stp2y - CybAI news

23 May

A snapshot of bias, the human mind, and AI

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Introducing bias & the human mind The human mind is a landscape filled with curiosity and, at times irrationality, motivation, confusion, and bias. The latter results in levels of complexity in how both the human and more recently, the artificial slant affects artificial intelligence systems from concept to scale. Bias is something that in many cases unintentionally appears - whether it be in human decision-making or the dataset - but its impact on output can be sizeable. With several cases over the years highlighting the social, political, technological, and environmental impact of bias, this piece will explore this important topic and…

23 May

A safe harbor for AI evaluation and red teaming

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This blog post is authored by Shayne Longpre, Sayash Kapoor, Kevin Klyman, Ashwin Ramaswami, Rishi Bommasani, Arvind Narayanan, Percy Liang, and Peter Henderson. The paper has 23 authors and is available here.Today, we are releasing an open letter encouraging AI companies to provide legal and technical protections for good-faith research on their AI models. The letter focuses on the importance of independent evaluations of proprietary generative AI models, particularly those with millions of users. In an accompanying paper, we discuss existing challenges to independent research and how a more equitable, transparent, and accountable researcher ecosystem could be developed.The letter has…

23 May

The State Of Saas: After A Positive Start To 2024, Founders Can Find Success In A Reset Market

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By Jimmy Fitzgerald SaaS businesses grew in 2023, but they did so at a much slower rate than the years of pandemic hypergrowth. At the same time, revenue growth was down and churn rates were at an all-time high, reflecting a period of “normalization” post-pandemic due to rising interest rates and enterprises cutting down on their software expenditures. Jimmy Fitzgerald After a year characterized by slowdowns and cutbacks, our analysis of real-time subscriptions data from more than 34,000 software companies in Q1 2024 shows that the SaaS market has started the year on a more positive note, with growth coming…

23 May

Announcing simplified XML data ingestion

stp2y0 CommentsViral News

We're excited to announce native support in Databricks for ingesting XML data.XML is a popular file format for representing complex data structures in different use cases for manufacturing, healthcare, law, travel, finance, and more. As these industries find new opportunities for analytics and AI, they increasingly need to leverage their troves of XML data. Databricks customers ingest this data into the Data Intelligence Platform, where other capabilities like Mosaic AI and Databricks SQL can then be used to drive business value.However, it can take a lot of work to build resilient XML pipelines. Since XML files are semi-structured and arbitrarily…

23 May

Gemini breaks new ground with a faster model, longer context, AI agents and more

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1.5 Flash excels at summarization, chat applications, image and video captioning, data extraction from long documents and tables, and more. This is because it’s been trained by 1.5 Pro through a process called “distillation,” where the most essential knowledge and skills from a larger model are transferred to a smaller, more efficient model.Read more about 1.5 Flash in our updated Gemini 1.5 technical report, on the Gemini technology page, and learn about 1.5 Flash’s availability and pricing.Significantly improving 1.5 ProOver the last few months, we’ve significantly improved 1.5 Pro, our best model for general performance across a wide range of…

23 May

Research Papers in January 2024

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2023 was the year when the potential and complexity of Large Language Models (LLMs) were growing rapidly. Looking at the open source and research advancements in 2024, it seems we are going to a welcome phase of making models better (and smaller) without increasing their size.In this month's article, I am highlighting four recent papers consistent with this theme:1. Weight averaging and model merging allow us to combine multiple LLMs into a single, better one without the typical drawbacks of traditional ensembles, such as increased resource requirements.2. Proxy-tuning to boost the performance of an existing large LLM, using two small…

23 May

Galileo debuts Protect hallucination firewall as AI model accuracy comes into sharper focus – SiliconANGLE

stp2y0 CommentsChat-GPTGalileo debuts Protect hallucination firewall as AI model accuracy comes into sharper focus, Maria Deutscher, SiliconANGLE

Startup Galileo Technologies Inc. today debuted a new software tool, Protect, that promises to block harmful artificial intelligence inputs and outputs. The company describes the product as a real-time hallucination firewall. It’s the latest in a series of newly launched software tools designed to help companies block their AI models from generating inaccurate responses. Some of those tools were created by AI startups such as Galileo, while others are offered by large players from other parts of the enterprise technology market. “The rapid adoption of AI has introduced a new set of safety and compliance risks that need to be…

23 May

Snowflake Arctic, a New AI LLM for Enterprise Tasks, is Coming to APAC

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Data cloud provider Snowflake has launched an open source large language model, Arctic LLM, as part of a growing portfolio of AI offerings helping enterprises leverage their data. Typical use cases include data analysis, including sentiment analysis of reviews, chatbots for customer service or sales, and business intelligence queries, like the extraction of revenue information. Snowflake’s Arctic is being offered alongside other LLM models from Meta, Mistral AI, Google and Reka in its Cortex product, which is only available in select regions. Snowflake said Cortex will be available in APAC in Japan in June via the AWS Asia Pacific (Tokyo)…

23 May

How to use Google Search entirely AI-free automatically – gHacks Tech News

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Google is integrating AI information into Google Search. Called AI Overviews, it is a feature that is rolling out to users from specific regions already. The feature adds an AI response to the very top of the search results. Below that, you find the regular web links. There are good reasons to skip AI output. From hallucinations, which means made-up information, to returning the wrong or even dangerous information. Add ads to that, which Google is now also rolling out in the United States, and you may not be super interested into these results at the time of writing. If…

23 May

Ideogram Tile brings AI-generated patterns to the masses

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Join us in returning to NYC on June 5th to collaborate with executive leaders in exploring comprehensive methods for auditing AI models regarding bias, performance, and ethical compliance across diverse organizations. Find out how you can attend here. Ideogram, the fast-growing artificial intelligence startup known for its advanced text-to-image generation capabilities, today announced a significant addition to its platform: Ideogram Tile. This new feature allows users to create seamless, repeating patterns from a single text prompt, opening up a world of possibilities for designers, artists, and businesses alike. With Ideogram Tile, users can generate intricate wallpapers, immersive landscapes, and endless…