Modeling and Optimization - Data Leaders Brief

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 […].

Optimization

Optimization Modeling Deep Learning Data Science

Hyperparameter Optimization in Machine Learning Models

Analytics Vidhya

JUNE 13, 2024

Introduction One of the toughest things about making powerful models in machine learning is fiddling with many levels. Hyperparameter optimization—adjusting those settings to end up with something that’s not horrible—might be the most important part of it all.

Machine Learning

Machine Learning Optimization Modeling Analytics

Finetuning Llama 3 with Odds Ratio Preference Optimization

Analytics Vidhya

MAY 2, 2024

Introduction Large Language Models are often trained rather than built, requiring multiple steps to perform well. One solution is the Odd Ratio […] The post Finetuning Llama 3 with Odds Ratio Preference Optimization appeared first on Analytics Vidhya.

Optimization

Optimization Modeling Analytics

Webinars

How to Achieve High-Accuracy Results When Using LLMs

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Fine-tune Llama 3 using Direct Preference Optimization

Analytics Vidhya

MAY 2, 2024

Introduction Large Language Models have revolutionized productivity by enabling tasks like Q&A, dynamic code generation, and agentic systems. However, pre-trained vanilla models are often biased and can produce harmful content.

Optimization

Optimization Modeling Analytics

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.

Cost-Benefit

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 […].

Optimization

Optimization Machine Learning Interactive Data Science

Fine-Tuning a Model Using OpenAI Platform for Customer Query Support

Analytics Vidhya

FEBRUARY 22, 2025

Fine-tuning large language models (LLMs) is essential for optimizing their performance in specific tasks. OpenAI provides a robust framework for fine-tuning GPT models, allowing organizations to tailor AI behavior based on domain-specific requirements.

Modeling

Modeling Optimization Analytics

A Comprehensive Guide on Deep Learning Optimizers

Analytics Vidhya

OCTOBER 7, 2021

A deep learning model consists of activation function, input, output, hidden layers, loss function, etc. Any deep learning model tries to […]. The post A Comprehensive Guide on Deep Learning Optimizers appeared first on Analytics Vidhya.

Deep Learning

Deep Learning Optimization Machine Learning Data Science

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

Analytics Vidhya

JUNE 11, 2024

Introduction Fine-tuning enables large language models to better align with specific tasks, teach new facts, and incorporate new information. Fine-tuning significantly improves performance compared to prompting, typically surpassing larger models due to its speed and cost-effectiveness.

Optimization

Optimization Modeling Analytics IT

Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use. Save your seat and register today! 📆 June 4th 2024 at 11:00am PDT, 2:00pm EDT, 7:00pm BST

Data Collection

Optimizing AI Performance: A Guide to Efficient LLM Deployment

Analytics Vidhya

JULY 19, 2024

Introduction In an era where artificial intelligence is reshaping industries, controlling the power of Large Language Models (LLMs) has become crucial for innovation and efficiency.

Optimization

Optimization Modeling Analytics Machine Learning

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.

Optimization

Optimization Strategy Data-driven Interactive

A Hands-On Discussion on Hyperparameter Optimization Techniques

Analytics Vidhya

SEPTEMBER 29, 2021

This article was published as a part of the Data Science Blogathon Dear readers, In this blog, we will build a random forest classifier(RFClassifier) model to detect breast cancer using this dataset from Kaggle. The post A Hands-On Discussion on Hyperparameter Optimization Techniques appeared first on Analytics Vidhya.

Optimization

Optimization Data Science Publishing Modeling

Gradient Descent: Design Your First Machine Learning Model

Analytics Vidhya

AUGUST 23, 2021

This article was published as a part of the Data Science Blogathon Building a simple Machine Learning model using Pytorch from scratch. Image by my great learning Introduction Gradient descent is an optimization algorithm that is used to train machine learning models and is now used in a neural network.

Machine Learning

Machine Learning Modeling Data Science Publishing

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.

Optimization

IBM Granite Code Models: A Family of Open Foundation Models for Code Intelligence

Analytics Vidhya

MAY 9, 2024

They actively improve the coding process by automating routine tasks, optimizing […] The post IBM Granite Code Models: A Family of Open Foundation Models for Code Intelligence appeared first on Analytics Vidhya. Most of today’s technologies support coding by harnessing the power of artificial intelligence (AI).

