-4 Turbo, in third place.
GPT-4 is reportedly able to convince human debate opponents to agree with its position 81.7 percent more often than a human opponent, according to research from a group of Swiss and Italian academics.
“For the first time, the best available models—Opus for advanced tasks, Haiku for cost and efficiency—are from a vendor that isn’t OpenAI”
“Google was able to handle repeated prompts that sought to refine the solution. OpenAI’s ChatGPT, by contrast, got stuck, simply repeating bits of information in different ways without advancing the solution.”
When Anthropic says that Claude 3 can outperform GPT-4 Turbo, which is currently still widely seen as the market leader in terms of general capability and low hallucinations, one needs to take that with a grain of salt—or a dose of vibes.
Anthropic says Opus outperformed most models in several benchmarking tests. It showed better graduate-level reasoning than OpenAI’s GPT-4, getting 50.4 percent in that test over GPT-4’s 35.7 percent.
GPT-4 is a leader in natural language processing, while Gemini Ultra stands out for its ability to manage complex tasks efficiently. Which is better?
“Priceline recently added more features for Penny, an AI travel assistant that debuted last June. When it first was launched, Penny could only help with finding accommodations, but now it can help find flights, car rentals and vacation packages…”
Switching from GPT-3.5 to GPT-4 is straightforward. Creating the right ChatGPT prompts is a nuanced experience. The best results come from understanding how to write an effective GPT-4 prompt and understanding what the text generator can and can not do.
“We observe that models tend to develop arms-race dynamics, leading to greater conflict, and in rare cases, even to the deployment of nuclear weapons…”
OpenAI has made no commitment to make any “democratic inputs” binding upon its own decision-making processes. In fairness, at this stage, it would be strange if it had. “We’re focusing on the quite narrow context of, how could we even do it credibly?”
Google’s Bard (Gemini Pro) has clinched the second position on the HuggingFace Chat Bot Arena Leaderboard, surpassing OpenAI’s GPT-4. (But not GPT-4 Turbo.)
OpenAI is releasing an updated GPT-4 Turbo preview model, gpt-4-0125-preview, which can better complete tasks such as code generation compared to the previous model. OpenAI said it can even “reduce cases of ‘laziness’.
We found that only GPT-4 nearly flawlessly processes inputs with unnatural errors, even under the extreme condition, a task that poses significant challenges for other LLMs and often even for humans…
ChatGPT-4.0 has passed a clinical neurology exam with 85% correct answers in a proof-of-concept study. The research authors believe that after some fine-tuning, LLMs could have “significant applications” in clinical neurology.
“This time around, we decided to compare the new Gemini-powered Bard to both ChatGPT-3.5—for an apples-to-apples comparison of both companies’ current “free” AI assistant products—and ChatGPT-4 Turbo…”
Google claims that the largest version of Gemini exceeds “current state-of-the-art results on 30 of the 32 widely used academic benchmarks used in large language model (LLM) research and development.”
“It is surprisingly easy to remove the safety measures intended to prevent AI chatbots from giving harmful responses that could aid would-be terrorists or mass shooters. The discovery is prompting companies to develop strategies to solve the problem…”
Currently, Bing AI runs GPT-4, but GPT-4 Turbo will allow for various benefits including more accurate responses to queries and other important advancements.
If you’re wondering why this happened, you’re not alone. It seems to be related to ideology, and Sam Altman simply wasn’t ‘pure’ enough in his beliefs. Which has got to be the most baroque way to burn a hundred billion dollars.
A more systematic review of GPT-4 with vision’s capabilities found that the model remains flawed in several significant — and problematic, in some cases — ways.
The newest model is capable of accepting much longer inputs than previous versions — up to 300 pages of text, compared to the current limit of 50. This means that theoretically, prompts can be a lot longer and more complex.
In a demonstration at the just-concluded UK’s AI safety summit, the bot used made-up insider information to make an “illegal” purchase of stocks without telling the firm, reports the BBC.
In a screenshot of the GPTs interface provided by OpenAI, the upcoming GPT Store shows custom AI assistants called “Writing Coach,” “Sous Chef,” “Math Mentor,” and “Sticker Whiz” available for selection.
The researchers found that “the trustworthiness of GPT models remains limited.” They also discovered that the GPT models have a tendency to generalize when asked about ongoing events outside their scope of knowledge.
Microsoft’s data centers in West Des Moines, Iowa guzzled massive amounts of water last year, the Associated Press reported earlier this month, to keep cool while training OpenAI’s ChatGPT-4, the Microsoft-backed company’s most advanced publicly available large language model.
Participants with access to the large language model GPT-4 completed 12.2% more tasks on average and completed tasks 25.1% more quickly than those without access to AI, the study conducted in tandem with Boston Consulting Group found.
The company has licensed a private version of GPT-4 that runs on Microsoft Azure and incorporates Visa’s internal data. The payments company has opened the tool to 13,000 employees since February with guidelines on using it and the underlying data. It aims to roll it out to the rest of its workforce by year-end.
Intuit also sees Intuit Assist as a way to level the playing field for small and medium-sized businesses, which often lack the resources of larger companies. The AI assistant will reportedly help shorten the time it takes to file taxes and provide faster access to refunds, as well as offer personalized financial advice.
Microsoft’s AI-powered Copilots are changing the way we work, making customers more efficient while unlocking new levels of creativity. While these transformative tools open doors to new possibilities, they are also raising new questions. Some customers are concerned about the risk of IP infringement claims if they use the output produced by generative AI. This is understandable, given recent public inquiries by authors and artists regarding how their own work is being used in conjunction with AI models and services.
To address this customer concern, Microsoft is announcing our new Copilot Copyright Commitment. As customers ask whether they can use Microsoft’s Copilot services and the output they generate without worrying about copyright claims, we are providing a straightforward answer: yes, you can, and if you are challenged on copyright grounds, we will assume responsibility for the potential legal risks involved.
This new commitment extends our existing intellectual property indemnity support to commercial Copilot services and builds on our previous AI Customer Commitments. Specifically, if a third party sues a commercial customer for copyright infringement for using Microsoft’s Copilots or the output they generate, we will defend the customer and pay the amount of any adverse judgments or settlements that result from the lawsuit, as long as the customer used the guardrails and content filters we have built into our products.
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