Optimization - Data Leaders Brief

How to Optimize the Developer Experience for Monumental Impact

Speaker: Anne Steiner and David Laribee

As an innovative concept, Developer Experience (DX) has gained significant attention in the tech industry, and emphasizes engineers’ efficiency and satisfaction during the product development process.

Optimizing LLM Tasks with AdalFlow: Achieving Efficiency with Minimal Abstraction

Analytics Vidhya

AUGUST 28, 2024

AdalFlow provides a unified library with strong string processing, flexible tools, multiple output formats, and model monitoring like […] The post Optimizing LLM Tasks with AdalFlow: Achieving Efficiency with Minimal Abstraction appeared first on Analytics Vidhya.

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Optimizing AI Performance: A Guide to Efficient LLM Deployment

Analytics Vidhya

JULY 19, 2024

To unlock such potential, businesses must master […] The post Optimizing AI Performance: A Guide to Efficient LLM Deployment appeared first on Analytics Vidhya. Imagine a world where customer service chatbots not only understand but anticipate your needs, or where complex data analysis tools provide insights instantaneously.

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Optimization Essentials for Machine Learning

Analytics Vidhya

OCTOBER 17, 2022

Where is Optimization used in DS/ML/DL? The post Optimization Essentials for Machine Learning appeared first on Analytics Vidhya. What are Convex […].

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Optimize Python Code for High-Speed Execution

Analytics Vidhya

JANUARY 3, 2024

This article will explore techniques, strategies, and best practices to optimize Python code and make it run incredibly fast. […] The post Optimize Python Code for High-Speed Execution appeared first on Analytics Vidhya. However, one common concern among Python developers is the performance of their code.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting.

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Optimize your optimizations using Optuna

Analytics Vidhya

SEPTEMBER 3, 2021

The post Optimize your optimizations using Optuna appeared first on Analytics Vidhya. It is widely and exclusively used by the Kaggle community for the past 2 years and since the platform has such competitiveness, and for it to achieve such domination, […].

Optimization

Fine-tune Llama 3 using Direct Preference Optimization

Analytics Vidhya

MAY 2, 2024

To improve performance, algorithms like Reinforcement Learning with Human Feedback and Direct Preference Optimization (DPO) can be used. This article focuses on RLHF methods and […] The post Fine-tune Llama 3 using Direct Preference Optimization appeared first on Analytics Vidhya.

Optimization

Price Optimization in E-Commerce

Analytics Vidhya

AUGUST 23, 2023

Introduction Price optimization is a critical component of e-commerce that involves setting the right prices for products to achieve various business objectives, such as maximizing profits, increasing market share, and enhancing customer satisfaction.

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Optimizing LLMs with Mistral AI’s New Fine-Tuning APIs

Analytics Vidhya

JUNE 11, 2024

Additionally, fine-tuning enables the model to […] The post Optimizing LLMs with Mistral AI’s New Fine-Tuning APIs appeared first on Analytics Vidhya. Fine-tuning significantly improves performance compared to prompting, typically surpassing larger models due to its speed and cost-effectiveness.

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Common Use Cases for Mathematical Optimization

Mathematical optimization is a subset of artificial intelligence and a type of prescriptive analytics. What are some of the most common use cases for mathematical optimization across industries? This guide is ideal if you: Are curious about the different application areas for mathematical optimization.

Hyperparameter Optimization Using OptFormer

Analytics Vidhya

SEPTEMBER 5, 2022

The post Hyperparameter Optimization Using OptFormer appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. Source: Canva Introduction Researchers of Google Ai recently introduced […].

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How to Optimize Revenues Using Dynamic Pricing?

Analytics Vidhya

OCTOBER 25, 2023

The answers to these questions […] The post How to Optimize Revenues Using Dynamic Pricing? In IRCTC, Rajdhani prices increase are booking rate increases, and in Amazon, prices for the exact product change multiple times. Who decides when to change these prices or to what extent? Who decides the right price at the right time?

