AWS Machine Learning Blog

MAY 2, 2024

Reward modeling You can choose an LLM and have it generate numerous responses to diverse prompts, and then your human labelers will rank those responses. It’s important to have diversity in human labelers. Clear labeling guidelines are critical. drop(columns=['label']).rename( reset_index( drop=True).drop(columns=['label']).rename(

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Smart Data Collective

SEPTEMBER 8, 2020

This is especially true now with COVID in play, and new ‘work from home’ and transportation guidelines in place. When it comes time to start writing your content, it’s best to focus on your target audience and exactly what they are looking for. And always keep in mind, write for your audience and not the search engines.

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Pickl AI

SEPTEMBER 21, 2023

These include addressing biases in training data, mitigating issues related to model behavior, and ensuring the model aligns with ethical guidelines. Fine-tuning of ChatGPT is an intricate process that involves exposing the model to a labeled dataset, specifically tailored to the desired task or domain.

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Dataconomy

OCTOBER 17, 2023

Here’s the best part: you don’t need to wear a cape labeled ‘Prompt Expert’ to tap into this potential. You can write Midjourney prompts for logo design (Image: Kerem Gülen/Midjourney ) We’ve asked ChatGPT to create 3 logos, based on our descriptions above. Together, they form a dynamic duo.

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Explosion

DECEMBER 14, 2021

We give the group of ICD-11 classified terms and general health problems the label Condition. In contrast to the Condition label, these are desired health aspects that you generally want to “increase”. Because they’re the opposite of the Condition label, we need to define another label, we call it Benefit.

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Dataconomy

DECEMBER 14, 2023

The platform recently announced a major update to its artistic nudity policy, the new Twitch TOS now allows previously prohibited content as long as it’s appropriately labeled. This label warns viewers that the stream contains mature content, allowing them to make informed decisions about whether or not to watch.

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AWS Machine Learning Blog

MAY 30, 2023

Amazon SageMaker Ground Truth Plus helps you prepare high-quality training datasets by removing the undifferentiated heavy lifting associated with building data labeling applications and managing the labeling workforce. From there, an expert workforce that is trained on a variety of machine learning (ML) tasks labels your data.

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The MLOps Blog

JUNE 27, 2023

This includes features for data labeling, data versioning, data augmentation, and integration with popular data storage systems. Dataset labeling and annotation Dataset labeling and annotation tools form a critical component of machine learning (ML) systems, enabling you to prepare high-quality training data for their models.

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Hacker News

MAY 3, 2023

The core process is a general technique known as self-supervised learning , a learning paradigm that leverages the inherent structure of the data itself to generate labels for training. Fine-tuning may involve further training the pre-trained model on a smaller, task-specific labeled dataset, using supervised learning.

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Mlearning.ai

JULY 5, 2023

Creating a Basic Kivy App To create a basic Kivy app, follow these steps: Import Kivy modules: Begin by importing the necessary Kivy modules into your Python script: import kivy from kivy.app import App from kivy.uix.label import Label Define your app class: Create a new class inheriting from the App base class, and define the build() method.

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AWS Machine Learning Blog

MARCH 14, 2024

By the end, you will have solid guidelines and a helpful flow chart for determining the best method to develop your own FM-powered applications, grounded in real-life examples. You can privately customize FMs with your own data through a visual interface without writing any code. This makes the output more interesting and grounded.

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AssemblyAI

MAY 23, 2023

With these complex algorithms often labeled as "giant black boxes" in media, there's a growing need for accurate and easy-to-understand resources, especially for Product Managers wondering how to incorporate AI into their product roadmap. An LLM is considered aligned if it meets these guidelines.

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The MLOps Blog

OCTOBER 20, 2023

Jupyter notebooks are useful in different domains and for different purposes | Source: Author Jupyter notebook: guidelines for effective storytelling Writing Jupyter notebooks is basically a way of telling a story or answering a question about a problem you’ve been investigating. x_labels: List of labels for the x-axis.

