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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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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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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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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NYU Center for Data Science

JUNE 30, 2023

Results from the study “ Health system-scale language models are all-purpose prediction engines ” published in the journal Nature show that the AI program can predict 80% of readmitted, roughly 5% better than the standard, non-LLM computer model. It is possible that AI technologies would have bias toward minority groups.

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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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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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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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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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Women in Big Data

DECEMBER 13, 2023

The Bay Area Chapter of Women in Big Data (WiBD) hosted its second successful episode on the NLP (Natural Language Processing), Tools, Technologies and Career opportunities. We are hearing about NLP, LLMs, ChatGPT and Generative AI a lot ! Computational Linguistics is rule based modeling of natural languages.

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Towards AI

APRIL 8, 2024

Author(s): Jimmy Jarjoura Originally published on Towards AI. While numerous techniques have been explored, methods harnessing natural language processing (NLP) have demonstrated strong performance. As the model iterates over the data, it builds vector embeddings for each unique song.

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Mlearning.ai

APRIL 8, 2023

Charting the evolution of SOTA (State-of-the-art) techniques in NLP (Natural Language Processing) over the years, highlighting the key algorithms, influential figures, and groundbreaking papers that have shaped the field. Evolution of NLP Models To understand the full impact of the above evolutionary process.

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IBM Data Science in Practice

MARCH 13, 2023

With IBM Watson NLP, IBM introduced a common library for natural language processing, document understanding, translation, and trust. This tutorial walks you through the steps to serve pretrained Watson NLP models using Knative Serving in a Red Hat OpenShift cluster. cp/ai/watson-nlp-runtime:1.0.18

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Towards AI

JUNE 27, 2023

In the rapidly expanding field of artificial intelligence (AI), machine learning tools play an instrumental role. Already a multi-billion-dollar industry, AI is having a profound impact on every aspect of life, business, and society. These tools are becoming increasingly sophisticated, enabling the development of advanced applications.

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AWS Machine Learning Blog

FEBRUARY 2, 2024

One of the most useful application patterns for generative AI workloads is Retrieval Augmented Generation (RAG). Embeddings capture the information content in bodies of text, allowing natural language processing (NLP) models to work with language in a numeric form.

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ODSC - Open Data Science

JUNE 7, 2023

If you are unable to join us at the Tobacco Dock this June, we’ll be hosting lots of engaging training sessions, workshops, and talks on our virtual platform. Check out our confirmed sessions below.

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Dataconomy

MARCH 13, 2023

The creation of artificial intelligence (AI) has long been a dream of scientists, engineers, and innovators. With advances in machine learning, deep learning, and natural language processing, the possibilities of what we can create with AI are limitless. How to create an artificial intelligence?

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Mlearning.ai

AUGUST 2, 2023

Harnessing the Power of Diverse Hardware One of the key advantages of Fully Sharded Data Parallelism is its ability to leverage a mix of powerful GPUs, TPUs, or other specialised hardware in training clusters. Embrace the power of Fully Sharded Data Parallelism and unlock the full potential of your language models.

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Hacker News

NOVEMBER 15, 2023

To understand the latest advance in generative AI , imagine a courtroom. Like a good judge, large language models ( LLMs ) can respond to a wide variety of human queries. Like a good judge, large language models ( LLMs ) can respond to a wide variety of human queries. So, What Is Retrieval-Augmented Generation?

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Mlearning.ai

MARCH 6, 2023

A Beginner’s Guide to FAISS, use-cases, Mathematical foundations & implementation FAISS (Facebook AI Similarity Search) is an open-source library developed by Facebook AI Research (FAIR) for high-dimensional data similarity search and clustering.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. Companies are finding NLP to be one of the best applications of AI regardless of industry.

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Dataconomy

JUNE 29, 2023

These packages offer a wide range of functionalities, algorithms, and tools that simplify the process of creating and training machine learning models. These packages are built to handle various aspects of machine learning, including tasks such as classification, regression, clustering, dimensionality reduction, and more.