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Optimize Your Organisation’s Email Marketing with GenAI Agents

Analytics Vidhya

SEPTEMBER 5, 2024

The next obvious step is to send them an email based on the source and user behavior of these users, with the goal of converting them to paid […] The post Optimize Your Organisation’s Email Marketing with GenAI Agents appeared first on Analytics Vidhya.

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Microsoft Introduces Automatic Prompt Optimization Framework for LLMs

Analytics Vidhya

MAY 15, 2023

Microsoft AI Research has recently introduced a new framework called Automatic Prompt Optimization (APO) to significantly improve the performance of large language models (LLMs). This framework is designed to help users create better prompts with minimal manual intervention & optimize prompt engineering for better results.

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Just In: Inventory Optimization Research

How are organizations performing on inventory optimization? For instance, inventory optimization is now a strategic priority for 35% of organizations. The technologies in use and the benefits of optimization. How can new technologies help your team improve? Find out in this new research report. Inventory: asset or liability?

AWS Storage: Cost Optimization Principles

Analytics Vidhya

OCTOBER 29, 2022

The post AWS Storage: Cost Optimization Principles appeared first on Analytics Vidhya. Organizations are collecting data at an alarming pace to analyze and derive insights for business enhancements. The abundant requirement for data collection made cloud data storage an unavoidable option concerning the […].

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ML Hyperparameter Optimization App using Streamlit

Analytics Vidhya

DECEMBER 24, 2021

The post ML Hyperparameter Optimization App using Streamlit appeared first on Analytics Vidhya. It was designed especially for Machine Learning and Data Scientist team. Using Streamlit, we can quickly create interactive web apps and deploy them. Frontend […].

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RLHF For High-Performance Decision-Making: Strategies and Optimization

Analytics Vidhya

SEPTEMBER 11, 2023

It will be engineered to optimize decision-making and enhance performance in real-world complex systems. Introduction Reinforcement Learning from Human Factors/feedback (RLHF) is an emerging field that combines the principles of RL plus human feedback.

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What is Adam Optimizer and How to Tune its Parameters in PyTorch

Analytics Vidhya

DECEMBER 23, 2023

Introduction In deep learning, the Adam optimizer has become a go-to algorithm for many practitioners. In this blog, we’ll dive into the intricacies […] The post What is Adam Optimizer and How to Tune its Parameters in PyTorch appeared first on Analytics Vidhya.

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How Does Your Inventory Optimization Process Compare to Peers?

Take it now to see how your inventory optimization process scores and benchmark it against peers. Are You Betting on the Right Tools to Succeed in 2021? The 15-question assessment takes only 5 minutes to complete. Responses are aggregated and kept anonymous. We hope it serves as a thought-provoking exercise to improve your approach! -->

Implementing Particle Swarm Optimization using Python

Analytics Vidhya

NOVEMBER 2, 2021

Introduction There are multiple ways that one can take to either minimize or maximize any function so that the optimal value can be found out. The post Implementing Particle Swarm Optimization using Python appeared first on Analytics Vidhya.

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Optimal Resource Allocation using Python

Analytics Vidhya

FEBRUARY 10, 2022

Objective “True optimization is the revolutionary contribution of modern research to decision processes” – George Dantzig. We will find an optimal value for a linear equation with different linear constraints. The post Optimal Resource Allocation using Python appeared first on Analytics Vidhya. We […].

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Mastering AI Optimization and Deployment with Intel’s OpenVINO Toolkit

Analytics Vidhya

OCTOBER 30, 2023

The most challenging part of integrating AI into an application is […] The post Mastering AI Optimization and Deployment with Intel’s OpenVINO Toolkit appeared first on Analytics Vidhya. Enterprises and businesses believe in integrating reliable and responsible AI in their application to generate more revenue.

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An Introduction to Particle Swarm Optimization (PSO) Algorithm

Analytics Vidhya

OCTOBER 30, 2021

Overview: PSO is a stochastic optimization technique based on the movement and intelligence of swarms. The post An Introduction to Particle Swarm Optimization (PSO) Algorithm appeared first on Analytics Vidhya. The post An Introduction to Particle Swarm Optimization (PSO) Algorithm appeared first on Analytics Vidhya.