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AWS Machine Learning Blog

JULY 31, 2023

SageMaker Canvas is a low-code/no-code managed service that allows you to create ML models that can solve many business problems without writing a single line of code. This is due to the fact that, usually, almost all the transactions in the dataset are non-fraudulent with only a few labeled as frauds.

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Chatbots Life

MAY 12, 2023

The SFT technique was based on training the model directly to produce responses submitted by the labellers given the same input as them, without the reinforcement learning process. This makes the model useful for writing standalone functions or modules but doesn’t make it suitable for writing complex applications. Teach With It.

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The MLOps Blog

JUNE 6, 2023

This can involve writing your own Python scripts or utilizing general-purpose libraries like Kedro or MetaFlow. Split the data into features and labels. We separate the dataset into input features (X) and the target label (y). Write clear and concise comments in your code, explaining the purpose of each step and function.

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Explosion

DECEMBER 17, 2013

The most confusing thing about this problem area is that “correctness” is defined by convention — by annotation guidelines. If you haven’t read the guidelines and you’re not a linguist, you can’t tell whether the parse is “wrong” or “right”, which makes the whole task feel weird and artificial. It’s worth dwelling on this point a bit.

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Ines Montani

MAY 9, 2017

For instance, dependency labels used to be much more relevant – now, our biggest focus is getting spaCy up to speed with deep learning. This includes everything you say and do – from documentation you write to issues you answer. We try to label issues as they come in, even if we don’t have time to reply or get to the bottom of them.

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Mlearning.ai

MAY 15, 2023

PEP 8 is especially important since it documents the style guidelines for Python Code. Apparently contributing to the Python open-source community requires you to follow these style guidelines sincerely and strictly. A dataframe is a 2D mutable and tabular structure for representing data labeled with axes — rows and columns.

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phData

DECEMBER 4, 2023

Snowflake publishes file size guidelines, and phData recommends checking periodically to see if they have changed. You could always write a document that specifies these steps and rely on people following them to create Snowflake roles correctly; but in practice, you will eventually have issues. Aim for 100-megabyte files (compressed).

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The MLOps Blog

DECEMBER 7, 2022

In crypto, we call this a Wednesday” With that scenario in mind, before we could all start getting our hands dirty and write a single line of code, we had to set the strongest possible foundations for everything we were going to build. If you have any doubts, questions, or comments, please feel free to write to me. has to offer.

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Snorkel AI

APRIL 28, 2023

Our dream is to turn what costs you one hour to train down to a couple of minutes—and turn whatever you are doing that requires 10 labels down to one label. If you do not want to write code, wouldn’t that be nice if every single autoML platform had this magic button called improve data? It actually works.

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Snorkel AI

APRIL 28, 2023

Our dream is to turn what costs you one hour to train down to a couple of minutes—and turn whatever you are doing that requires 10 labels down to one label. If you do not want to write code, wouldn’t that be nice if every single autoML platform had this magic button called improve data? It actually works.

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Iguazio

APRIL 24, 2024

By integrating LLM outputs with traditional ML models that can filter, modify, or enhance the generated content based on pre-defined legal and ethical guidelines, businesses can ensure that their use of AI remains within legal boundaries. This can allow for more nuanced and effective marketing and customer care strategies.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

Then they have to create and maintain large clusters of GPUs/accelerators, write code to efficiently distribute model training across clusters, frequently checkpoint, pause, inspect and optimize the model, and manually intervene and remediate hardware issues in the cluster. Then you point to a few labeled examples (e.g.,

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Mlearning.ai

SEPTEMBER 6, 2023

Prompt engineering cheat sheet The ten most important techniques to write prompts: You’ll learn the 10 most important techniques for crafting effective prompts, such as: Clear instructions Defining the output format Prompt templates Data context Few-shot examples How to deal with “don’t know” / “won’t answer” cases (ie.

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AssemblyAI

AUGUST 1, 2023

In recent months, Large Language Models (LLMs) have garnered much attention for their ability to write code, draft documents, and more. A dataset is formed where each prompt has two potential responses with associated preference scores as labels From here, the rest of the RLAIF procedure is identical to that of RLHF.

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