Modeling

Modeling Software Optimization Technology

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.

Optimization

Optimization Modeling Analytics

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.

Optimization

Optimization Modeling Analytics

Cutting Edge Tricks of Applying Large Language Models

Analytics Vidhya

SEPTEMBER 21, 2023

Introduction Large language models (LLMs) are prominent innovation pillars in the ever-evolving landscape of artificial intelligence. These models, like GPT-3, have showcased impressive natural language processing and content generation capabilities.

Modeling

Modeling Optimization Analytics

Supply Chain Network Design: The Ultimate Use Cases eBook

Explore the most common use cases for network design and optimization software. Scenario analysis and optimization defined. Modeling your base case. Optimizing your supply chain based on costs and service levels. Optimizing your supply chain based on costs and service levels. Modeling carbon costs.

Modeling

Tune ML Models in No Time with Optuna

Analytics Vidhya

NOVEMBER 30, 2021

This article was published as a part of the Data Science Blogathon A comprehensive guide for finding the best hyper-parameter for your model efficiently. Tuning hyperparameter is more efficient with Bayesian optimized algorithms compared to Brute-force algorithms. Introduction Optimizing ML models […].

Modeling

Modeling Optimization Data Science Publishing

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

Analytics Vidhya

MARCH 28, 2024

Introduction Large Language models (LLMs) can generate coherent and contextually relevant text since they are trained on extensive datasets and leveraging billions of parameters. This immense scale endows LLMs with emergent properties, such as nuanced understanding and generation capabilities across domains surpassing simpler models.

Optimization

Optimization Modeling Analytics Machine Learning

Apple Introduces OpenELM: Open-Source AI Models for On-Device Processing

Analytics Vidhya

APRIL 26, 2024

Apple has recently unveiled OpenELM, a family of open-source language models optimized for on-device processing. This model has been made open source, encouraging free usage and collaboration. Apple’s move towards transparency aims to empower developers and researchers while enhancing user privacy.

Modeling

Modeling Optimization Analytics

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.

Optimization

Optimization Software Enterprise Analytics

The Essential Supply Chain Network Design Tooling Checklist

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. Answer 10 relevant questions and find out if your needs qualify for advanced network design & scenario modeling technology.

Modeling

Amazon launches Bedrock: AI Model Evaluation with Human Benchmarking

Analytics Vidhya

NOVEMBER 30, 2023

In a development, Amazon Bedrock introduces the ability to assess, compare, and choose the optimal foundation models (FMs) tailored to your specific need. The Model Evaluation feature, now in preview, empowers developers with a range of evaluation tools, offering both automatic and human benchmarking options.

Modeling

Modeling Optimization Analytics

How AI orchestration has become more important than the models themselves

CIO Business Intelligence

DECEMBER 10, 2024

Large language models (LLMs) just keep getting better. In just about two years since OpenAI jolted the news cycle with the introduction of ChatGPT, weve already seen the launch and subsequent upgrades of dozens of competing models. From Llama3.1 to Gemini to Claude3.5 From Llama3.1 to Gemini to Claude3.5

Modeling

Modeling Insurance Unstructured Data Experimentation

Direct Preference Optimization (DPO): Andrew Ng’s Perspective on the Next Big Thing in AI

Analytics Vidhya

JANUARY 15, 2024

In the dynamic realm of language model development, a recent groundbreaking paper titled “Direct Preference Optimization (DPO)” by Rafael Rafailov, Archit Sharma, Eric Mitchell, Stefano Ermon, Chris Manning, and Chelsea Finn, has captured the attention of AI luminaries like Andrew Ng.

Optimization

Optimization Modeling Analytics IT

Can Language Models Replace Compilers?

O'Reilly on Data

JANUARY 9, 2024

They had bugs, particularly if they were optimizing your code (were optimizing compilers a forerunner of AI?). With the current models, every time you generate code, you’re likely to get something different. An updated model is likely to produce completely different source code. The process isn’t repeatable.