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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. Not being able to envision various organizational scenarios means you won't be able to navigate them, leaving you dead in the water.

Introduction to Linear Model for Optimization

Analytics Vidhya

DECEMBER 23, 2021

This article was published as a part of the Data Science Blogathon Optimization Optimization provides a way to minimize the loss function. Optimization aims to reduce training errors, and Deep Learning Optimization is concerned with finding a suitable model. In this article, we will […].

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Optimizing Neural Networks: Unveiling the Power of Quantization Techniques

Analytics Vidhya

JANUARY 29, 2024

But, here’s the problem: this encyclopedia is huge and requires significant time and effort […] The post Optimizing Neural Networks: Unveiling the Power of Quantization Techniques appeared first on Analytics Vidhya. Now, this friend has a precise way of doing things, like he has a dictionary in his head.

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Optimizing Pokemon Team using Python’s PuLP Library

Analytics Vidhya

NOVEMBER 12, 2021

This article was published as a part of the Data Science Blogathon Introduction Hey all, I am sure you must have played pokemon games at some point in time and must have hated the issue of creating an optimal and balanced team to gain an advantage. What if I say one can do this by having […].

Optimization

Optimizing Portfolios with the Mean Variance Method in Python

Analytics Vidhya

JUNE 6, 2023

When investing in multiple stocks, determining the optimal allocation of funds to each stock to minimize risk and maximize returns can be challenging. Introduction While investing in equity markets (stock markets), we often diversify our investments in different stocks to maximize our returns.

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Building Your BI Strategy: How to Choose a Solution That Scales and Delivers

Speaker: Evelyn Chou

Key takeaways: Defining the must-have capabilities of a modern BI platform 📝 How to effectively vet BI solutions based on your organization’s needs and capabilities to find the right fit 🕵 Achieving optimal satisfaction and maximizing ROI by balancing customization, performance, and user experience 📈 The key to ensuring smooth (..)

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Optimize Resource Usage with the Mixture of Experts and Grok-1

Analytics Vidhya

MARCH 28, 2024

However, these advantages come at the cost of high computational requirements […] The post Optimize Resource Usage with the Mixture of Experts and Grok-1 appeared first on Analytics Vidhya.

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State Space Search Optimization Using Local Search Algorithms

Analytics Vidhya

NOVEMBER 14, 2022

The post State Space Search Optimization Using Local Search Algorithms appeared first on Analytics Vidhya. These search strategies compute the path to the goal state from the initial state. A* Search Strategy is one of the best strategies […].

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A Detailed Guide on SQL Query Optimization

Analytics Vidhya

OCTOBER 5, 2021

This article was published as a part of the Data Science Blogathon Overview of SQL Query Optimization SQL Query optimization is defined as the iterative process of enhancing the performance of a query in terms of execution time, the number of disk accesses, and many more cost measuring criteria.

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Bayesian Optimization: bayes_opt or hyperopt

Analytics Vidhya

MAY 14, 2021

The post Bayesian Optimization: bayes_opt or hyperopt appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction If you have experience in Machine Learning, specifically supervised.

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Customer Experience Management: Optimizing Your Strategy for Financial Success

Speaker: Diane Magers, Founder and Chief Experience Officer at Experience Catalysts

In the world of business, connecting the dots from experience to financial impact is an essential skill. Transforming customer engagement, Voice of Customer (VoC) insights, and Journey Maps into tangible financial outcomes poses a significant challenge for most organizations.

Strategy

An Introduction to Nature-inspired Optimization Algorithms (NIOAs)

Analytics Vidhya

NOVEMBER 1, 2022

Introduction Recently, many researchers have developed an interest in Nature-inspired Optimization Algorithms (NIOAs). The post An Introduction to Nature-inspired Optimization Algorithms (NIOAs) appeared first on Analytics Vidhya. This is because many of life’s challenges have been solved using simulations from life itself.

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