Snorkel AI

OCTOBER 13, 2023

Fine-tuning pre-trained large language models like OpenAI’s GPT-3.5 The Snorkel Flow data development platform makes it easy for users to do so, making large language models like GPT-3.5 In this guide, we will explore how to fine-tune GPT-3.5 In this guide, we will explore how to fine-tune GPT-3.5 Let’s get started.

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Snorkel AI

NOVEMBER 28, 2023

Fine-tuning pre-trained large language models like Meta’s Llama 2 adapts them to specific tasks, ensuring higher quality results and achieving reliable output formatting. In this guide, we will explore how to fine-tune Llama 2 using Snorkel Flow in two ways: A user-friendly interface for accessing and fine-tuning all available models.

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Snorkel AI

NOVEMBER 28, 2023

Fine-tuning pre-trained large language models like Meta’s Llama 2 adapts them to specific tasks, ensuring higher quality results and achieving reliable output formatting. In this guide, we will explore how to fine-tune Llama 2 using Snorkel Flow in two ways: A user-friendly interface for accessing and fine-tuning all available models.

Data Science 59

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IBM Journey to AI blog

FEBRUARY 14, 2024

Here are 27 highly productive ways that AI use cases can help businesses improve their bottom line. Voice-based queries use natural language processing (NLP) and sentiment analysis for speech recognition so their conversations can begin immediately. We’re all amazed by what AI can do.

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Snorkel AI

OCTOBER 13, 2023

Fine-tuning pre-trained large language models like OpenAI’s GPT-3.5 The Snorkel Flow data development platform makes it easy for users to do so, making large language models like GPT-3.5 In this guide, we will explore how to fine-tune GPT-3.5 In this guide, we will explore how to fine-tune GPT-3.5 Let’s get started.

Machine Learning 59

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Heartbeat

JULY 19, 2023

source: author Introduction Sentiment analysis is a rapidly growing field within the Natural Language Processing (NLP) domain, which deals with the automatic analysis and classification of emotions and opinions expressed in text. dplyr: This is a package for data manipulation and cleaning in R.

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Heartbeat

SEPTEMBER 13, 2023

Source: ResearchGate Explainability refers to the ability to understand and evaluate the decisions and reasoning underlying the predictions from AI models (Castillo, 2021). Artificial Intelligence systems are known for their remarkable performance in image classification, object detection, image segmentation, and more.

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Pickl AI

AUGUST 29, 2023

One of the most effective programming languages used by Data Scientists is R, that helps them to conduct data analysis and make future predictions. Statistical modeling in R is enables by Data Scientists to extract meaningful information friom data and test hypotheses, ensuring that decision-making is efficient.

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Pickl AI

AUGUST 2, 2023

In the world of Data Science and Machine Learning which are growing exponentially, dimensionality reduction plays an important role. For the purpose of handling large and complex datasets, one of the most popularly used technique is the Principal Component Analysis. What is Principal Component Analysis in Machine Learning?

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Heartbeat

AUGUST 21, 2023

In this guide, we’ll talk about Convolutional Neural Networks, how to train a CNN, what applications CNNs can be used for, and best practices for using CNNs. CNNs learn geometric properties on different scales by applying convolutional filters to input data. What Are Convolutional Neural Networks CNN?

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phData

JANUARY 30, 2024

Humans easily read and understand text (like this post), whereas machines have long struggled to process natural language. Until recent developments in the research community, traditional natural language processing focused on text classification, topic modeling, or simple sentiment analysis.

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AWS Machine Learning Blog

MARCH 29, 2023

As a learning organization, the UNDP highly values the evaluation function. AIDA is a web-based platform that allows program managers and evaluators to expand their evidence base by searching existing data in a smarter, more efficient, and innovative way to produce insights and lessons learned.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

By using the Framework, you will learn operational and architectural best practices for designing and operating reliable, secure, efficient, cost-effective, and sustainable workloads in the cloud. By reading this post, you will learn about the Operational Excellence pillar in the Well-Architected Framework with the IDP case study.

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Data Science Dojo

MAY 24, 2023

Machine learning practices are the guiding principles that transform raw data into powerful insights. By following best practices in algorithm selection, data preprocessing, model evaluation, and deployment, we unlock the true potential of machine learning and pave the way for innovation and success.

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Heartbeat

MARCH 28, 2023

A complete guide to building a deep learning project with PyTorch, tracking an Experiment with Comet ML, and deploying an app with Gradio on HuggingFace Image by Freepik AI tools such as ChatGPT, DALL-E, and Midjourney are increasingly becoming a part of our daily lives. These tools were developed with deep learning techniques.

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AWS Machine Learning Blog

MAY 7, 2024

Large language models (LLMs) have unlocked new possibilities for extracting information from unstructured text data. By handling most of the heavy lifting, services like Amazon SageMaker JumpStart remove the complexity of fine-tuning and deploying these models.

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IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning?

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Heartbeat

NOVEMBER 28, 2023

Introduction Welcome to the step-by-step guide on efficiently managing TensorFlow/Keras model development with Comet. TensorFlow and Keras have emerged as powerful frameworks for building and training deep learning models. Introducing MLOps Machine learning (ML) is an essential tool for businesses of all sizes.

