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Debugging And Testing LLMs in LangSmith

Analytics Vidhya

LangSmith is a new cutting-edge DevOps platform designed to develop, collaborate, test, deploy, and monitor LLM applications. This article will explore how to debug and test LLMs in […] The post Debugging And Testing LLMs in LangSmith appeared first on Analytics Vidhya.

Testing 291
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5 Statistical Tests Every Data Scientist Should Know

Analytics Vidhya

A fundamental understanding of statistical tests is necessary to derive insights from any data. These tests allow data scientists to validate hypotheses, compare groups, identify relationships, and make predictions with confidence.

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Test – Blogathon 

Analytics Vidhya

What […] The post Test – Blogathon appeared first on Analytics Vidhya. Despite their impressive capabilities in generating coherent and contextually relevant text, LLMs sometimes produce outputs that diverge from reality.

Testing 178
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Comprehensive Guide on Non Parametric Tests

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.

Testing 308
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Best Practices for Deploying & Scaling Embedded Analytics

You can get new capabilities out the door quickly, test them with customers, and constantly innovate. Embedding analytics in your application doesn’t have to be a one-step undertaking. In fact, rolling out features gradually is beneficial because it allows you to progressively improve your application.

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Comprehensive Guide on Non Parametric Tests

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.

Testing 297
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T-Test -Performing Hypothesis Testing With Python

Analytics Vidhya

The post T-Test -Performing Hypothesis Testing With Python appeared first on Analytics Vidhya. ArticleVideo Book Introduction Hi, Enthusiastic readers! I have a Masters’s degree in Statistics and a year ago, I stepped into the field of data.

Testing 329
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Best Practices for Creating Long-Lasting and Continuous Discovery Habits

Speaker: Teresa Torres, Internationally Acclaimed Author, Speaker, and Coach at ProductTalk.org

As a result, many of us are still stuck in a project-world rut: research, usability testing, engineering, and a/b testing, ad nauseam. Industry-wide, product teams have adopted discovery practices like customer interviews and experimentation merely for end-user satisfaction.

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New Planning Maturity Assessment

Test your Planning Fitness. In today's new supply chain paradigm, resilience and agility are key. Is your planning process fit enough to keep up with the pace of change? Is your tech stack helping or hindering your progress? Take AIMMS's new quiz to uncover learnings and benchmark yourself against peers!

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New Planning Maturity Assessment

Test your Planning Fitness. In today's new supply chain paradigm, resilience and agility are key. Is your planning process fit enough to keep up with the pace of change? Is your tech stack helping or hindering your progress? Take AIMMS's new quiz to uncover learnings and benchmark yourself against peers!

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100 Pipeline Plays: The Modern Sales Playbook

Apply tested plays to your funnel - Use real-world scenarios, triggers, actions and expected results to improve your entire funnel. Use our proven data-driven plays to grow your pipeline and crush your revenue targets. Close more deals with these winning plays!

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The Recruiting Crossword Puzzle

Test your recruiter-brain with this crossword puzzle, which reveals the best ways to move forward in your efforts with every answer! You can solve your recruiting problems using new tools and data specifically designed to help do your job: find top passive talent and fill those open reqs – faster than you thought possible.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

Key Learning Objectives: How to leverage human feedback and observability frameworks to detect when the system generates incorrect output and as the basis for accuracy improvements 📈 How the use of playgrounds integrated into the administrative console of the application can isolate the source of the error 🔍 How building a robust regression (..)

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Buyer's Guide for Supply Chain Network Design Software

As a result, most organizations struggle to answer network design questions or test hypotheses in weeks, when results are demanded in hours. Network design as a discipline is complex and too many businesses are still relying on spreadsheets to design and optimize their supply chain.

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Easily Build an Optimization App and Empower Your Data

Speaker: Gertjan de Lange

Discover how the AIMMS IDE allows you to analyze, build, and test a model. In this short demo, you will: See how to quickly model sets, parameters, variables, and a multitude of constraints that will define your mathematical formulation. Experience how efficient you can be when you fit your model with actionable data.