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Introducing Moondream2: A Tiny Vision-Language Model

Analytics Vidhya

Vision Language models are the models that can process and understand both visual and language(textual input) data simultaneously. These models combine techniques from Computer Vision and Natural Language Processing to understand and generate text based on the image content and language instruction.

Modeling 272
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9 Best Large Language Model (LLM) Books of All Time

Analytics Vidhya

Today, we’re diving into the captivating world of Large Language Models (LLMs) through the lens of literature. From intriguing […] The post 9 Best Large Language Model (LLM) Books of All Time appeared first on Analytics Vidhya.

Modeling 318
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Step-by-Step Guide to Training ML Model with No Code

Analytics Vidhya

Machine learning (ML) can seem complex, but what if you could train a model without writing any code? This guide unlocks the power of ML for everyone by demonstrating how to train a ML model with no code.

Modeling 278
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Anthropic Unveils Their Fastest AI Model, Claude 3 Haiku

Analytics Vidhya

Anthropic, a San Francisco-based startup, has recently launched Claude 3 Haiku, the latest addition to its Claude 3 family of AI models. Positioned as the fastest and most cost-effective model in its class, Haiku offers advanced vision capabilities and robust performance on industry benchmarks.

Modeling 388
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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

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.

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Data Modeling Demystified: Crafting Efficient Databases for Business Insights

Analytics Vidhya

Introduction This article will introduce the concept of data modeling, a crucial process that outlines how data is stored, organized, and accessed within a database or data system. We will explore how data […] The post Data Modeling Demystified: Crafting Efficient Databases for Business Insights appeared first on Analytics Vidhya.

Modeling 218
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The Fastest AI Model by Anthropic – Claude 3 Haiku

Analytics Vidhya

This new member of Anthropic’s family is not just another AI model; it’s a symbol of our relentless […] The post The Fastest AI Model by Anthropic – Claude 3 Haiku appeared first on Analytics Vidhya. Welcome to that world, brought to you by the latest sensation in AI—Claude 3 Haiku.

Modeling 397
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial.

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Getting Started With Scenario Modeling in Supply Chain Network Design

Let’s explore how you can apply scenario modeling in supply chain network design. To build your supply chain’s agility and responsiveness, you need to look at scenarios more frequently instead of relying on a single plan.

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Best Practices to Model Carbon Costs in Supply Chain Network Design

In this article, we share best practices about modeling carbon costs in network design. Do you want to know the environmental impact of your supply chain and make sustainable decisions?

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Easily Build an Optimization App and Empower Your Data

Speaker: Gertjan de Lange

If the last few years have illustrated one thing, it’s that modeling techniques, forecasting strategies, and data optimization are imperative for solving complex business problems and weathering uncertainty. Experience how efficient you can be when you fit your model with actionable data. Don't let uncertainty drive your business.

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New Research: The State of Supply Chain Network Design in 2022

This report explores how the state of supply chain network design has changed – including how the tools, maturity models, and market demands are transforming the network design practice. Advanced analytics & Scenario Modeling. This report is useful if you are interested in: Exploring new network design insights and capabilities.

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The Business Value of MLOps

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.

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Supply Chain Network Design: The Ultimate Use Cases eBook

Modeling your base case. Modeling carbon costs. Scenario analysis and optimization defined. Creating a strategic digital twin (digital representation) of your supply chain network. Optimizing your supply chain based on costs and service levels. Dealing with multiple capacity constraints. Network design for risk and resilience.

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The Essential Supply Chain Network Design Tooling Checklist

Answer 10 relevant questions and find out if your needs qualify for advanced network design & scenario modeling technology. Dedicated supply chain network design software is fuelled by intuitive scenario analysis capabilities on the front end and powerful mathematical optimization on the back end.