stp2y

32028 Posts
Data Machina #248
24 May

Data Machina #248

stp2y0 CommentsViral News
Jailbreaking AI Models: It’s easy. Hundreds of millions of dollars have been thrown at AI Safety & Alignment over the years. Despite that, jailbreaking LLMs in April 2024 is easy. Oddly enough, as the LLM models become more capable and sophisticated, the jailbreaking attacks are becoming easier to perform, more effective, and frequent. Gary Marcus - who is hypercritical about LLMs and current AI trends- just published this very opinionated post: An unending array of jailbreaking attacks could be the death of LLMs.I often speak to colleagues and clients about the “LLM jailbreaking elephant in the room.” And they all…
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Documentation enhancements for Deephaven Community | Deephaven
24 May

Documentation enhancements for Deephaven Community | Deephaven

stp2y0 CommentsNews
Deephaven's API continues to grow with each release, as does the base of documentation supporting it. In addition to documenting brand-new features, we continue to revise and expand existing documentation. Read on to learn about some of the most significant recent changes to the Deephaven documentation.Documentation of brand-new features includes:We've added a new section for Community Questions. Here, you'll find answers from the Deephaven team to frequently asked user questions. If you have a question, feel free to ask us on Slack.New additions to the Deephaven user guide include:New reference documents include:Deephaven's documentation team has been working hard on a…
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Accelerate NLP inference with ONNX Runtime on AWS Graviton processors | Amazon Web Services
24 May

Accelerate NLP inference with ONNX Runtime on AWS Graviton processors | Amazon Web Services

stp2y0 CommentsAI
ONNX is an open source machine learning (ML) framework that provides interoperability across a wide range of frameworks, operating systems, and hardware platforms. ONNX Runtime is the runtime engine used for model inference and training with ONNX. AWS Graviton3 processors are optimized for ML workloads, including support for bfloat16, Scalable Vector Extension (SVE), and Matrix Multiplication (MMLA) instructions. Bfloat16 accelerated SGEMM kernels and int8 MMLA accelerated Quantized GEMM (QGEMM) kernels in ONNX have improved inference performance by up to 65% for fp32 inference and up to 30% for int8 quantized inference for several natural language processing (NLP) models on AWS…
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Here’s how machine learning can violate your privacy
24 May

Here’s how machine learning can violate your privacy

stp2y0 CommentsChat-GPT
Machine learning has pushed the boundaries in several fields, including personalized medicine, self-driving cars and customized advertisements. Research has shown, however, that these systems memorize aspects of the data they were trained with in order to learn patterns, which raises concerns for privacy. In statistics and machine learning, the goal is to learn from past data to make new predictions or inferences about future data. In order to achieve this goal, the statistician or machine learning expert selects a model to capture the suspected patterns in the data. A model applies a simplifying structure to the data, which makes it…
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Fullstory’s new platform enables harnessing customer behavioral data as a standalone source – SiliconANGLE
24 May

Fullstory’s new platform enables harnessing customer behavioral data as a standalone source – SiliconANGLE

stp2y0 CommentsGenAI, ,
Data analytics startup Fullstory Inc. says it wants to enhance the capabilities of artificial intelligence applications by providing them with the behavioral data they need to understand customer’s sentiments properly. To do this, it has announced a new platform called Data Direct, which automates the collection, synchronization and cleaning of structured, AI-ready behavioral data that can be fed into any application. By doing this, it says it can provide companies with more insightful web and mobile sentiment signals, allowing them to adapt the way they engage with customers and, hopefully, enable more positive interactions. Data Direct is said to transform…
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Doctor-designed food prescriptions could help patients cut medical costs for hypertension and cancer
24 May

Doctor-designed food prescriptions could help patients cut medical costs for hypertension and cancer

stp2y0 CommentsRAG models
Doctors' custom food prescriptions featuring beans and greens are helping patients prevent illness.A doctor said healthy food plans can help address high healthcare costs and chronic illness rates.This article is part of "Trends in Healthcare," a series about the innovations and industry leaders shaping patient care. Thanks for signing up! Access your favorite topics in a personalized feed while you're on the go. download the app Picture this: At your next health checkup, your doctor hands you a prescription for potatoes instead of pills.For some patients, this scenario is becoming a reality.Providing personalized recommendations for healthy food — along with information…
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AI Chip Deficit: Alternatives to Nvidia GPUs – EE Times
24 May

AI Chip Deficit: Alternatives to Nvidia GPUs – EE Times

stp2y0 CommentsNews
//php echo do_shortcode('[responsivevoice_button voice="US English Male" buttontext="Listen to Post"]') ?> In January 2024, leading private equity firm Blackstone announced it was building a $25 billion AI data empire. A few months later, OpenAI and Microsoft followed suit with a proposition to build Stargate, a $100 billion AI supercomputer that will launch the company to the forefront of the AI revolution.   Of course, this is not a surprise. With the rapid acceleration the AI sector has witnessed over the past few years, industry giants all over the world are in a frantic haste to get front-row seats. Experts already predict the…
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Will AI transform law?
24 May

Will AI transform law?

stp2y0 CommentsChat-GPT
A year ago, the startup DoNotPay claimed to have built a “robot lawyer” capable of arguing cases before the Supreme Court. There is no evidence that such a technology exists, and attempts to use AI write arguments have ended badly. But DoNotPay’s marketing gimmick was successful in getting wide attention, which goes to show that in the era of large language models, the idea of AI replacing lawyers seems quite plausible to many people.As we’ve written before, we think such expectations are extremely premature, and we shouldn’t read much into ChatGPT’s performance in simulated scenarios such as the bar exam.…
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