Towards AI

JULY 17, 2023

For example, if we are working on a face recognition system, our first step is to define the problem as a function to map an input image to an identifier: For a medical diagnosis system, we can define a function to map symptoms to diagnostics: We can write a model to provide an image given a sequence of words: This is an endless list.

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Data Science Dojo

AUGUST 22, 2023

Intelligent content creation and curation: LLMs can be used to generate engaging headlines, write compelling copy, and even provide real-time feedback on content quality. The New York Times uses LLMs to write headlines and summaries of its articles. The BBC uses LLMs to create interactive stories that users can participate in.

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Flipboard

JUNE 8, 2023

Culatta said he’s found educators are very excited about the opportunities and possibilities of using generative AI — a type of artificial intelligence technology with the ability to produce various types of content, including text, images, audio and synthetic data — in their classrooms. They just need context and training.

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Defined.ai blog

AUGUST 1, 2023

The generator continually improves its outputs in an attempt to fool the discriminator, resulting in the creation of realistic synthetic data. This can be used for tasks such as drafting emails, writing reports, or creating content. Data Augmentation Generative AI has the ability to produce synthetic data to enhance datasets.

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Mlearning.ai

JANUARY 3, 2024

Synthetic Test Data Generation Generating hundreds of QA (Question-Context-Answer) samples from documents manually can be a time-consuming and labor-intensive task. Synthetic Data Generation uses Large Language Models to generate a variety of Questions/Prompts and Responses/Answers from the Documents (Context).

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Towards AI

APRIL 3, 2024

While writing this article I have also found a paper-stack with face-swap papers, you might want to check it out! It also requires computational resources to achieve high-quality results, making it hard for the current methods to operate in real-time at scale. What has been done in the past? And what to do in practice? What matters?

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Google Research AI blog

JUNE 29, 2023

For this, we will make available as part of the starting kit a dataset of synthetic faces (samples shown below) and we'll also use several real-face datasets for evaluation of submissions. Excerpt images from the Face Synthetics dataset together with age annotations.

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Snorkel AI

APRIL 9, 2024

I recommend that you watch my interview with Matt (embedded below), but I also wanted to share some of my thoughts in writing. Instead of trying to find or create a large, human-created preference data set, we decided to create synthetic alignment data. Our model has fallen quite a bit—down to 12th place, as of this writing.

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Pickl AI

SEPTEMBER 18, 2023

Here are some Generative models in Machine Learning Artificial Intelligence examples of use cases that I have acquired for you to understand the algorithm better: Image Generation: StyleGAN: Used for generating high-quality synthetic images, particularly in the field of art and entertainment. Can an AI model generate data?

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Tableau

JANUARY 25, 2024

Einstein Copilot for Tableau can fill data gaps and enhance analysis by creating synthetic datasets where real data is limited. Einstein Copilot helps you anticipate outcomes with predictive analytics that simulate diverse scenarios and uncover hidden correlations.

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Towards AI

FEBRUARY 12, 2024

They are typically trained by using a corpus of synthetic datasets that are derived from the output of large models like Llama2. SLMs like Orca mimic the reasoning process of larger AI models despite exhibiting a lesser number of parameters than conventional models.

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Hacker News

SEPTEMBER 21, 2023

I know that in other parts of the world, lamb and mutton are more economical and popular to raise than cattle,” she writes. “I’ve But with the advent of synthetic fibers in the 20th century, wool production began to flag, and sheep numbers—and the availability of mutton—declined. (In But I’d love to try mutton.

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Flipboard

OCTOBER 28, 2023

From the audience, we get questions about adapting AI to account for emotional intelligence; advice for aspiring engineers; preventing synthetic content from corrupting human experiences; protecting proprietary corporate data; and the prospects for improving work-life balance as AI increases productivity.

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Applied Data Science

DECEMBER 23, 2022

It was created by fine-tuning GPT-3 with supervised and reinforcement learning: humans provided dialogues or rated ChatGPT’s dialogues in order to guide it towards, not just writing human language, but also chatting in a believable way. GPT-3 writes a poem ChatGPT writes a poem Who should I follow? link] Who should I follow?

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Flipboard

APRIL 30, 2023

” Once quantum computers take hold, researchers could design synthetic molecules for medicines that address specific maladies. That hope is what led him to write “Quantum Supremacy” in the first place. They’ll be replaced by chemists who do use quantum computers. This means all medicine.

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ODSC - Open Data Science

JANUARY 12, 2024

Judges in England and Wales Have Given the Green Light for the Use of AI in Writing Legal Opinions The Courts and Tribunals Judiciary said that AI can now be used to help write legal opinions. This paper introduces a novel method for generating high-quality text embeddings using synthetic data and less than 1,000 training steps.

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Data Science Dojo

AUGUST 2, 2023

AI in CyberSecurity – Source: Read Write AI-powered security analytics AI in processing and analyzing vast amounts of security data AI plays a crucial role in security analytics by processing and analyzing large volumes of data generated from different sources, such as logs, network traffic, user activity, and endpoint events.

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Snorkel AI

FEBRUARY 9, 2024

This could involve prompting, adjusting the data mixture by sampling or filtering, or even adding new data via augmentation or synthetic data generation. Programmatic data development in Snorkel Flow is achieved by writing functions either via code or no-code interfaces.

