Data Science Dojo

AUGUST 28, 2023

Large Language Model Ops also known as LLMOps isn’t just a buzzword; it’s the cornerstone of unleashing LLM potential. From data management to model fine-tuning, LLMOps ensures efficiency, scalability, and risk mitigation. LLMOps MLOps for Large Language Model What are the components of LLMOps? What is LLMOps?

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Data Science Dojo

APRIL 10, 2023

Data mining has become increasingly crucial in today’s digital age, as the amount of data generated continues to skyrocket. In fact, it’s estimated that by 2025, the world will generate 463 exabytes of data every day, which is equivalent to 212,765,957 DVDs per day!

Data Mining 195

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Data Science Dojo

JUNE 5, 2023

Bias and discrimination : AI systems can inadvertently perpetuate biases present in the data they are trained on, leading to discriminatory outcomes. Non-profit organizations need to be vigilant in ensuring that their AI models are fair and unbiased, particularly when making decisions that affect marginalized communities.

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Data Science Dojo

AUGUST 11, 2023

In contemporary times, data science has emerged as a substantial and progressively expanding domain that has an impact on virtually every sphere of human ingenuity: be it commerce, technology, healthcare, education, governance, and beyond. This piece will concentrate on the elemental constituents constituting data science.

Data Science 195

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Data Science Dojo

APRIL 22, 2024

Large language models (LLMs) are trained on massive textual data to generate creative and contextually relevant content. However, before we dig deeper into the topic, it’s essential to understand what LLM context windows are and their importance in the world of language models. What are LLM context windows?

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Data Science Dojo

MARCH 18, 2024

To truly understand their significance, it’s essential to recognize the practical challenges faced by current language models, such as ChatGPT, renowned for their ability to mimic human-like text across essays, dialogues, and even poetry. But what do they really mean, and why are they so crucial in the evolution of AI?

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Data Science Dojo

MARCH 29, 2024

Large Language Models are growing smarter, transforming how we interact with technology. Understanding RAG RAG is a framework that retrieves data from external sources and incorporates it into the LLM’s decision-making process. This allows the model to access real-time information and address knowledge gaps. Let’s dig in!

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Data Science Dojo

AUGUST 8, 2023

Prompt engineering involves creating and refining input text or instructions to guide AI models like ChatGPT and DALLE-2 in generating specific outputs. It is a crucial process to ensure that AI models produce desired results aligned with certain criteria or parameters.

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Data Science Dojo

MARCH 7, 2023

As data science evolves and grows, the demand for skilled data scientists is also rising. A data scientist’s role is to extract insights and knowledge from data and to use this information to inform decisions and drive business growth.

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AWS Machine Learning Blog

MAY 9, 2024

They establish and enforce best practices encompassing design, development, processes, and governance operations, thereby mitigating risks and making sure robust business, technical, and governance frameworks are consistently upheld. As maintained by Gartner , more than 80% of enterprises will have AI deployed by 2026.

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Dataconomy

SEPTEMBER 4, 2023

The modern corporate world is more data-driven, and companies are always looking for new methods to make use of the vast data at their disposal. Cloud analytics is the art and science of mining insights from data stored in cloud-based platforms. It helps organizations understand trends, patterns, and anomalies in their data.

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AWS Machine Learning Blog

FEBRUARY 27, 2024

Axfood has a structure with multiple decentralized data science teams with different areas of responsibility. Together with a central data platform team, the data science teams bring innovation and digital transformation through AI and ML solutions to the organization.

Machine Learning 112

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Towards AI

APRIL 9, 2024

What happened this week in AI by Louie For the past few weeks, we have been following an increased pace of voice and music AI model releases. In particular, Suno AI’s v3 music generation model was released two weeks ago and has gained momentum this week, with some referring to it as the “Chatgpt” moment of generative music.

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Dataconomy

MAY 16, 2023

Machine learning engineer vs data scientist: two distinct roles with overlapping expertise, each essential in unlocking the power of data-driven insights. As businesses strive to stay competitive and make data-driven decisions, the roles of machine learning engineers and data scientists have gained prominence.

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AWS Machine Learning Blog

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

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Towards AI

APRIL 11, 2024

After a much-needed break last week, we are back with exciting collaboration opportunities, some of our best articles written by AI experts worldwide, and fun discussions on our AI polls. What’s AI Weekly This week in What’s AI, I dive into Mistral’s Mixture of Experts model. Hope you enjoy the read! AI poll of the week!

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ODSC - Open Data Science

DECEMBER 7, 2023

ML Pros Deep-Dive into Machine Learning Techniques and MLOps Seth Juarez | Principal Program Manager, AI Platform | Microsoft Learn how new, innovative features in Azure machine learning can help you collaborate and streamline the management of thousands of models across teams. Check out a few of the highlights from each group below.

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Pickl AI

APRIL 26, 2024

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

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Becoming Human

APRIL 19, 2024

In the era of advancing Artificial Intelligence(AI) across diverse sectors, the significance of AI consulting services has grown exponentially, marking it as an increasingly crucial factor in navigating and leveraging the transformative potential of these technologies.

