Hacker News

AUGUST 5, 2024

AI networks play an important role in interconnecting tens of thousands of GPUs together, forming the foundational infrastructure for training, enabling large models with hundreds of billions of parameters such as LLAMA 3.1 The growing prevalence of AI has introduced a new era of communication demands.

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Data Science Dojo

JUNE 10, 2024

Data scientists are continuously advancing with AI tools and technologies to enhance their capabilities and drive innovation in 2024. The integration of AI into data science has revolutionized the way data is analyzed, interpreted, and utilized. Data scientists are using NLP to make these assistants smarter and more helpful.

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Pickl AI

MARCH 27, 2023

Well, it’s Natural Language Processing which equips the machines to work like a human. But there is much more to NLP, and in this blog, we are going to dig deeper into the key aspects of NLP, the benefits of NLP and Natural Language Processing examples. What is NLP? However, the road is not so smooth.

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Data Science Dojo

AUGUST 16, 2024

Generative AI (GenAI) is stepping in to change the game by making data analytics accessible to everyone. As data keeps growing, tools powered by Generative AI for data analytics are helping businesses and individuals tap into this potential, making decisions faster and smarter. How is Generative AI Different from Traditional AI Models?

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Flipboard

MAY 16, 2025

With the rise of generative AI and knowledge extraction in AI systems, Retrieval Augmented Generation (RAG) has become a prominent tool for enhancing the accuracy and reliability of AI-generated responses. RAG is as a way to incorporate additional data that the large language model (LLM) was not trained on.

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Data Science Dojo

JULY 17, 2023

In recent years, there has been a growing interest in the use of artificial intelligence (AI) for data analysis. AI tools can automate many of the tasks involved in data analysis, and they can also help businesses to discover new insights from their data. Top 10 AI tools for data analysis AI Tools for Data Analysis 1.

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AWS Machine Learning Blog

FEBRUARY 7, 2025

This post details how we used Amazon Bedrock to create an AI assistant (Untold Assistant), providing artists with a straightforward way to access our internal resources through a natural language interface integrated directly into their existing Slack workflow. Sonnet model for natural language processing.

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Pickl AI

DECEMBER 26, 2024

Summary: The Generative AI Value Chain consists of essential components that facilitate the development and deployment of Generative AI technologies. Understanding this value chain is crucial for businesses aiming to leverage Generative AI effectively. The global Generative AI market is projected to exceed $66.62

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Data Science Dojo

AUGUST 18, 2023

Large language models (LLMs) are AI models that can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. They are trained on massive amounts of text data, and they can learn to understand the nuances of human language.

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AWS Machine Learning Blog

MAY 15, 2025

The challenges in document processing are compounded by the need for specialized solutions that maintain high accuracy while handling sensitive financial data such as banking statements, financial statements, and company annual reports. He holds an M.Sc. Yanwei Cui , PhD, is a Senior Machine Learning Specialist Solutions Architect at AWS.

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Data Science Dojo

JANUARY 31, 2024

Retrieval augmented generation (RAG) has improved the function of large language models (LLM). It empowers generative AI to create more coherent and contextually relevant content. It is an AI framework and a type of natural language processing (NLP) model that enables the retrieval of information from an external knowledge base.

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Flipboard

NOVEMBER 17, 2023

Generative AI models have the potential to revolutionize enterprise operations, but businesses must carefully consider how to harness their power while overcoming challenges such as safeguarding data and ensuring the quality of AI-generated content. Delete the MongoDB Atlas cluster. Set up the database access and network access.

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Data Science Dojo

AUGUST 3, 2023

Chroma is an AI-native open-source embedding database. Faiss is a library for efficient similarity search and clustering of dense vectors. They are used in a variety of AI applications, such as image search, natural language processing, and recommender systems.

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AWS Machine Learning Blog

JUNE 27, 2024

This is a guest post by Arash Sadrieh, Tahir Azim, and Tengfui Xue from NinjaTech AI. NinjaTech AI’s mission is to make everyone more productive by taking care of time-consuming complex tasks with fast and affordable artificial intelligence (AI) agents. We also used AWS ParallelCluster to manage cluster orchestration.

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Dataconomy

JANUARY 26, 2024

They are set to redefine how developers approach natural language processing. Clustering : Employed for grouping text strings based on their similarities, facilitating the organization of related information. The realm of artificial intelligence continues to evolve with New OpenAI embedding models.

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Dataconomy

SEPTEMBER 22, 2023

Databases are the unsung heroes of AI Furthermore, data archiving improves the performance of applications and databases. How can AI help with data archiving? Artificial intelligence (AI) can be used to automate and optimize the data archiving process. There are several ways to use AI for data archiving.

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AWS Machine Learning Blog

AUGUST 8, 2024

Webex’s focus on delivering inclusive collaboration experiences fuels their innovation, which uses artificial intelligence (AI) and machine learning (ML), to remove the barriers of geography, language, personality, and familiarity with technology. Its solutions are underpinned with security and privacy by design.

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Pickl AI

MAY 10, 2023

ML algorithms fall into various categories which can be generally characterised as Regression, Clustering, and Classification. While Classification is an example of directed Machine Learning technique, Clustering is an unsupervised Machine Learning algorithm. It can also be used for determining the optimal number of clusters.

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Data Science Dojo

FEBRUARY 3, 2023

In this blog post, we’ll explore five project ideas that can help you build expertise in computer vision, natural language processing (NLP), sales forecasting, cancer detection, and predictive maintenance using Python.

