Analytics Vidhya
APRIL 5, 2024
Cohere, a leading provider of enterprise-grade AI solutions, has chosen Microsoft Azure as the launch platform for its new large language model (LLM), Command R+. Let’s explore the features and implications of this new model.
Analytics Vidhya
APRIL 18, 2024
Introduction Text embedding plays a crucial role in modern AI workloads, particularly in the context of enterprise search and retrieval systems. Snowflake, a […] The post How Snowflake’s Text Embedding Models Are Disrupting the Industry appeared first on Analytics Vidhya.
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Analytics Vidhya
APRIL 17, 2024
Snowflake, a prominent player in AI technology, has unveiled its latest offering – the Snowflake Arctic embed family of models. Also Read: Rerank 3: Boosting Enterprise […] The post Snowflake Launches the World’s Best Performing Text-Embedding Model for RAG appeared first on Analytics Vidhya.
O'Reilly on Data
NOVEMBER 28, 2023
And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. In enterprises, we’ve seen everything from wholesale adoption to policies that severely restrict or even forbid the use of generative AI.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.
Analytics Vidhya
NOVEMBER 1, 2023
Introduction Large Language Models (LLMs) and Generative AI represent a transformative breakthrough in Artificial Intelligence and Natural Language Processing. They can understand and generate human language and produce content like text, imagery, audio, and synthetic data, making them highly versatile in various applications.
Analytics Vidhya
JUNE 30, 2023
Introduction to Enterprise AI Time is of the essence, and automation is the answer. Amidst the struggles of tedious and mundane tasks, human-led errors, haywire competition, and — ultimately — fogged decisions, Enterprise AI is enabling businesses to join hands with machines and work more efficiently.
Advertiser: Data Robot
With the emergence of enterprise AI platforms that automate and accelerate the lifecycle of an AI project, businesses can build, deploy, and manage AI applications to transform their products, services, and operations. It may require changing your operation models and finding the right guidance to realize the full breadth of capabilities.
Advertiser: Data Robot
As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models. Download the report to find out: How enterprises in various industries are using MLOps capabilities.
Advertiser: Data Robot
With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Fostering collaboration between DevOps and machine learning operations (MLOps) teams.
Advertiser: Data Robot
Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.
Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale
Using data models to create a single source of truth. Deploying “data as code” throughout the enterprise. Combining data integration styles. Translating DevOps principles into your data engineering process. Making everyone a data analyst with a semantic layer. Using augmented analytics for predictive and prescriptive analyses.
Speaker: William Hord, Vice President of ERM Services
In this webinar, you will learn how to: Outline popular change management models and processes. When an organization uses this information aggregately and combines it into a well-defined change management process, your ability to proactively manage change increases your overall effectiveness. Organize ERM strategy, operations, and data.
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In this whitepaper you will learn about: Use cases for enterprise audio. Deepgram Enterprise speech-to-text features. How you can label, train and deploy speech AI models. Why Deepgram over legacy trigram models. Overview of Deepgram's Deep Neural Network. Download the whitepaper to learn how Deepgram works today!
Speaker: Nik Gowing, Brenda Laurel, Sheridan Tatsuno, Archie Kasnet, and Bruce Armstrong Taylor
This conversation considers how today's AI-enabled simulation media, such as AR/VR, can be effectively applied to accelerate learning, understanding, training, and solutions-modeling to sustainability planning and design. This is a panel discussion you won't want to miss!
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