Hacker News

JUNE 7, 2023

But there are different ways to use prompts in different categories. But the largest category of prompts so far in the Prompt Repository are function prompts : prompts which take text you supply, and do operations on it. Function prompts are all about taking existing text, and transforming it in some way. So what are they so far?

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Heartbeat

NOVEMBER 15, 2023

The Naive Bayes model determines whether an email is spam based on the frequency of words in each category. This makes replicating experiments, debugging models, and comparing various approaches simple. This data is kept in a centralized location, making it simple to replicate experiments and debug models.

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O'Reilly Media

OCTOBER 17, 2023

Attempts to define prompt engineering fall into two categories: Coming up with clever prompts to get an AI to do what you want while sitting at your laptop. To say nothing of debugging and testing.) Although I agree that designing good prompts for AI is an important skill, Agarwal overstates his case.

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Towards AI

AUGUST 25, 2023

Describe the problem, including the category of ML problem. Avoid asking users to help debug your code. Describe the dataset in detail and be willing to share your dataset(s). Describe any data preparation and feature engineering steps that you have done. Describe any models that you have tried. and share the link on the forum.

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The MLOps Blog

JANUARY 23, 2023

And when they fail, it is hard to debug them and understand the root cause. We have Quality Assurance (QA) or User Researchers manually testing and debugging problems. You need to take a look, inspect, debug, and compare model versions. But even then, you need to manually inspect/debug/compare your models from time to time.

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Snorkel AI

APRIL 28, 2023

The talk explored Zhang’s work on how debugging data can lead to more accurate and more fair ML applications. Wouldn’t it be nice if every single Jupyter notebook had a magic button called “Debug?” In this case, you can also use fairness as an objective for data debugging. A transcript of the talk follows. They need help.

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Snorkel AI

APRIL 28, 2023

The talk explored Zhang’s work on how debugging data can lead to more accurate and more fair ML applications. Wouldn’t it be nice if every single Jupyter notebook had a magic button called “Debug?” In this case, you can also use fairness as an objective for data debugging. A transcript of the talk follows. They need help.

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Pickl AI

NOVEMBER 2, 2023

Cheat sheets in this category provide guidance on creating various plots and charts and offer tips for effective visualization. . Broadly this domain can be divided into the following categories: Key Machine Learning Algorithms and Their Applications – A list of common algorithms (e.g.,

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Shreyansh Singh

NOVEMBER 29, 2020

The dataset has 4 features - Sepal Length Sepal Width Petal Length Petal Width These lengths are in cm, and these fields are used to predict the type of the Iris, among 3 categories - Setosa, Versicolour and Virginica. DEBUG) logging. ml-deployment/ │.gitignore model.pkl model.py Here, we define the name of our app. setLevel(logging.

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DagsHub

MAY 7, 2024

It provides a suite of features for model optimization and debugging, through automated testing, explainability, and root cause analysis. It enables quick and accurate debugging of model drift, overfitting, bias, and high error segments with unique AI root cause analysis.

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DagsHub

MAY 7, 2024

It provides a suite of features for model optimization and debugging, through automated testing, explainability, and root cause analysis. It enables quick and accurate debugging of model drift, overfitting, bias, and high error segments with unique AI root cause analysis.

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Dataconomy

DECEMBER 4, 2023

Additionally, the memo highlighted several enhancements being made to the feature, including an improved configuration interface and enhanced debug messages. Number of Installs : 6 Category : Productivity This extension seems to focus on converting specific types of content (Bard responses) into PDF format.

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Explosion

OCTOBER 1, 2019

In addition to new model packages and features for training, evaluation and serialization, we’ve made lots of bug fixes, improved debugging and error handling, and greatly reduced the size of the library on disk. Better Dutch NER with 20 categories Our friends at NLP Town have been making some great contributions to spaCy’s Dutch support.

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Algorithm Natural Language Processing Python Data Science 59

IBM Journey to AI blog

NOVEMBER 24, 2023

Provide a visual representation of the mapping and matching score with BIAN Hierarchical navigation and filters for BIAN levels, API Category and matching score. In addition, teams were able to identify key API categories for building right operational resilience. Ease of integration of APIs with channel front-end layers.

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phData

SEPTEMBER 13, 2023

Is this category the one I want to filter to? Dividing the logic into smaller chunks lets Sigma’s SQL optimizer run as efficiently as possible, enables parallel execution of logic (you can evaluate True and False results, not just True or False), and helps your workbooks be easier to debug. True or False. True or False. True or False.

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SQL Data Modeling Data Models Analytics 52

Explosion

NOVEMBER 28, 2023

For token-level annotation we propose the pairwise F1 score, that also comes with a confusion matrix to help identify problematic pairs of categories. Added PRODIGY_LOG_LOCALS environment variable to supply local variables for when debugging Prodigy error messages Support Add support for spacy 3.6-3.7, Pydantic v2.0,

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AWS Machine Learning Blog

MARCH 22, 2023

Rekognition Custom Labels builds off of the existing capabilities of Amazon Rekognition, which is already trained on tens of millions of images across many categories. For more information, refer to Viewing and debugging executions on the Step Functions console. With Rekognition Custom Labels, we take care of the heavy lifting for you.

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Smart Data Collective

JUNE 14, 2022

To properly configure and secure a network, firms look for applicants that are experienced in debugging, configuring, troubleshooting, and securing these devices. Candidates that have received training are always in demand, and organizations is always looking to hire them to fight data breaches. Let us talk about a couple of them.