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ODSC - Open Data Science

AUGUST 15, 2023

Advancements in data science and AI are coming at a lightning-fast pace. Full-Stack Machine Learning for Data Scientists Hugo Bowne-Anderson, PhD | Head of Data Science Evangelism and Marketing | Outerbounds This session will address the issue of how to make the life cycle of a machine learning project a repeatable process.

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AWS Machine Learning Blog

OCTOBER 5, 2023

Our high-level training procedure is as follows: for our training environment, we use a multi-instance cluster managed by the SLURM system for distributed training and scheduling under the NeMo framework. He is passionate about applying machine learning, optimization, and generative AI techniques to various real-world problems.

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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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Flipboard

JUNE 20, 2023

For reference, GPT-3, an earlier generation LLM has 175 billion parameters and requires months of non-stop training on a cluster of thousands of accelerated processors. The Carbontracker study estimates that training GPT-3 from scratch may emit up to 85 metric tons of CO2 equivalent, using clusters of specialized hardware accelerators.

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Pickl AI

JULY 18, 2023

The AI domain is expanding and is actively penetrating across different business niches. Companies are actively deploying AI technologies to run their businesses smoothly. At the same time, they are also actively hiring professionals with AI expertise. Who is an AI Architect? from 2023 to 2030. Lakhs to ₹ 56.7

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Towards AI

FEBRUARY 20, 2024

Last Updated on February 20, 2024 by Editorial Team Author(s): Vaishnavi Seetharama Originally published on Towards AI. Linear Regression Decision Trees Support Vector Machines Neural Networks Clustering Algorithms (e.g., Linear Regression Decision Trees Support Vector Machines Neural Networks Clustering Algorithms (e.g.,

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phData

DECEMBER 7, 2023

A common example is word embeddings in natural language processing. However, the Generative AI space is rapidly evolving, and you may need to experiment with different models to try to improve performance or search relevance. If this is the case, you can find the latest developments on the Hugging Face Leaderboard.

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Pickl AI

AUGUST 1, 2023

Machine Learning models play a crucial role in this process, serving as the backbone for various applications, from image recognition to natural language processing. K-Means Clustering: Used to partition data into ‘k’ clusters based on similarity. regression, classification, clustering).

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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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Mlearning.ai

JANUARY 27, 2023

The technique is commonly used in natural language processing, computer vision, and information retrieval. To do this, we can use the Word2Vec function of gensim, which is a popular Python library for natural language processing.

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IBM Journey to AI blog

APRIL 18, 2024

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. NLP techniques help them parse the nuances of human language, including grammar, syntax and context.

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ODSC - Open Data Science

APRIL 21, 2023

Generative AI has the world on fire. That’s why at ODSC East, generative AI will be one of the hot topics to be discussed in our talks, workshops, tutorials, and more. Let’s take a look at what’s in store for you at ODSC East this May 9th-11th and what you’ll learn about generative AI when you attend.

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Pickl AI

AUGUST 1, 2023

Text mining is also known as text analytics or Natural Language Processing (NLP). It is the process of deriving valuable patterns, trends, and insights from unstructured textual data. It helps in discovering hidden patterns and organizing text data into meaningful clusters. within the text. Wrapping it up !!!

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Dataconomy

FEBRUARY 28, 2023

Artificial intelligence (AI) and machine learning (ML) have become increasingly important in today’s world due to the growth of digitization and the explosion of data available. With this growth comes the need for more advanced algorithms and models to process and analyze this data. How do LSTMs work? How do SOMs work?

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Mlearning.ai

MAY 23, 2023

Here are a few courses you can check out — AI for Medicine Specialization Natural Language Processing Specialization Generative Adversarial Networks (GANs) Specialization Educational Background A Bachelor’s degree in a quantitative field like computer science, mathematics, statistics, or engineering is often the minimum requirement.

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