Modeling

Modeling Software Testing Optimization

The Modern Customer Success Playbook

Advertiser: ZoomInfo

This customer success playbook outlines best in class data-driven strategies to help your team successfully map and optimize the customer journey, including how to: Build a 360-degree view of your customer and drive more expansion opportunities. Create highly targeted segments to drive more contextual and personalized engagements.

Data-driven

A Complete Guide on Machine Learning Model Deployment Using Heroku

Analytics Vidhya

OCTOBER 7, 2021

This article was published as a part of the Data Science Blogathon Overview of Model Deployment Using Heroku Image 1 One of the most prevalent misunderstandings and mistakes for a failed ML project is spending a significant amount of time optimizing the ML model.

Machine Learning

Machine Learning Modeling Data Science Publishing

TrOCR and ZhEn Latex OCR: A Comparison of Image-to-Text and Latex Models

Analytics Vidhya

AUGUST 27, 2024

Introduction Diving into the world of AI models, language models and other software that can be applied in real tasks like virtual assistance and content creation are very popular. However, there is still a lot to explore with image-to-text models.

Modeling

Modeling Optimization Software Analytics

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.

Optimization

Optimization Analytics IoT Deep Learning

The product operating model that’s driving transformation at Modivcare

CIO Business Intelligence

MARCH 5, 2025

Modivcare, which provides services to better connect people with care, is on a transformative journey to optimize its services by implementing a new product operating model. Whats the context for the new product operating model? What was the model you were using before? What was the model you were using before?

Modeling

Modeling Interactive Strategy Technology

Guide to Mathematical Optimization & Modeling

For decades, operations research professionals have been applying mathematical optimization to address challenges in the field of supply chain planning, manufacturing, energy modeling, and logistics. This guide is ideal if you: Want to understand the concept of mathematical optimization.

Optimization

The Science of T20 Cricket: Decoding Player Performance with Predictive Modeling

Analytics Vidhya

JUNE 1, 2023

With franchise leagues like IPL and BBL, teams rely on statistical models and tools for competitive edge. This article explores how data analytics optimizes strategies by leveraging player performances and opposition weaknesses. Introduction Cricket embraces data analytics for strategic advantage.

Predictive Modeling

Predictive Modeling Modeling Statistics Optimization

How to Access Phi-4 Using Hugging Face?

Analytics Vidhya

JANUARY 13, 2025

Microsoft’s Phi-4 model is available on Hugging Face, offering developers a powerful tool for advanced text generation and reasoning tasks. In this article, well walk you through the steps to access and use Phi-4, from creating a Hugging Face account to generating outputs with the model.

Optimization

Optimization Modeling Analytics IT

Impact of Hyperparameters on a Deep Learning Model

Analytics Vidhya

MAY 15, 2022

In order to develop any deep learning model, one must decide on the most optimal values of […]. The post Impact of Hyperparameters on a Deep Learning Model appeared first on Analytics Vidhya.

Deep Learning

Deep Learning Modeling Data Science Publishing

How to Optimize ROI Using Customer Lifetime Value?

Analytics Vidhya

APRIL 26, 2022

The post How to Optimize ROI Using Customer Lifetime Value? More customers translate into higher revenues and better profitability in the long run. But in recent times, and due to heavy competition customer loyalty to a brand has […]. appeared first on Analytics Vidhya.

ROI

ROI Optimization Data Science Publishing

The Best Sales Forecasting Models for Weathering Your Goals

Advertiser: ZoomInfo

Every sales forecasting model has a different strength and predictability method. This way, you’ll be able to further enhance – and optimize – your newly-developed pipeline. It’s recommended to test out which one is best for your team. Your future sales forecast? Sunny skies (and success) are just ahead!

Forecasting

Parameter-Efficient Fine-Tuning of Large Language Models with LoRA and QLoRA

Analytics Vidhya

AUGUST 26, 2023

In this article, we will explore how PEFT methods optimize the adaptation of Large Language Models (LLMs) to specific tasks. We will unravel the advantages and disadvantages of PEFT, […] The post Parameter-Efficient Fine-Tuning of Large Language Models with LoRA and QLoRA appeared first on Analytics Vidhya.