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Snorkel AI

FEBRUARY 9, 2024

This could involve prompting, adjusting the data mixture by sampling or filtering, or even adding new data via augmentation or synthetic data generation. Programmatic data development in Snorkel Flow is achieved by writing functions either via code or no-code interfaces.

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Pickl AI

FEBRUARY 8, 2023

Therefore, ChatGPT can improve the code generation process by making it more efficient and user-friendly and reducing the time and effort needed to write and maintain the code. For example, a machine learning platform can use ChatGPT to generate synthetic data to train models, increasing the size and diversity of the training data.

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IBM Journey to AI blog

JULY 19, 2023

Content creation : Personas, user stories, synthetic data, generating images, personalized UI, marketing copy, email and social responses and more. Conversational Knowledge: Reviews, knowledge base, product descriptions and more. Code creation: Code co-pilot, code conversion, create technical documentation, test cases and more.

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AWS Machine Learning Blog

FEBRUARY 15, 2024

Anomaly detection for the manufacturing industry At the time of writing, SageMaker Canvas focuses on typical business use cases, such as forecasting, regression, and classification. For this post, we use a CSV file containing the (synthetically generated) measurements of an electrical motor.

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Pickl AI

AUGUST 3, 2023

The generator network generates synthetic data that mimics the real data distribution, while the discriminator network tries to differentiate between real and fake data. How to write a Deep Learning algorithm? Through this adversarial process, GANs learn to generate highly realistic data, such as images, audio, or text.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

The Retrieve and RetrieveAndGenerate APIs allow your applications to directly query the index using a unified and standard syntax without having to learn separate APIs for each different vector database, reducing the need to write custom index queries against your vector store.

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IBM Journey to AI blog

APRIL 18, 2024

The prospect of developing synthetic minds that can learn and solve complex problems promises to revolutionize and disrupt many industries as machine intelligence continues to assume tasks once thought the exclusive purview of human intelligence and cognitive abilities.

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DrivenData Labs

APRIL 10, 2024

Below is a synthetic example that illustrates the basic structure of the task. A synthetic example of medical text and annotations. Check out the team's full write-up and solution in the competition repo. Check out the team's full write-up and solution in the competition repo. in computer science.

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Snorkel AI

MARCH 15, 2023

You can see some of them are entire new industries of copywriting companies, for example, whether that be marketing, or just general writing, or others. These are two works that are exciting, that use large language models to generate training and synthetic data that create better search systems. These are called different modalities.

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Snorkel AI

MARCH 15, 2023

You can see some of them are entire new industries of copywriting companies, for example, whether that be marketing, or just general writing, or others. These are two works that are exciting, that use large language models to generate training and synthetic data that create better search systems. These are called different modalities.

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Snorkel AI

FEBRUARY 13, 2024

Data scientists then use the synthetically labeled data to train the “student” model, which will mirror the “teacher” model’s performance on the task defined by the original data set. At the time of this writing, DistillBERT was among the 20 most downloaded models on Hugging Face. How does knowledge distillation work?

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Snorkel AI

FEBRUARY 13, 2024

Data scientists then use the synthetically labeled data to train the “student” model, which will mirror the “teacher” model’s performance on the task defined by the original data set. At the time of this writing, DistillBERT was among the 20 most downloaded models on Hugging Face. How does knowledge distillation work?

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Data Scientist Data Science AI AI 52

AWS Machine Learning Blog

JULY 24, 2023

GPT-2 displays a broad set of capabilities, including the ability to generate conditional synthetic text samples of unprecedented quality, where we prime the model with an input and let it generate a lengthy continuation. As of this writing, NVIDIA’s conversion tool only supports Hugging Face’s version of GPT-2 model.

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AWS Machine Learning Blog

MAY 7, 2024

Only write the masked text in the response. """ In the following example, you define the llama2_chat function that encapsulates sending the prompt to the Llama-2 model. system = """ Your task is to precisely identify any email addresses from the given text and then write them, one per line. Use ' *' for masking text of any length.

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Becoming Human

JUNE 14, 2023

Robots writing meeting minutes”​ Your meeting minutes generated automatically in a document with ChatGPT right after recording your meeting 1. It will stay synthetic whatever the duration of the meeting. Source:generated by OpenAI DALL-E “Oil style painting of 5 persons connected on Meet. When known, a due date is also inserted.

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IBM Journey to AI blog

FEBRUARY 14, 2024

IBM Research is working to help its customers use generative models to write high-quality software code faster, discover new molecules , and train trustworthy conversational chatbots grounded on enterprise data. Generative AI can produce high-quality text, images and other content based on the data used for training.

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Dataconomy

JANUARY 8, 2024

The generator network takes a random noise vector as input and produces a synthetic image. The discriminator network takes the synthetic image and a real image as input and predicts the probability that the image is real. Well, at least after this writing you don’t have to wonder how does AI generate images anymore.

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Snorkel AI

DECEMBER 20, 2023

Your SMEs need to write the curriculum, grade the exams, and provide constructive feedback. Systematic, high-quality synthetic data generation is increasingly relevant Our customers recognize that their customer data is critical for fine-tuning custom AI. Much like domain experts, domain specific AI needs on-the-job training.

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O'Reilly Media

SEPTEMBER 19, 2023

” Each step has been a twist on “what if we could write code to interact with a tamper-resistant ledger in real-time?” But in its early form of a Hadoop-based ML library, Mahout still required data scientists to write in Java. You can see a simulation as a temporary, synthetic environment in which to test an idea.

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