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23 May

Don’t Mock Machine Learning Models In Unit Tests

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I’ve been applying typical unit testing practices to machine learning code and it hasn’t been straightforward. In software, units are small, isolated pieces of logic that we can test independently and quickly. In machine learning, models are blobs of logic learned from data, and machine learning code is the logic to learn and use these derived blobs of logic. This difference makes it necessary to rethink how we unit test machine learning code. How ML code differs from regular software In software, we write code that contains logic; in ML, we write code that learns logic and then uses that…

23 May

Key role of AI accelerators in economic growth & social development

stp2y0 CommentsAI

In today's rapidly evolving digital landscape, artificial intelligence (AI) stands as a transformative force with the potential to revolutionize industries, spur innovation, and drive economic growth. However, unlocking the full potential of AI requires overcoming significant computational challenges. This is where AI accelerators come into play. AI accelerators, specialized hardware designed to optimize AI workloads, play a crucial role in accelerating AI adoption, powering economic growth, and fostering social development.Acceleration of AI adoptionAI accelerators serve as catalysts for the widespread adoption of AI technologies across various sectors. By enhancing the speed and efficiency of AI computations, these specialized hardware solutions…

23 May

Phone cameras can take in more light than the human eye − that’s why low-light events like the northern lights often look better through your phone camera

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Smartphone cameras have significantly improved in recent years. Computational photography and AI allow these devices to capture stunning images that can surpass what we see with the naked eye. Photos of the northern lights, or aurora borealis, provide one particularly striking example. If you saw the northern lights during the geomagnetic storms in May 2024, you might have noticed that your smartphone made the photos look even more vivid than reality. Auroras, known as the northern lights (aurora borealis) or southern lights (aurora australis) occur when the solar wind disturbs Earth’s magnetic field. They appear as streaks of color across…

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

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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

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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

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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

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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

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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…