Data Science Dojo

JANUARY 20, 2023

Bellevue, Washington (January 11, 2023) – The following statement was released today by Data Science Dojo, through its Marketing Manager Nathan Piccini, in response to questions about future in-person bootcamps: “They’re back.” Just because the bootcamp ends, doesn’t mean your education does.

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ODSC - Open Data Science

MAY 25, 2023

In particular, we are excited to announce that passes for both ODSC West 2023 and ODSC APAC 2023 are now on sale. ODSC West 2023 The biggest change coming to ODSC West this year is that the conference is now 4 days instead of 3. ODSC APAC 2023 Like in past years, ODSC APAC will be virtual only.

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Towards AI

OCTOBER 30, 2023

Last Updated on October 31, 2023 by Editorial Team Author(s): Anand Taralika Originally published on Towards AI. Setting the Stage: A Snapshot of the Current Gaming Landscape Market Growth: The gaming industry is on an exhilarating rise, with projections showing a leap from $245 billion (2023) to $376 billion by 2028[1].

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ODSC - Open Data Science

MAY 4, 2023

Training 175B Parameter Language Models at 1000 GPU Scale with Alpa and Ray This blog post presents how two open-source frameworks, Alpa and Ray, closely integrate to achieve the scale to train a 175B parameters OPT-175B model (equivalent to GPT-3) with pipeline parallelism up to 1024 A100 GPUs in collaboration with Nvidia.

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ODSC - Open Data Science

MAY 11, 2023

Origins of Generative AI and Natural Language Processing with ChatGPT Joining in on the fun of using generative AI, we used ChatGPT to help us explore some of the key innovations over the past 50 years of AI.

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ODSC - Open Data Science

AUGUST 24, 2023

5 Jobs That Will Use Prompt Engineering in 2023 Whether you’re looking for a new career or to enhance your current path, these jobs that use prompt engineering will become desirable in 2023 and beyond. Get a chance to collaborate with our community/media partner team and support us with the organization of ODSC West 2023!

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Towards AI

JULY 20, 2023

Last Updated on July 20, 2023 by Editorial Team Author(s): Ricky Costa Originally published on Towards AI. Jerome in his Study | Durer NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER The NLP Cypher | 03.14.21 Set the Controls for the ♥ of the Sun NERD OVERLOAD Happy Pi Day!

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Snorkel AI

AUGUST 24, 2023

Natural language processing to extract key information quickly. However, banks may encounter roadblocks when integrating AI into their complaint-handling process. Data + GenAI: a transformative pair Garter's 2023 Hype Cycle for Artificial Intelligence positions generative AI as an enterprise game-changer.

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Snorkel AI

AUGUST 24, 2023

Natural language processing to extract key information quickly. However, banks may encounter roadblocks when integrating AI into their complaint-handling process. Data + GenAI: a transformative pair Garter's 2023 Hype Cycle for Artificial Intelligence positions generative AI as an enterprise game-changer.

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Snorkel AI

AUGUST 24, 2023

Natural language processing to extract key information quickly. However, banks may encounter roadblocks when integrating AI into their complaint-handling process. Data + GenAI: a transformative pair Garter's 2023 Hype Cycle for Artificial Intelligence positions generative AI as an enterprise game-changer.

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Snorkel AI

AUGUST 8, 2023

AI can help identify patterns of suspicious activity, prioritize alerts, and automate portions of the investigation process. AI techniques used to monitor emails for fraud detection and phishing include: Natural language processing (NLP) to identify keywords, phrases, and other patterns that are associated with fraudulent behavior.

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Snorkel AI

AUGUST 8, 2023

AI can help identify patterns of suspicious activity, prioritize alerts, and automate portions of the investigation process. AI techniques used to monitor emails for fraud detection and phishing include: Natural language processing (NLP) to identify keywords, phrases, and other patterns that are associated with fraudulent behavior.

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Snorkel AI

JUNE 23, 2023

This presents a challenge, as high-quality labeled training data remains the primary blocker of machine learning projects—at least according to poll data collected from The Future of Data-Centric AI 2023 attendees. This poll differed from others, in that we allowed respondents to select multiple applications instead of just one.

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Snorkel AI

JUNE 23, 2023

This presents a challenge, as high-quality labeled training data remains the primary blocker of machine learning projects—at least according to poll data collected from The Future of Data-Centric AI 2023 attendees. This poll differed from others, in that we allowed respondents to select multiple applications instead of just one.

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ODSC - Open Data Science

JANUARY 29, 2024

Fine-tuning is important for applying domain-specific knowledge to an existing LLM which provides better performance and prompt results Inference Efficiency An emergent skill in late 2023, its inclusion speaks to its importance. NLP skills have long been essential for dealing with textual data.

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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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Flipboard

FEBRUARY 7, 2023

" pic.twitter.com/4WeT2Gkynq — toddbishop (@toddbishop) February 7, 2023 The news Tuesday follows the Jan. Microsoft in recent weeks has accelerated the pace of AI integrations into its products, many of them powered by OpenAI’s GPT natural language processing technology. OpenAI said in the Jan.

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AssemblyAI

NOVEMBER 9, 2023

In Natural Language Processing (NLP), Text Summarization models automatically shorten documents, papers, podcasts, videos, and more into their most important soundbites. Requirements to get started include an Azure subscription and the Visual Studio IDE. What is Text Summarization for NLP?

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Towards AI

FEBRUARY 10, 2023

Last Updated on February 13, 2023 by Editorial Team Author(s): Lan Chu Originally published on Towards AI. Building natural language processing and computer vision models that run on the computational infrastructures of Amazon Web Services or Microsoft’s Azure is energy-intensive.

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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. Making a budget always helps you find ways to optimize your project that will not exceed your financial limitation.

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Dataconomy

APRIL 25, 2023

These tools use machine learning, natural language processing, computer vision, and other AI techniques to provide you with powerful features and functionalities. Azure AI enables businesses to build, deploy, and manage AI applications at scale, using pre-built models or custom ones.

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Towards AI

JULY 19, 2023

Last Updated on July 19, 2023 by Editorial Team Author(s): Ricky Costa Originally published on Towards AI. John on Patmos | Correggio NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER The NLP Cypher | 02.14.21 The Vision of St. Heartbreaker Hey Welcome back! Connected Papers ? torch==1.2.0…

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Towards AI

JULY 21, 2023

Last Updated on July 21, 2023 by Editorial Team Author(s): Ricky Costa Originally published on Towards AI. John on Patmos | Correggio NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER The NLP Cypher | 02.14.21 The Vision of St. Heartbreaker Hey Welcome back! Connected Papers ? torch==1.2.0…

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IBM Journey to AI blog

AUGUST 3, 2023

The 2023 Cost of a Data Breach report revealed 39% of breached data was stored across multiple types of environments, which was more expensive and difficult to contain than other breaches. Guardium supports deployment on several cloud platforms, including Amazon AWS, Google, IBM Cloud, Microsoft Azure and Oracle OCI.

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The MLOps Blog

MARCH 21, 2023

Machine learning platform in healthcare There are mostly three areas of ML opportunities for healthcare, including computer vision, predictive analytics, and natural language processing. Let’s look at the healthcare vertical for context.

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