Modeling

Modeling Optimization Analytics IT

Generative Logic

O'Reilly on Data

DECEMBER 10, 2024

Alibabas latest model, QwQ-32B-Preview , has gained some impressive reviews for its reasoning abilities. I also tried a few competing models: GPT-4 o1 and Gemma-2-27B. GPT-4 o1 was the first model to claim that it had been trained specifically for reasoning. How do you test a reasoning model? What else can we learn?

Testing

Testing Modeling Software IT

Optimizing Your LLM for Performance and Scalability

KDnuggets

AUGUST 9, 2024

Optimize LLM performance and scalability using techniques like prompt engineering, retrieval augmentation, fine-tuning, model pruning, quantization, distillation, load balancing, sharding, and caching.

Optimization

Optimization Modeling

Enhancing Customer Support Efficiency Through Automated Ticket Triage

Analytics Vidhya

NOVEMBER 24, 2023

Leveraging Large Language Models (LLMs) such as OpenAI’s GPT-3.5 for project optimization in customer support introduces a unique perspective. Introduction In the fast-paced world of customer support efficiency and responsiveness are paramount.

Optimization

Optimization Modeling Analytics Management

Enhance Innovation and Governance Through the Cloud Development Maturity Model

Leverage the Cloud Development Environment Maturity Model to elevate your software development practices with scalable, secure cloud-based workspaces. This model offers a structured approach to modernizing development, aligning technology, developer experience, security, and workflows.

Modeling

Introduction to Linear Model for Optimization

Hyperparameter Optimization in Machine Learning Models

Webinars

Trending Sources

Finetuning Llama 3 with Odds Ratio Preference Optimization

Webinars

Fine-tune Llama 3 using Direct Preference Optimization

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

ML Hyperparameter Optimization App using Streamlit

Fine-Tuning a Model Using OpenAI Platform for Customer Query Support

A Comprehensive Guide on Deep Learning Optimizers

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

Generative AI Deep Dive: Advancing from Proof of Concept to Production

Optimizing AI Performance: A Guide to Efficient LLM Deployment

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

A Hands-On Discussion on Hyperparameter Optimization Techniques

Gradient Descent: Design Your First Machine Learning Model

Easily Build an Optimization App and Empower Your Data

IBM Granite Code Models: A Family of Open Foundation Models for Code Intelligence

Optimizing LLM Tasks with AdalFlow: Achieving Efficiency with Minimal Abstraction

Microsoft Introduces Automatic Prompt Optimization Framework for LLMs

Cutting Edge Tricks of Applying Large Language Models

Supply Chain Network Design: The Ultimate Use Cases eBook

Tune ML Models in No Time with Optuna

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

Apple Introduces OpenELM: Open-Source AI Models for On-Device Processing

Mastering AI Optimization and Deployment with Intel’s OpenVINO Toolkit

The Essential Supply Chain Network Design Tooling Checklist

Amazon launches Bedrock: AI Model Evaluation with Human Benchmarking

How AI orchestration has become more important than the models themselves

Direct Preference Optimization (DPO): Andrew Ng’s Perspective on the Next Big Thing in AI

Can Language Models Replace Compilers?

The Modern Customer Success Playbook

A Complete Guide on Machine Learning Model Deployment Using Heroku

TrOCR and ZhEn Latex OCR: A Comparison of Image-to-Text and Latex Models

Optimizing Neural Networks: Unveiling the Power of Quantization Techniques

The product operating model that’s driving transformation at Modivcare

Guide to Mathematical Optimization & Modeling

The Science of T20 Cricket: Decoding Player Performance with Predictive Modeling

How to Access Phi-4 Using Hugging Face?

Impact of Hyperparameters on a Deep Learning Model

How to Optimize ROI Using Customer Lifetime Value?

The Best Sales Forecasting Models for Weathering Your Goals

Parameter-Efficient Fine-Tuning of Large Language Models with LoRA and QLoRA

Generative Logic

Optimizing Your LLM for Performance and Scalability

Enhancing Customer Support Efficiency Through Automated Ticket Triage

Enhance Innovation and Governance Through the Cloud Development Maturity Model

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