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Article URL: https://www.schneier.com/blog/archives/2024/03/llm-prompt-injection-worm.html

Comments URL: https://news.ycombinator.com/item?id=39849783

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Article URL: https://github.com/codesplinta/URISanity

Comments URL: https://news.ycombinator.com/item?id=39849778

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Article URL: https://library.harvard.edu/statement-des-destinees-de-lame

Comments URL: https://news.ycombinator.com/item?id=39849773

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In a landscape where 90% of machine learning models falter before reaching production, the imperative for robust model evaluation has never been clearer. The efficacy of machine learning hinges not only on technological prowess but also on astute application and evaluation methodologies.

The Importance of Model Evaluation in Machine Learning

Ensuring optimal model performance is not a mere aspiration but a strategic necessity. By adopting rigorous evaluation practices, organizations can:

- Ascertain Optimal Performance: Benchmark models against diverse alternatives to ensure peak performance.

- Ensure Reliability: Validate models' behavior and integrity, crucial for real-time applications.

- Avert Catastrophe: Prevent financial losses and user dissatisfaction through a thorough evaluation.

- Address Data Leakage: Safeguard against inadvertent data influences to maintain model integrity.

- Enable Continuous Monitoring: Adapt models to evolving environments through ongoing evaluation.

Evaluating Metrics and Techniques for Success

Choosing the right evaluation metrics is pivotal for accurate assessment:

- Accuracy, Precision, Recall, F1-score, and ROC-AUC offer nuanced insights into model performance across diverse scenarios.

- Techniques like Cross-Validation, Holdout Validation, Bootstrapping, and Stratified Sampling cater to various data types and challenges, ensuring robust evaluations.

Navigating Challenges with Best Practices

Effective model evaluation hinges on adherence to best practices, such as:

- Implementing proper data splitting and metric selection mitigates bias and aligns evaluation with model objectives.

- Avoiding common pitfalls like data leakage and overfitting enhances model validity and relevance.

- Continuous model monitoring and re-evaluation ensure adaptability and sustained performance.

Learn how model evaluation can prevent common pitfalls and guarantee optimal performance and reliability.

Read the Full Article on here- https://www.markovml.com/blog/model-evaluation-metrics

#ModelEvaluation #MachineLearningMetrics #MLPerformance #DataIntegrity #EvaluationTechniques #ModelValidity #PerformanceBenchmarking #DataLeakagePrevention #ContinuousMonitoring #MLBestPractices #MachineLearning #ModelPerformanceEval

Comments URL: https://news.ycombinator.com/item?id=39849562

Points: 1

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Article URL: https://www.nature.com/articles/s41586-024-07220-7

Comments URL: https://news.ycombinator.com/item?id=39849560

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Article URL: https://demo.hume.ai/

Comments URL: https://news.ycombinator.com/item?id=39849550

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Article URL: https://reneweconomy.com.au/a-near-100pct-renewable-grid-for-australia-is-feasible-and-affordable-with-just-a-few-hours-of-storage/

Comments URL: https://news.ycombinator.com/item?id=39849548

Points: 1

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So I just want to say how amazing this community was last time I posted.

You all rock.

Today I wanted to share why I believe it is helpful to empower female leadership in the YC community.

As a female artist, CEO of multiple successful startups, I’ve created my top reasons why it is great to stand out as a female “boss”.

1. Empathy based approach towards profits 2. Inspirational brand narratives 3. Promoting equity abroad and at home (within your local community where you likely employ other females) 4. Creating new ideas that have been historically overlooked. 5. Reaching new markets that previous bosses might miss. This may be due to having different life experiences - which is fine.

As a non binary black woman who is often asked how to promote LBGTQIA+, female, black, and non-traditionally represented voices, I have way more I could go into.

Just wanted to share a positive vibe since I’m at my desk and had a minute.

Feel free to add to this list!

All peace and .

Have a wonderful day

-Dakota

Comments URL: https://news.ycombinator.com/item?id=39849543

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Article URL: https://lmatteis.github.io/react-behavioral/

Comments URL: https://news.ycombinator.com/item?id=39849528

Points: 3

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Article URL: https://www.businessinsider.com/sbf-sentencing-ftx-customers-get-money-back-should-it-matter-2024-3

Comments URL: https://news.ycombinator.com/item?id=39849518

Points: 1

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Article URL: https://twitter.com/VadimYuryev/status/1773135334567788661

Comments URL: https://news.ycombinator.com/item?id=39849511

Points: 5

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Article URL: https://github.com/cnlohr/lolra

Comments URL: https://news.ycombinator.com/item?id=39849510

Points: 2

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Doesn't engineering require more creativity than QA testing, which is mostly just repetitive and mundane.

Comments URL: https://news.ycombinator.com/item?id=39849495

Points: 1

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Article URL: https://techcrunch.com/2024/03/27/amazon-doubles-down-on-anthropic-completing-its-planned-4b-investment/

Comments URL: https://news.ycombinator.com/item?id=39849481

Points: 2

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Article URL: https://newcriterion.com/issues/2024/4/the-once-beloved-country

Comments URL: https://news.ycombinator.com/item?id=39849461

Points: 1

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Article URL: https://arstechnica.com/gadgets/2024/03/the-ars-technica-guide-to-keyboards-mechanical-membrane-and-buckling-springs/

Comments URL: https://news.ycombinator.com/item?id=39849447

Points: 1

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Article URL: https://www.promptfast.info

Comments URL: https://news.ycombinator.com/item?id=39849426

Points: 1

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Article URL: https://twitter.com/benngarcia57/status/1773293565327630622

Comments URL: https://news.ycombinator.com/item?id=39849424

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People hate ads. How are they still lucrative? Ive noticed with some apps on my phone, there are native popup ads trying to sell some paid token or premium membership or something, and they are YEARS OLD. But yet, the only thing I know about the popup when I see it, is that it has a 'Not Now' or 'Maybe Later' button. Same goes for any ad on any website.

Ive noticed with my own browsing habits, that when I am on a website trying to read an article or a how-to, or just exploring, my mental goal is not to shop. So these ads are simply an annoyance that are getting in the way of what im actually trying to do. However, when I AM trying to shop, on a website where goods and services are sold, I am much more privy to be influenced by an ad.

At the gas pump when they put on the little embedded TV that plays ads, I toggle my 'mental ad blocker', but when I happen to hear a company name hosting the ad, immediately a feeling of annoyance and intrusion is associated with that company. How are modern methods of advertising even making anybody any money?

Comments URL: https://news.ycombinator.com/item?id=39849420

Points: 1

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