Hacker News

JULY 1, 2025

Also, I have two 0days and received CVEs under my name and a company research blog post to go along with it. I'm also happy to work on other stuff, I had a recent blog post [2] do fairly well on HN a few months back, which would give you get a great idea of how I work. [1] Worked at IBM as a programmer too.

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The MLOps Blog

MARCH 6, 2025

State space models for natural language processing State Space Models (SSMs), long established in time series analysis, have been utilized as trainable sequence models for decades. Around 2020, their ability to efficiently handle long sequences spurred significant progress in adapting them for natural language processing (NLP).

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ODSC - Open Data Science

MARCH 10, 2025

This blog dives deep into these changes of trends in data science, spotlighting how conference topics mirror the broader evolution of datascience. Researchers and practitioners explored complex architectures, from transformers to reinforcement learning , leading to a surge in sessions on natural language processing (NLP) and computervision.

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Data Science Dojo

AUGUST 16, 2023

Transformer models are a type of deep learning model that are used for natural language processing (NLP) tasks. Learn more about NLP in this blog —-> Applications of Natural Language Processing The transformer has been so successful because it is able to learn long-range dependencies between words in a sentence.

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Data Science Dojo

AUGUST 16, 2023

Transformer models are a type of deep learning model that are used for natural language processing (NLP) tasks. Learn more about NLP in this blog —-> Applications of Natural Language Processing The transformer has been so successful because it is able to learn long-range dependencies between words in a sentence.

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KDnuggets

JANUARY 23, 2020

comments By Elvis Saravia, Affective Computing & NLP Researcher 2019 was an impressive year for the field of natural language processing (NLP). In this blog Read more »

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Smart Data Collective

JANUARY 20, 2020

It goes without saying that blogging has slowly and steadily evolved into an indispensable marketing tool. While marketers have been continually using the best possible strategies to improve the existing global blogging landscape, the inclusion of artificial intelligence has taken the ballgame to a whole different level.

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Data Science Dojo

JANUARY 20, 2023

” -DSD- Nothing can compare to Michael Jordan’s announcement in 1995 that he was returning to the NBA, but for Data Science Dojo (DSD), this comes close. In 2020, we had to move our in-person Data Science Bootcamp curriculum to an online format.

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Data Science Dojo

MAY 27, 2024

In this blog, we will explore the details of both approaches and navigate through their differences. Released in 2020, AlphaFold leverages deep learning algorithms to accurately predict the 3D structure of proteins from their amino acid sequences, outperforming traditional methods by a significant margin. What is Generative AI?

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Flipboard

MAY 10, 2023

They have published upwards of 1,000 research papers in the fields of natural language processing , computer vision , common sense reasoning , and other key components of artificial intelligence. Researchers help startup founders at the incubator test ideas and develop and train AI models.

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Hacker News

NOVEMBER 15, 2023

The court clerk of AI is a process called retrieval-augmented generation, or RAG for short. A blog by Lewis and three of the paper’s coauthors said developers can implement the process with as few as five lines of code. A recent blog provides an example of RAG accelerated by TensorRT-LLM for Windows to get better results fast.

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Smart Data Collective

SEPTEMBER 8, 2020

1 Start a Blog with Machine Learning Algorithms in Place. Blogs are a great way to build your brand’s voice while utilizing insights from big data. Here are some quick stats on what’s happening in the world of blogging and WordPress in 2020. 77 million new blog comments are generated by readers each month.

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AWS Machine Learning Blog

DECEMBER 14, 2023

Our pipeline belongs to the general ETL (extract, transform, and load) process family that combines data from multiple sources into a large, central repository. The following is the sample code to schedule a SageMaker Processing job for a specified day, for example 2020-01-01, using the SageMaker SDK. session.Session().region_name

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Towards AI

JULY 21, 2023

Photo by Kunal Shinde on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 08.09.20 His blog post discusses the different areas of impact from societal to cognitive road-blocks on the lack of these datasets. Below are the bullet-points from the blog on what you can do to help.

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IBM Journey to AI blog

NOVEMBER 10, 2023

Just in 2020, the Centers for Medicare and Medicaid Services (CMS) published a rule for healthcare systems whereby patients, providers, and payers must be able to easily exchange information. In the US, these inefficiencies contribute to an increasing healthcare system waste and challenges delivering cost-effective quality care.

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Mlearning.ai

FEBRUARY 19, 2023

You don’t need to have a PhD to understand the billion parameter language model GPT is a general-purpose natural language processing model that revolutionized the landscape of AI. GPT-3 is a autoregressive language model created by OpenAI, released in 2020 . What is GPT-3? Hope you like it!

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Defined.ai blog

JANUARY 19, 2023

While the US has a comparative advantage in several AI areas, such as AI services, audio and natural language processing, robotics, and connected and automated vehicles, one factor giving China its competitive edge is its access to big data, the fuel of AI development. One of this AI projects is Accelerat.ai,a

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AWS Machine Learning Blog

APRIL 3, 2023

We also demonstrate how you can engineer prompts for Flan-T5 models to perform various natural language processing (NLP) tasks. A myriad of instruction tuning research has been performed since 2020, producing a collection of various tasks, templates, and methods. encode("utf-8") client = boto3.client("runtime.sagemaker")

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IBM Journey to AI blog

AUGUST 12, 2024

Wearable devices (such as fitness trackers, smart watches and smart rings) alone generated roughly 28 petabytes (28 billion megabytes) of data daily in 2020. The process includes activities such as anomaly detection, event correlation, predictive analytics, automated root cause analysis and natural language processing (NLP).

