Viral News - CybAI news

25 May

Snowflake Looks to AI to Bolster Growth

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(Michael Vi/Shutterstock) Investors in Snowflake breathed a sigh of relief this week when the cloud data warehouser reported solid revenue growth for its first quarter and raised its guidance for the rest of the year. But questions still remain over its long-term growth, which the company is hoping that artificial intelligence will power. The company’s acquisition this week of assets of TruEra fits that mold. Snowflake on Wednesday reported $829 million in total GAAP revenues for the quarter ended April 30, 2024, representing a 33% increase over the same period last year. It reported 14 cents per share, which was…

25 May

Data Machina #247

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The New Breed of Open Mixture-of-Experts (MoE) Models. In a push to beat the closed-box AI models from the AI Titans, many startups and research orgs have embarked in releasing open MoE-based models. These new breed of MoE-based models introduce many clever architectural tricks, and seek to balance training cost efficiency, output quality, inference performance and much more. For an excellent introduction to MoEs, checkout this long post by the Hugging Face team: Mixture of Experts ExplainedWe’re starting to see several open MoE-based models achieving near-SOTA or SOTA performance as compared to e.g. OpenAI GPT-4 and Google Gemini 1.5 Pro.…

25 May

The Role of AI in Big Data Quality Management

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In the realm of big data quality management, the convergence of AI technologies has opened up avenues for unparalleled levels of data accuracy and reliability. By harnessing the power of artificial intelligence, organizations can now automate the process of detecting and correcting errors in massive datasets with unprecedented speed and efficiency. Through advanced machine learning algorithms, AI systems can continuously learn from data patterns, enhancing their ability to identify inconsistencies and anomalies that might have otherwise gone unnoticed by human analysts. AI-driven big data quality management solutions offer a proactive approach to maintaining data integrity by predicting potential issues before…

25 May

Shaping the Future With Data and AI: Announcing the 2024 Databricks GenAI Innovation Award Finalists

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The annual Data Team Awards showcase the remarkable efforts of top global enterprise data teams committed to tackling some of today's toughest business challenges.This year, we received more than 200 nominations across six categories, from companies representing a diverse array of industries and regions. In the lead-up to the Data + AI Summit, we'll showcase the finalists from each category, highlighting those pioneering the advances in data and AI.New this year, the GenAI Award represents the widespread enterprise adoption of large language models (LLMs). As LLMs transform industries by enhancing productivity, personalizing user experiences, and opening up new possibilities in…

25 May

Exploring Dark Knowledge under Various Teacher Capacities and Addressing Capacity Mismatch

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arXiv:2405.13078v1 Announce Type: new Abstract: Knowledge Distillation (KD) could transfer the ``dark knowledge" of a well-performed yet large neural network to a weaker but lightweight one. From the view of output logits and softened probabilities, this paper goes deeper into the dark knowledge provided by teachers with different capacities. Two fundamental observations are: (1) a larger teacher tends to produce probability vectors that are less distinct between non-ground-truth classes; (2) teachers with different capacities are basically consistent in their cognition of relative class affinity. Abundant experimental studies verify these observations and in-depth empirical explanations are provided. The difference in dark…

25 May

Towards Retrieval-Augmented Architectures for Image Captioning

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arXiv:2405.13127v1 Announce Type: new Abstract: The objective of image captioning models is to bridge the gap between the visual and linguistic modalities by generating natural language descriptions that accurately reflect the content of input images. In recent years, researchers have leveraged deep learning-based models and made advances in the extraction of visual features and the design of multimodal connections to tackle this task. This work presents a novel approach towards developing image captioning models that utilize an external kNN memory to improve the generation process. Specifically, we propose two model variants that incorporate a knowledge retriever component that is based…

24 May

RAGE Against the Machine: Retrieval-Augmented LLM Explanations

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arXiv:2405.13000v1 Announce Type: new Abstract: This paper demonstrates RAGE, an interactive tool for explaining Large Language Models (LLMs) augmented with retrieval capabilities; i.e., able to query external sources and pull relevant information into their input context. Our explanations are counterfactual in the sense that they identify parts of the input context that, when removed, change the answer to the question posed to the LLM. RAGE includes pruning methods to navigate the vast space of possible explanations, allowing users to view the provenance of the produced answers. Source link lol

24 May

FasterViT for Image Classification

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FasterViT is a family of Vision Transformer models that is both fast and provides better accuracy than other ViT models. It combines the local representation learning of CNNs and the global learning properties of ViTs. In this article, we will cover the FasterViT model for image classification. Figure 1. FasterViT architecture, throughput, and benchmark on ImageNet1K. We will go through image inference using the pretrained network along with a brief of its architectural components. Furthermore, we will also fine-tune a FasterViT model for image classification. We will cover the following topics in this article We will start with a discussion…

24 May

Enterprises Have Just Two Years to Harness the Full Potential of GenAI: Genpact and HFS Report

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(Berit Kessler/Shutterstock) The advent of GenAI has proven to be the first real innovation to disrupt industry since the advent of the internet. While GenAI is only over a year old, it has left enterprises scrambling to gain a competitive advantage. However, the window of opportunity for these enterprises may be shorter than anticipated. Enterprises have only two years to adopt GenAI before competitive disadvantages emerge, according to a new report by Genpact and HFS Research. The report also highlights that only 5% of enterprises have mature GenAI initiatives, signaling an urgent need for acceleration of GenAI adoption. Genpact is…

24 May

Data Machina #248

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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…