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Pickl AI

MARCH 13, 2023

The algorithm learns to find patterns or structure in the data by clustering similar data points together. WHAT IS CLUSTERING? Clustering is an unsupervised machine learning technique that is used to group similar entities. Those groups are referred to as clusters.

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Data Science Dojo

JUNE 20, 2023

Its prowess lies in natural language processing (NLP) tasks like sentiment analysis, question-answering, and text classification. GPT-3 (Generative Pretrained Transformer 3) OpenAI’s flagship creation, GPT-3, stands tall as one of the most advanced AI models worldwide. What are some of the benefits of LLMs?

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Dataconomy

MAY 25, 2023

By harnessing the power of AI in IoT, we can create intelligent ecosystems where devices seamlessly communicate, collaborate, and make intelligent choices to improve our lives. Let’s explore the fascinating intersection of these two technologies and understand how AI enhances the functionalities of IoT.

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AWS Machine Learning Blog

JUNE 11, 2024

Each of these products are infused with artificial intelligence (AI) capabilities to deliver exceptional customer experience. Sprinklr’s specialized AI models streamline data processing, gather valuable insights, and enable workflows and analytics at scale to drive better decision-making and productivity.

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Data Science Dojo

MAY 10, 2024

Hence, acting as a translator it converts human language into a machine-readable form. Their impact on ML tasks has made them a cornerstone of AI advancements. These embeddings when particularly used for natural language processing (NLP) tasks are also referred to as LLM embeddings.

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Data Science Dojo

JANUARY 30, 2024

Impqct of AI on healthcare The healthcare landscape is brimming with data such as demographics, medical records, lab results, imaging scans, – the list goes on. Exploring Disease Mechanisms : Vector databases facilitate the identification of patient clusters that share similar disease progression patterns.

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Mlearning.ai

APRIL 10, 2023

How this machine learning model has become a sustainable and reliable solution for edge devices in an industrial network An Introduction Clustering (cluster analysis - CA) and classification are two important tasks that occur in our daily lives. 3 feature visual representation of a K-means Algorithm.

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Towards AI

JANUARY 6, 2025

Author(s): Jennifer Wales Originally published on Towards AI. TOP 20 AI CERTIFICATIONS TO ENROLL IN 2025 Ramp up your AI career with the most trusted AI certification programs and the latest artificial intelligence skills. Read on to explore the best 20 courses worldwide.

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AWS Machine Learning Blog

APRIL 1, 2024

Distributed model training requires a cluster of worker nodes that can scale. Amazon Elastic Kubernetes Service (Amazon EKS) is a popular Kubernetes-conformant service that greatly simplifies the process of running AI/ML workloads, making it more manageable and less time-consuming.

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AWS Machine Learning Blog

JUNE 21, 2024

To accomplish this, eSentire built AI Investigator, a natural language query tool for their customers to access security platform data by using AWS generative artificial intelligence (AI) capabilities. This helps customers quickly and seamlessly explore their security data and accelerate internal investigations.

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AWS Machine Learning Blog

MARCH 11, 2025

DeepSeek-R1 is a large language model (LLM) developed by DeepSeek AI that uses reinforcement learning to enhance reasoning capabilities through a multi-stage training process from a DeepSeek-V3-Base foundation. We demonstrate how to deploy these models on SageMaker AI inference endpoints.

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Smart Data Collective

JUNE 4, 2021

Some of the applications of data science are driverless cars, gaming AI, movie recommendations, and shopping recommendations. Clustering (Unsupervised). With Clustering the data is divided into groups. By applying clustering based on distance, the villages are divided into groups. Natural Language Processing (NLP).

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IBM Journey to AI blog

DECEMBER 20, 2023

That’s why diversifying enterprise AI and ML usage can prove invaluable to maintaining a competitive edge. ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. What is machine learning?

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AWS Machine Learning Blog

JANUARY 31, 2024

Embeddings play a key role in natural language processing (NLP) and machine learning (ML). Text embedding refers to the process of transforming text into numerical representations that reside in a high-dimensional vector space. He is deeply passionate about exploring the possibilities of generative AI.

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Flipboard

MARCH 9, 2023

The AI landscape is being reshaped by the rise of generative models capable of synthesizing high-quality data, such as text, images, music, and videos. In this post, we review the technical requirements and application design considerations for fine-tuning and serving hyper-personalized AI models at scale on AWS.

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Towards AI

MAY 2, 2023

Last Updated on May 9, 2023 by Editorial Team Author(s): Sriram Parthasarathy Originally published on Towards AI. In this post, we explore the concept of querying data using natural language, eliminating the need for SQL queries or coding skills. Use plain English to build ML models to identify profitable customer segments.

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AWS Machine Learning Blog

SEPTEMBER 3, 2024

From deriving insights to powering generative artificial intelligence (AI) -driven applications, the ability to efficiently process and analyze large datasets is a vital capability. This same interface is also used for provisioning EMR clusters. The following diagram illustrates this solution.

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AWS Machine Learning Blog

NOVEMBER 25, 2024

This approach allows for greater flexibility and integration with existing AI and ML workflows and pipelines. By providing multiple access points, SageMaker JumpStart helps you seamlessly incorporate pre-trained models into your AI and ML development efforts, regardless of your preferred interface or workflow.

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