AWS Machine Learning Blog

APRIL 4, 2023

The purpose is to improve accuracy by either training a global model that contains the cluster configuration or have local models specific to each cluster. We recommend running this notebook on Amazon SageMaker Studio , a web-based, integrated development environment (IDE) for ML. to avoid overfitting.

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AWS Machine Learning Blog

AUGUST 14, 2023

Amazon SageMaker JumpStart is a machine learning (ML) hub offering algorithms, models, and ML solutions. You can also access the foundation models thru Amazon SageMaker Studio. Instruction tuning is a technique that involves fine-tuning a language model on a collection of NLP tasks using instructions.

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AWS Machine Learning Blog

AUGUST 21, 2023

Explainability of machine learning (ML) models used in the medical domain is becoming increasingly important because models need to be explained from a number of perspectives in order to gain adoption. In this post, we show how to improve model explainability in clinical settings using Amazon SageMaker Clarify.

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Towards AI

MAY 3, 2023

In this article, we’ll see how the OpenAI API works and how we can use one of its famous models to make our own Chatbot. turbo model. One of the lesser-known features of language models such as GPT 3.5 Each message in the list contains a role and the text we want to send to the model. The roles in OpenAI messages.

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Heartbeat

JANUARY 13, 2024

Quick Summary In this article, I’ll show you how to create amazing images from audio using the magic of Machine Learning and the Transformers models. I’ll explain each step clearly, uncover the secrets behind Whisper, and highlight the incredible abilities of Hugging Face models. Imagine it as a jack of all NLP trades!

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Dataconomy

MARCH 14, 2023

Over the centuries, humans have developed and evolved many forms of communication, from the earliest hieroglyphs and pictograms to the complex and nuanced language systems of today. The model’s automatic speech recognition (ASR) capabilities are not limited to commonly spoken languages like English and Mandarin.

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Heartbeat

FEBRUARY 8, 2023

R Source: i2tutorials Statisticians developed R as a tool for statistical computing. R is frequently used for statistical software development, data analysis, and data visualisation because it can handle large data sets with ease. You can read more about the creation of the R language here.

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IBM Journey to AI blog

FEBRUARY 22, 2024

With the IBM Cloud Security and Compliance Center, clients can gain operational insights about their security and compliance posture. We also offer an EU support model that is designed to provide an extra layer of protection for our clients deploying their workloads in Europe.

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Explosion

JANUARY 29, 2023

We’ve developed a new end-to-end neural coref component for spaCy , improved the speed of our CNN pipelines up to 60%, and published new pre-trained pipelines for Finnish, Korean, Swedish and Croatian. The release includes an experimental English coref pipeline and a sample project that shows how to train a coref model for spaCy.

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How to Learn Machine Learning

JANUARY 21, 2023

Once you have mastered the basics of AI and NLP, you can start to develop a virtual personal assistant. Additionally, you’ll need to create a data model that can be used to store user data and process requests. Finally, you’ll need to develop a user interface that allows users to interact with your virtual personal assistant.

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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. This brings the core team up to four developers – so you can look forward to a lot more to come. German model.

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How to Learn Machine Learning

MAY 14, 2023

A good starting point is to learn about various types of machine learning algorithms, including supervised learning, unsupervised learning, and reinforcement learning. Additionally, you should familiarize yourself with essential machine learning concepts such as feature engineering, model evaluation, and hyperparameter tuning.

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How to Learn Machine Learning

DECEMBER 4, 2022

AutoML is designed to allow developers with no experience in machine learning to train models to perform specific tasks. Predictive coding is a type of AI that can learn from past data and make predictions about future data. Overall, AI shows great promise in helping developers write better code faster.

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AssemblyAI

APRIL 3, 2024

Today, AssemblyAI is launching Universal-1 ,  our most capable and highly trained speech recognition model. This is a chart of the Average Word Error Rate of AssemblyAI's Universal-1 model compared to Deepgram Nova-2, OpenAI Whisper Large-v3, Amazon, Microsoft Azure Batch v3.1, Trained on over 12.5

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How to Learn Machine Learning

JANUARY 21, 2023

Keep hearing about AI? With the development of AI technologies, many industries are leveraging its potential to solve complex problems and improve customer experience. How has artificial intelligence been developed over the years, and where is it headed in the future? Want to know where the field is going this year?

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How to Learn Machine Learning

MARCH 26, 2023

How to Learn Machine Learning gives you the best information to learn about machine learning, one of the main drivers of the next technological revolution. Machine learning is a subset of Artificial Intelligence that relies on the use of algorithms and statistical models to analyze and draw inferences from data sets.

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How to Learn Machine Learning

APRIL 23, 2023

The process can be overwhelming and can stir confusion and doubt about its efficiency. Data encryption may be done before the model comes in, allowing a more challenging data access process. Accessibility to data also makes processes faster and more convenient when it comes to development, testing, and collaborating with others.

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Kaggle

JULY 23, 2020

Daniel, tell us a bit about yourself. As part of the Kaggle CORD-19 challenge I developed discovid.ai  — a search engine for COVID-19 literature. As part of the Kaggle CORD-19 challenge I developed discovid.ai  — a search engine for COVID-19 literature. Well, it’s no surprise you took top marks in the CORD-19 Challenge!