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DrivenData Labs

JANUARY 22, 2024

Index , "start" : example [ "start" ], "end" : example [ "end" ], "concept_id" : sctid , # The following are useful for debugging and analysis "FSN" : SG. train = pd. text , } ) sctid = linker. get_concept_details ( sctid ). fsn , "entity" : row. unique ( np. unique ( np.

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Google Research AI blog

JANUARY 24, 2023

Societal Context Data: We used our experimental societal context repository (SCR) to supply the Perspective team with auxiliary identity and connotation context data for terms relating to categories such as ethnicity, religion, age, gender, or sexual orientation — in multiple languages.

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Heartbeat

MAY 15, 2023

are one such platform that offers these services for different product categories. Photo by Igor Miske on Unsplash Introduction In the modern era of shopping, many people have adopted digital ways of getting products to their doorstep. Online e-commerce stores (like Amazon, Flipkart, etc.) Check out Comet’s new Image Panel !

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FlowingData

AUGUST 10, 2023

When you visualize a dataset with a lot of categories, a long bar chart can be a bit much, so here are simple options to make it less jumble-ish. Welcome to The Process , where we look closer at how the charts get made. This is issue #251. I’m Nathan Yau. Become a member for access to this — plus tutorials, courses, and guides.

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The MLOps Blog

JUNE 27, 2023

Can you debug system information? Truera offers capabilities such as model debugging, explainability, and fairness assessment to gain insights into model behavior and identify potential issues or biases. Kolena Kolena is a platform for rigorous testing and debugging to build team alignment and trust. Can you compare images?

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O'Reilly Media

OCTOBER 19, 2021

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. The new category is often called MLOps.

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Shreyansh Singh

DECEMBER 14, 2019

My exploit code - from pwn import * # context.log_level = 'debug' p = process( " /kamikaze" ) e = ELF( ' /kamikaze' ) p = remote( "13.48.67.196" , 50000 ) offset = 10 p. Pretty straightforward. The offset of the crash is calculated using gef’s pattern create and pattern search functionality.

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Pickl AI

FEBRUARY 8, 2023

For example, data visualisation tools can use ChatGPT to automatically generate labels for a bar chart, describing the categories and values represented. Text generation: ChatGPT can generate descriptive text for visualisations, such as chart titles, captions, and axis labels. ChatGPT Mind Blowing Extensions to use it Anywhere 1.

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The MLOps Blog

JUNE 6, 2023

This approach provides enhanced visibility and debugging capabilities with minimal additional effort We will build something exactly like this in the upcoming section. Debugging: Identifying and fixing issues within a pipeline can be difficult due to the interconnected nature of the components.

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Heartbeat

JULY 20, 2023

A 79% success rate over the positive label category. System metrics automatically logged to Comet It displays information like: GPU Utilization GPU Memory Utilization CPU Utilization RAM Utilization These metrics help monitor your system health and debug experiment failures due to resource errors.

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DrivenData Labs

MARCH 27, 2023

Log general information that will help you debug your submission. In [11]: train_metadata. unique () Out[12]: array([2, 1]) In [13]: train_metadata. melanoma_history. Include any model weights in your submission zip as there will be no network access. Test your submission locally and using the smoke test functionality on the platform.

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How to Learn Machine Learning

JANUARY 10, 2023

The most extensible feature of this programming language is that it executes the coding for the development of blockchain apps one by one, this way, you become able to detect as well as debug all the errors very conveniently. You can find a wide variety of Python books here , and Online Python Programming Courses.

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Machine Learning Machine Learning Python SQL 52

The MLOps Blog

MAY 9, 2023

1) Monitor your model in production with Metrics and logs to debug errors. This can make building new pipelines easier and quicker, debugging existing ones, and integrating them with other organizational tech services. Click on the model name. You will see a dashboard to view the details of the model you are serving in production. (1)

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The MLOps Blog

DECEMBER 29, 2022

For CPU, for most code, if you’re doing Python, you can do step-3 debugging. Then be able to understand how you do the equivalent of step-3 debugging on a GPU and see how much memory is being used. That all starts with understanding how to debug what you’re doing. It’s not my thing.”

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PyImageSearch

FEBRUARY 12, 2024

safety_settings pertain to content filtering thresholds for categories like harassment and hate speech. The comparison suggested that Google’s Gemini Pro, despite its advanced capabilities, still requires enhancements in flexibility and debugging to match the contextual awareness and error management seen in ChatGPT-3.5.

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O'Reilly Media

NOVEMBER 28, 2023

Any attempt at automating customer service needs to be very carefully tested and debugged. The LLaMA-family models also fall into the “so-called open source” category that restricts what you can build. We interpret our survey results as “cautious but excited adoption.”

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Explosion

JUNE 18, 2021

During the boot sequence, it hits an error and goes to the debug console. Maybe you could sort the support tickets into categories, by type of problem, and try to predict that? So where do you start? The computer won’t turn on. I keep trying to turn the computer on, but it goes black and resets.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

With guardrails, customers can specify topics to avoid, and Amazon Bedrock will only provide users with approved responses to questions that fall in those restricted categories. For example, an online banking application can be set up to avoid providing investment advice, and remove inappropriate content (such as hate speech and violence).

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AWS Machine Learning Blog

SEPTEMBER 6, 2023

max_train_samples – For debugging purposes or quicker training, truncate the number of training examples to this value. max_val_samples – For debugging purposes or quicker training, truncate the number of validation examples to this value. I think there is nothing.nnn—n**Categories:**nn- [Conversation (32)](./conversation/32.md)n

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