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The MLOps Blog

MARCH 1, 2024

TL;DR Deep learning models exhibit excellent performance but require high computational resources. Quantization decreases memory usage and computation time by using lower numeric precision for model weights. Choosing the right optimization depends on model type, deployment environment, and performance goals.

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Heartbeat

MAY 29, 2023

These models have the potential to revolutionize industries ranging from customer service to scientific research, but their capabilities and limitations are still not fully understood. However, LLMs are complex, and training and improving them require specific skills and knowledge.

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Dataconomy

APRIL 4, 2023

LaMDA, GPT, and more… Nowadays, everyone talking about AI models and what they are capable of. The use of AI models is expanding rapidly across all industries. Several businesses have found success by adopting AI to boost productivity, streamline operations, and improve the customer service they provide.

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Dataconomy

APRIL 4, 2023

LaMDA, GPT, and more… Nowadays, everyone talking about AI models and what they are capable of. The use of AI models is expanding rapidly across all industries. Several businesses have found success by adopting AI to boost productivity, streamline operations, and improve the customer service they provide.

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ODSC - Open Data Science

JANUARY 25, 2023

Resilient machine learning systems are fast, accurate, and flexible. They assist you in your day-to-day tasks for maximum efficiency, they leverage the latest software and hardware for the fastest performance, and they guide you through complex tasks for the best accuracy.

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AWS Machine Learning Blog

JANUARY 12, 2024

In contrast, text embeddings use machine learning (ML) capabilities to capture the meaning of unstructured data. In contrast, text embeddings use machine learning (ML) capabilities to capture the meaning of unstructured data. This makes processing more efficient and improves performance for multilingual applications.

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The MLOps Blog

JUNE 27, 2023

As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. Open-source tools have gained significant traction due to their flexibility, community support, and adaptability to various workflows.

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Pickl AI

JULY 17, 2023

Machine Learning is a subset of artificial intelligence (AI) that focuses on developing models and algorithms that train the machine to think and work like a human. It entails developing computer programs that can improve themselves on their own based on expertise or data. What is Unsupervised Machine Learning?

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Heartbeat

DECEMBER 20, 2023

With a Focus on ResNet and DenseNet Photo by Ion Fet on Unsplash This comprehensive guide aims to demystify CNNs, providing insights into their structure, functionality, and why they are so effective for image-related tasks. A comparative analysis of DenseNet and ResNet highlights their unique features, benefits, and limitations.

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Flipboard

JULY 10, 2023

Dimensionality Reduction Feature Learning Anomaly Detection Denoising Images Image Inpainting Generative Modeling Recommender Systems Sequence-to-Sequence Learning Image Segmentation How Are Autoencoders Different from GANs? Home Table of Contents Introduction to Autoencoders What Are Autoencoders?

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Chatbots Life

SEPTEMBER 11, 2023

It provides a detailed overview of each library’s unique contributions and explains how they can be combined to create a functional system that can detect and correct linguistic errors in text data. Learning Objectives: In this article, we will understand the following: What are the spell checker and grammar checker?

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Becoming Human

MAY 15, 2023

If you are a student or a fresher who wants to be a part of the data science domain but is a little bit confused about What to learn? If you are a student or a fresher who wants to be a part of the data science domain but is a little bit confused about What to learn? How much to learn? In this case, what should you do?

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Google Research AI blog

JULY 23, 2023

Posted by Cat Armato, Program Manager, Google Groups across Google actively pursue research in the field of machine learning (ML), ranging from theory and application. Google is also proud to be a Platinum Sponsor for both the LatinX in AI and Women in Machine Learning workshops. Registered for ICML 2023?

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IBM Journey to AI blog

SEPTEMBER 27, 2023

Large language models (LLMs) are foundation models that use artificial intelligence (AI), deep learning and massive data sets, including websites, articles and books, to generate text, translate between languages and write many types of content. The license may restrict how the LLM can be used.

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AWS Machine Learning Blog

OCTOBER 24, 2023

In this post, we discuss how to extend a new or existing IDP architecture with large language models (LLMs). In this post, we discuss how to extend a new or existing IDP architecture with large language models (LLMs). For example, a financial analysis system may involve analyzing hundreds of pages of earnings documents of a company.

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AWS Machine Learning Blog

SEPTEMBER 6, 2023

Today, we are excited to announce the capability to fine-tune Llama 2 models by Meta using Amazon SageMaker JumpStart. The Llama 2 family of large language models (LLMs) is a collection of pre-trained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters.

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AWS Machine Learning Blog

JUNE 6, 2023

PyTorch is a machine learning (ML) framework that is widely used by AWS customers for a variety of applications, such as computer vision, natural language processing, content creation, and more. x but faster and at scale with improved training speeds, lower memory usage, and enhanced distributed capabilities. DLAMI + DLC.

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The MLOps Blog

MAY 31, 2023

Getting machine learning to solve some of the hardest problems in an organization is great. The problem is, with more ML models and systems in production, you need to set up more infrastructure to reliably manage everything. What are the model types that an eCommerce ML platform can support? But how to build it?

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AWS Machine Learning Blog

JANUARY 13, 2023

This blog post is co-written with Chaoyang He and Salman Avestimehr from FedML. To mitigate these challenges, we propose a federated learning (FL) framework, based on open-source FedML on AWS, which enables analyzing sensitive HCLS data. In this decentralized architecture, logging and debugging errors across clients can be difficult.

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