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How to Learn Machine Learning

DECEMBER 2, 2022

AI models are already offering automation and cyber security to diverse industries across the globe. 1 Retail Sector Automation Machine Learning models are capable of helping enterprises in increasing the quality of assortment planning and reliability of delivery. Such models will be much more in use in 2023.

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IBM Journey to AI blog

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data.

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AWS Machine Learning Blog

APRIL 16, 2024

Amazon Lex is a fully managed artificial intelligence (AI) service with advanced natural language models to design, build, test, and deploy conversational interfaces in applications. Reusability – You can reuse CloudFormation templates across multiple environments, such as development, staging, and production.

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Explosion

NOVEMBER 16, 2021

Now that I get to work on it full-time after joining Explosion in October, I’ve been thinking a lot about what I’ve liked in the library and how it has improved. Back then, when I wanted to train my own NER model using spaCy v2, I’d write my own training loop. Lastly, I’ll share a few thoughts as a spaCy user and developer.

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Explosion

APRIL 27, 2023

You can integrate models written in any framework and build on pre-trained transformers that may significantly improve your accuracy. If you’re interested in learning more about the changes implemented in spaCy v3, I recommend watching the introduction video , where Matt and Ines walk you through all the new features and concepts in detail.

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AWS Machine Learning Blog

JANUARY 12, 2024

Embeddings are generated by representational language models that translate text into numerical vectors and encode contextual information in a document. This enables applications such as semantic search, Retrieval Augmented Generation (RAG), topic modeling, and text classification.

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AWS Machine Learning Blog

NOVEMBER 21, 2023

Text vectors or embeddings are numerical vector representations of text that are generated by large language models (LLMs). With SageMaker JumpStart, you can access pre-trained, cutting-edge text embedding models from various model providers, including Hugging Face, AI 21 Labs, Cohere, and Meta AI.

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AWS Machine Learning Blog

MARCH 28, 2024

With the advancements being made with LLMs like the Mixtral-8x7B Instruct , derivative of architectures such as the mixture of experts (MoE) , customers are continuously looking for ways to improve the performance and accuracy of generative AI applications while allowing them to effectively use a wider range of closed and open source models.

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Flipboard

NOVEMBER 20, 2023

Retrieval Augmented Generation (RAG) allows you to provide a large language model (LLM) with access to data from external knowledge sources such as repositories, databases, and APIs without the need to fine-tune it. There are two models in this implementation: the embeddings model and the LLM that generates the final response.

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AWS Machine Learning Blog

FEBRUARY 9, 2024

Enterprises are seeking to quickly unlock the potential of generative AI by providing access to foundation models (FMs) to different lines of business (LOBs). Additionally, they may need to regulate access to different models per team. For example, if only specific FMs may be approved for use.

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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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Google Research AI blog

FEBRUARY 28, 2023

To solve this challenge, ARMMAN developed mMitra , a free mobile service that sends preventive care information to expectant and new mothers. Google Research worked with ARMMAN to design a system to alert healthcare providers about participants at risk for dropping out of their preventative care information program for expectant mothers.

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Flipboard

JANUARY 9, 2024

1 The need to make higher-level languages deterministic across computing platforms drove the development of language standards and specifications. You need to know assembler for a few tricky situations when writing device drivers, or to work with some dark corners of the operating system kernel, and that’s about it.

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Heartbeat

MAY 9, 2023

SpaCy, a free, open source natural language processing library developed in Python, is very popular for use in real products. Now let’s train a multi-label text classifier using SpaCy-v3 on the Huggingface — dair-ai/emotion dataset and track the model trainings and record the results with Comet ML! pip install "spacy >= 3.0.6"

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Chatbots Life

MAY 7, 2024

This integration equips businesses to develop a WhatsApp chatbot that adeptly manages a diverse range of customer inquiries, making it a valuable asset for e-commerce and small businesses aiming to elevate their customer support services. You can also replace “language_code” as per your requirements, but it should be set to “en” by default.

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Data Science 101

NOVEMBER 13, 2023

Threads Dev Interviews I am finding developers on Threads and interviewing them, right on Threads. “Talk about passion projects as much as past work experiences. I did various comp surveys and modeling to help other companies too. com What prompted your move away from and back to the US?

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AWS Machine Learning Blog

DECEMBER 5, 2023

Customers can create the custom metadata using Amazon Comprehend , a natural-language processing (NLP) service managed by AWS to extract insights about the content of documents, and ingest it into Amazon Kendra along with their data into the index. Then, you use your model to classify any number of document sets.

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AWS Machine Learning Blog

APRIL 29, 2024

Today, we are excited to announce that Cohere Command R and R+ foundation models are available through Amazon SageMaker JumpStart to deploy and run inference. Command R/R+ are the state-of-the-art retrieval augmented generation (RAG)-optimized models designed to tackle enterprise-grade workloads.

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AWS Machine Learning Blog

APRIL 17, 2023

“Instead of focusing on the code, companies should focus on developing systematic engineering practices for improving data in ways that are reliable, efficient, and systematic. Amazon Comprehend uses NLP to extract insights about the content of documents. We use Amazon Comprehend to extract the entities from the name column.

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