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While language models in generative AI focus on textual data, vision language models (VLMs) bridge the gap between textual and visual data. Before we explore Moondream 2, let’s understand VLMs better. Understanding vision language models VLMs combine computer vision (CV) and natural language processing (NLP), enabling them to understand and connect visual information with textual data.
At Databricks, we’re committed to building the most efficient and performant training tools for large-scale AI models. With the recent release of DBRX.
Oracle Financial Services has unveiled an innovative solution aimed at supporting banks’ efforts to combat money laundering. With the increasing complexity of compliance and the staggering $5.05 trillion expected to be laundered this year, the financial sector faces unprecedented challenges. In response, Oracle Financial Services has introduced the Oracle Financial Services Compliance Agent, an AI-powered […] The post Oracle Develops AI-Powered Solution to Fight Money Laundering appe
Recent developments in building large language models (LLMs) to boost generative AI in local languages have caught everyone’s attention. This post focuses on the needs and challenges of homegrown LLMs amid the fast-evolving technology landscape.
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
Introduction In a world where creating content is both an art and a need, writers regularly encounter the frightening image of a blank page and a flashing cursor. For those who wish to express themselves clearly and generate content, freelance, or operate enterprises, writer’s block can be a significant barrier. But amid this struggle, a […] The post Struggle to Write?
Introduction In this article, we will explore what is hypothesis testing, focusing on the formulation of null and alternative hypotheses, setting up hypothesis tests and we will deep dive into parametric and non-parametric tests, discussing their respective assumptions and implementation in python. But our main focus will be on non-parametric tests like the Mann-Whitney U […] The post Comprehensive Guide on Non Parametric Tests appeared first on Analytics Vidhya.
Introduction In this article, we will explore what is hypothesis testing, focusing on the formulation of null and alternative hypotheses, setting up hypothesis tests and we will deep dive into parametric and non-parametric tests, discussing their respective assumptions and implementation in python. But our main focus will be on non-parametric tests like the Mann-Whitney U […] The post Comprehensive Guide on Non Parametric Tests appeared first on Analytics Vidhya.
Introduction Generative AI has been a hot topic of the 21st century. OpenAI’s ChatGPT, Google Gemini, Microsoft Copilot, and other tools got everybody’s attention and sparked a wave of innovation in artificial intelligence and natural language processing. The continuous development and investment by the leaders in the GenAI era created jobs in areas such as […] The post 10+ New Jobs in The Generative AI Era appeared first on Analytics Vidhya.
Introduction If you are working on Artificial Intelligence or Machine learning models that require the best Text-to-Speech (TTS), then you are on the right path. Text-to-speech (TTS) technology, especially open source, has changed how we interact with digital content. This technology has come a long way; nowadays, we have access to some incredibly natural-sounding and […] The post 9 Best Open Source Text-to-Speech (TTS) Engines appeared first on Analytics Vidhya.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Introduction Decoding Neural Networks: Inspired by the intricate workings of the human brain, neural networks have emerged as a revolutionary force in the rapidly evolving domains of artificial intelligence and machine learning. However, before delving deeper into neural networks, it’s essential to grasp the distinction between machine learning and deep learning.
Last week, Diane Goettel was on vacation in Florida when she saw an alarming email on her phone. After 55 years, Small Press Distribution (SPD)—one of the last remaining independent book distributors in the US—was shutting down immediately, with no advance notice or transitional support.
In a world inundated with sensor data, understanding the intricate workings of the physical world has always been a challenge. However, a breakthrough has emerged in the form of Archetype AI’s Newton model. This new model revolutionizes how we interpret and interact with sensor data in real-time. Let’s explore its features and applications.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
A plan to utilize existing train tracks to offer a luxury overnight ride between two of California’s economic and cultural hubs is looking less and less like a fantasy.
Gretel, a pioneering force in synthetic data solutions, has taken a momentous step towards democratizing AI training data. Their recent unveiling of the world’s largest open-source Text-to-SQL dataset marks a significant leap in empowering businesses to harness the full potential of artificial intelligence. This move promises to revolutionize AI model training, offering unprecedented opportunities across […] The post Gretel Releases World’s Largest Open Source Text-to-SQL Datas
In software application development, we understand the need to shift left, but we’re often too reliant on existing procedures or brittle methodological practices.
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
Cryptocurrency has transformed from a specialized interest to a major force in global finance, contesting established monetary systems and introducing a novel approach to digital transactions. Reactions worldwide vary, with some countries welcoming the technology through positive regulations while others proceed cautiously or impose restrictions. Japan distinguishes itself with a forward-looking attitude toward cryptocurrency.
With Knowledge Bases for Amazon Bedrock , you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for Retrieval Augmented Generation (RAG). Access to additional data helps the model generate more relevant, context-specific, and accurate responses without retraining the FMs. In this post, we discuss two new features of Knowledge Bases for Amazon Bedrock specific to the RetrieveAndGenerate API: configuring the maximum number of results and creating custom prompts wi
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
In Yanis Varoufakis’ latest book, the former Greek finance minister argues that companies like Apple and Meta have treated their users like modern-day serfs.
Image Retrieval with IBM watsonx.data and Milvus (Vector) Database : A Deep Dive into Similarity Search What is Milvus? Milvus is an open-source vector database specifically designed for efficient similarity search across large datasets. Unlike traditional relational databases, Milvus excels at storing and searching high-dimensional vectors, which are mathematical representations that capture the essence of an image.
By becoming the official custodian of an entire nation’s history for the first time, the Internet Archive is expanding its already outsize role in preserving the digital world for posterity.
In the accounting world, staying ahead means embracing the tools that allow you to work smarter, not harder. Outdated processes and disconnected systems can hold your organization back, but the right technologies can help you streamline operations, boost productivity, and improve client delivery. Dive into the strategies and innovations transforming accounting practices.
Embedding models are available in Ollama, making it easy to generate vector embeddings for use in search and retrieval augmented generation (RAG) applications.
Last Updated on April 9, 2024 by Editorial Team Author(s): Ahmed Fessi Originally published on Towards AI. In November 2023, almost one year after ChatGPT 3 was released, OpenAI announced GPTs, allowing users to create and publish their own conversational chatbots, customized as per their instructions, and have them available in the OpenAI marketplace.
From xkcd, a Rube Goldberg machine that keeps on going. Edit a cell by adding xkcd-esque objects and watch the balls fall and bounce to neighboring cells.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
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