CybAI news - - Page 3200

23 May

Neo4j CTO says new Graph Query Language standard will have ‘massive ripple effects’ – SiliconANGLE

stp2y0 CommentsGenAINeo4j CTO says new Graph Query Language standard will have 'massive ripple effects', Paul Gillin, SiliconANGLE

The International Standards Organization’s publication of a standard for the Graph Query Language earlier this month generated relatively little media interest, but executives at graph database makers were turning virtual cartwheels in the halls. The GQL standard is the first to be ratified by the ISO since Structured Query Language in 1986. The 600-page document defines the rules for “creating, accessing, querying, maintaining, and controlling property graphs and the data they comprise.” A property graph is a type of data structure used primarily in graph databases and graph processing frameworks. It consists of nodes and edges that represent relationships that…

23 May

Defense Tech Funding Slows At Start Of Year

stp2y0 CommentsRAG models

Defense tech became a popular topic last year — especially as the likes of Gecko Robotics, Shield AI and True Anomaly racked up big rounds — but this year has not continued that hot streak for the industry. Through the middle of May, funding is less than half of what it was at the same point last year, per Crunchbase data, despite the war in Ukraine continuing into its third year and tensions in the Middle East running high. In Q1, funding to startups in the industries of military, national security and law enforcement dropped to $118 million, a 74%…

23 May

Unveiling the Leaders in Data and AI: The 2024 Finalists for the Databricks Data Visionary Award

stp2y0 CommentsViral News

The Data Team Awards annually recognize the indispensable roles of enterprise data teams across industries, celebrating their resilience and innovation from around the world.With more than 200 nominations, the awards showcase the behind-the-scenes successes in data science and artificial intelligence. We look forward to highlighting these forward-thinking clients across six categories at the Data + AI Summit in June.The Data and AI Visionary Award is presented to an executive innovator who has spearheaded the integration of data, analytics, and AI into their company’s strategic initiatives. These visionaries exemplify unparalleled foresight and inventiveness, charting new paths for data's role in predictive…

23 May

The 1TB 14-inch MacBook Pro M3 is cheaper than ever right now

stp2y0 CommentsNewsapple, Commerce, engadgetdeals, gear, memorial day, news, shopping, streamshopping, thebuyersguide

You can pick up a specced-out version of last year’s MacBook Pro M3 for cheaper than ever right now, at $1,800. This is a discount of $200 for Apple’s flagship laptop with 1TB of SSD storage and 16GB of RAM. This deal is only available for the 14-inch Space Gray model. The silver model is also on sale, but with just an eight percent discount.Devindra Hardawar/EngadgetAs for the computer itself, it’s the MacBook Pro M3. It’s one of the best laptops you can buy, particularly for people who do intensive creative work on a computer, like video editing and music-making.…

23 May

Improving LoRA: Implementing Weight-Decomposed Low-Rank Adaptation (DoRA) from Scratch

stp2y0 CommentsAI

Low-rank adaptation (LoRA) is a machine learning technique that modifies a pretrained model (for example, an LLM or vision transformer) to better suit a specific, often smaller, dataset by adjusting only a small, low-rank subset of the model's parameters. This approach is important because it allows for efficient finetuning of large models on task-specific data, significantly reducing the computational cost and time required for finetuning.Last week, researchers proposed DoRA: Weight-Decomposed Low-Rank Adaptation, a new alternative to LoRA, which may outperform LoRA by a large margin.To understand how these methods work, we will implement both LoRA and DoRA in PyTorch from scratch…

23 May

AI safety is not a model property

stp2y0 CommentsChat-GPT

The assumption that AI safety is a property of AI models is pervasive in the AI community. It is seen as so obvious that it is hardly ever explicitly stated. Because of this assumption:Companies have made big investments in red teaming their models before releasing them.Researchers are frantically trying to fix the brittleness of model alignment techniques.Some AI safety advocates seek to restrict open models given concerns that they might pose unique risks.Policymakers are trying to find the training compute threshold above which safety risks become serious enough to justify intervention (and lacking any meaningful basis for picking one, they…

23 May

Sampling for Text Generation

stp2y0 CommentsRAG models

ML models are probabilistic. Imagine that you want to know what’s the best cuisine in the world. If you ask someone this question twice, a minute apart, their answers both times should be the same. If you ask a model the same question twice, its answer can change. If the model thinks that Vietnamese cuisine has a 70% chance of being the best cuisine and Italian cuisine has a 30% chance, it’ll answer “Vietnamese” 70% of the time, and “Italian” 30%. This probabilistic nature makes AI great for creative tasks. What is creativity but the ability to explore beyond the…

23 May

Release notes for Deephaven version 0.34 | Deephaven

stp2y0 CommentsNews

The wait is over, and Deephaven Community Core version 0.34.0 is out. This is a big release with significant enhancements and new features. Are you ready to explore the latest updates? Let's dive in and discover what's new!Command line interface for pip-installed DeephavenDo you run Deephaven from Python without Docker? If so, chances are it's because:You don't like Docker.You want to keep everything in Python.You like the Jupyter experience.Well, we have good news. It just got even easier to start Deephaven from Python with the introduction of a new command line interface.If you pip install Deephaven 0.34.0 or later via…

23 May

Forward-looking assessment of AI integration at MongoDB.local NYC – SiliconANGLE

stp2y0 CommentsChat-GPTAnalyst insights: The 'crucible moment' of AI integration in database evolution, Chad Wilson, SiliconANGLE

As artificial intelligence continues its ascent within enterprises, a deep dive into AI integration and database technology reveals groundbreaking developments. Innovative strategies are reshaping data management and setting the course for future business transformation. At today’s MongoDB.local NYC event, industry analysts offered an analysis of AI, highlighting the rapid evolution of AI integration and database technology. In dissecting the keynote by MongoDB Inc.’s Chief Executive Officer Dev Ittycheria, they emphasized the importance of forward-looking decision-making and strategies that adapt to the dynamic tech landscape. Ittycheria’s focus on broadening messaging beyond developers resonated with industry sentiments, echoing the importance of future-oriented…

23 May

Microsoft Copilot Cheat Sheet: Benefits, Price and Versions

stp2y0 CommentsGenAI

Microsoft Copilot, with its integration into Windows, Bing, 365, Azure, and Server, is purported to be the AI that unlocks the creative and productive potential of an organization’s people and data. What is Microsoft Copilot? Microsoft Copilot is an AI product that combines the power of large language models with in-house enterprise data generated by the Microsoft Graph and Microsoft 365 applications. Using the power of AI and natural language conversations, users can find better answers to their questions and potentially create content from those answers. Copilot was developed on the ChatGPT platform and announced as an in-development platform at…