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Dataconomy

OCTOBER 27, 2023

2 uses natural language processing to generate imagery based on your text prompts. Pros: Very simple user interface Can reschedule meetings on the fly based on your schedule Assign “Focus Time” sessions to encourage you to take breaks Cons: The pricing structure is overly complex Glitchy “Travel Time” scheduling feature DALL.E

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The MLOps Blog

MARCH 23, 2023

The size of large NLP models is increasing | Source Such large natural language processing models require significant computational power and memory, which is often the leading cause of high infrastructure costs. 2020 or Hoffman et al., 2020 or Hoffman et al.,

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AWS Machine Learning Blog

OCTOBER 30, 2024

These embeddings are useful for various natural language processing (NLP) tasks such as text classification, clustering, semantic search, and information retrieval. For this demonstration, we use a public Amazon product dataset called Amazon Product Dataset 2020 from a kaggle competition.

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AssemblyAI

MARCH 21, 2023

In the upcoming blog posts we are going to provide an in-depth overview of GNNs and their related architectures, as well as going into the details of some of the latest exciting applications of Graph Neural Networks. This article is the first one of a series on Graph Neural Networks.

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Snorkel AI

MARCH 1, 2023

This process results in generalized models capable of a wide variety of tasks, such as image classification, natural language processing, and question-answering, with remarkable accuracy. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Devlin et al.

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Dataversity

FEBRUARY 15, 2021

From business processes and smart home technology to healthcare and life sciences, AI continues to evolve and grow as it plays an increasing role in many aspects of our work, home lives, and beyond. As we bid 2020 a […].

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AWS Machine Learning Blog

SEPTEMBER 9, 2024

As LLMs have grown larger, their performance on a wide range of natural language processing tasks has also improved significantly, but the increased size of LLMs has led to significant computational and resource challenges. Dr. Maxime Hugues is a Principal WW Specialist Solutions Architect GenAI at AWS, which he joined in 2020.

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Pickl AI

JULY 24, 2024

This blog explores the rich history of AI, tracing its origins, key developments, and challenges over the decades. ” During this time, researchers made remarkable strides in natural language processing, robotics, and expert systems. In 2011, IBM’s Watson gained fame by winning the quiz show “Jeopardy!”

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AWS Machine Learning Blog

OCTOBER 26, 2023

Since its introduction in 2021, Amazon SageMaker Canvas has enabled business analysts to build, deploy, and use a variety of ML models – including tabular, computer vision, and natural language processing – without writing a line of code. Advances in Neural Information Processing Systems , 33 , 9459-9474. Petroni, F.,

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AWS Machine Learning Blog

MARCH 31, 2023

Call volumes increased further in 2020 when the COVID-19 pandemic struck and driver licensing regional offices closed. Also, the introduction of federal REAL ID requirements in 2019 resulted in increased call volumes from drivers with questions.

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Heartbeat

AUGUST 23, 2023

But what if there was a technique to quickly and accurately solve this language puzzle? Enter Natural Language Processing (NLP) and its transformational power. But what if there was a way to unravel this language puzzle swiftly and accurately?

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Dataversity

DECEMBER 10, 2021

billion in 2020 and is expected to more than double by 2024. As organizations settle into a “new normal,” they must consider where to focus their continued transformation efforts. Global spending on artificial intelligence reached $50.1 More than two-thirds of workers in a recent survey said […].

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AWS Machine Learning Blog

MARCH 1, 2023

Amazon Comprehend is a managed AI service that uses natural language processing (NLP) with ready-made intelligence to extract insights about the content of documents. It develops insights by recognizing the entities, key phrases, language, sentiments, and other common elements in a document.

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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. Nat Mach Intell 2, 305–311 (2020). As seen in the preceding figure, from the application point of view, FedML shields details of the underlying code and complex configurations of distributed training. Reference. [1] 1] Kaissis, G.A., Makowski, M.R.,

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Heartbeat

JUNE 6, 2023

In recent years, researchers have also explored using GCNs for natural language processing (NLP) tasks, such as text classification , sentiment analysis , and entity recognition. Once the GCN is trained, it is easier to process new graphs and make predictions about them. Richong, Z., Yongyi, M., & Xudong L.

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Heartbeat

DECEMBER 5, 2023

This blog will briefly introduce and compare the A100, H100, and H200 GPUs. You will also be able to find important information, such as how many GPUs companies need for their Large Language Models (LLMs) as well as their energy consumption. Tensor Cores contribute to efficient inference processing.

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Pickl AI

FEBRUARY 22, 2023

In this blog, we are going to take you through some of the key aspects associated with the profession of AI engineering and the best countries that offer excellent growth opportunities to such professionals. Did you know that an AI engineer can earn up to $149,671 per year.

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Google Research AI blog

FEBRUARY 1, 2023

Posted by Shayne Longpre, Student Researcher, and Adam Roberts, Senior Staff Software Engineer, Google Research, Brain Team Language models are now capable of performing many new natural language processing (NLP) tasks by reading instructions, often that they hadn’t seen before.

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