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IBM Journey to AI blog

FEBRUARY 13, 2024

Demystifying generative AI At the heart of Generative AI lie massive databases of texts, images, code and other data types. This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Automate tedious, repetitive tasks.

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ODSC - Open Data Science

MARCH 17, 2023

Several papers discussed the importance of segmenting time series into groups and modeling each group separately to enhance forecasting accuracy overall. But what does this look like in practice? At the end of the day, why not use an AutoML package (Automated Machine Learning) or an Auto-Forecasting tool and let it do the job for you?

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ODSC - Open Data Science

MARCH 11, 2024

Introducing the Topic Tracks for ODSC East 2024 — Highlighting Gen AI, LLMs, and Responsible AI ODSC East 2024 , coming up this April 23rd to 25th, is fast approaching and this year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners.

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AWS Machine Learning Blog

OCTOBER 5, 2023

Processing unstructured data has become easier with the advancements in natural language processing (NLP) and user-friendly AI/ML services like Amazon Textract , Amazon Transcribe , and Amazon Comprehend. In this post, we explain how to build and optimize a custom classification model using Amazon Comprehend.

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Heartbeat

MARCH 21, 2024

Photo by Abbas Tehrani on Unsplash Hyperparameter tuning, the process of systematically searching for the best combination of hyperparameters that optimize a model's performance, is critical in machine learning model development. It builds a probability model of the objective function (i.e.,

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IBM Journey to AI blog

APRIL 19, 2024

Earlier posts in this series addressed the challenges of the energy transition with holistic grid asset management, the integrated asset management platform and data exchange, and merging traditional top-down and bottom-up planning processes. Robots and drones perform inspections by using AI-based visual recognition techniques.

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Snorkel AI

MARCH 5, 2024

Representation models significantly impact the performance of AI applications. Standard representation models often fell short on our clients’ specialized tasks, leading to poor application performance. While we use many tools to sharpen their applications, representation model fine-tuning sometimes prove the most effective.

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Snorkel AI

MARCH 5, 2024

Representation models significantly impact the performance of AI applications. Standard representation models often fell short on our clients’ specialized tasks, leading to poor application performance. While we use many tools to sharpen their applications, representation model fine-tuning sometimes prove the most effective.

Data Quality 52

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Dataconomy

MARCH 13, 2023

In this article, we will explore the essential steps involved in creating AI and the tools and techniques required to build robust and reliable AI systems. Key concepts of AI The following are some of the key concepts of AI: Data:  AI requires vast amounts of data to learn and improve its performance over time.

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ODSC - Open Data Science

FEBRUARY 8, 2024

AI and data science are advancing at a lightning-fast pace with new skills and applications popping up left and right. At ODSC East this April 23–25 you’ll find hands-on instruction, featuring real-world use cases and practical examples, that will enable you to put your new skills to good use immediately.

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Hacker News

NOVEMBER 15, 2023

Like a good judge, large language models ( LLMs ) can respond to a wide variety of human queries. But to deliver authoritative answers that cite sources, the model needs an assistant to do some research. What’s more, the technique can help models clear up ambiguity in a user query. That builds trust.

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Dataconomy

MAY 2, 2023

In the context of a business, machine learning engineers are responsible for creating bots that are utilized for chat purposes or data collection. They also develop algorithms that are utilized to sort through relevant data, and scale predictive models to best suit the amount of data pertinent to the business.

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Pickl AI

MARCH 26, 2024

Nevertheless, its applications across classification, regression, and anomaly detection tasks highlight its importance in modern data analytics methodologies. Its ability to make decisions based on the proximity of data points makes it particularly valuable in real-world applications. What are K Nearest Neighbors in Machine Learning?

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Dataconomy

SEPTEMBER 22, 2023

Data archiving is the systematic process of securely storing and preserving electronic data, including documents, images, videos, and other digital content, for long-term retention and easy retrieval. While we were talking about a data-driven future about 10 years ago, today we are perhaps laying the foundations of this future.

Clustering 185

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Pickl AI

MAY 16, 2024

Understanding data is key! Descriptive statistics summarize your data (averages, spreads), while inferential statistics use samples to draw conclusions about larger populations. Descriptive statistics paint a picture of your data, while inferential statistics make predictions based on that picture.

Data Science 52

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Becoming Human

MAY 11, 2023

Machine learning operations, or MLOps, are the set of practices and tools that aim to streamline and automate the machine learning lifecycle. It covers everything from data preparation and model training to deployment, monitoring, and maintenance. What are MLOps Projects?

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Dataconomy

JUNE 29, 2023

These libraries, with their rich functionalities and comprehensive toolsets, have become the backbone of data science and machine learning practices. These packages offer a wide range of functionalities, algorithms, and tools that simplify the process of creating and training machine learning models.

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The MLOps Blog

FEBRUARY 22, 2024

TL;DR: In many machine-learning projects, the model has to frequently be retrained to adapt to changing data or to personalize it. Continual learning is a set of approaches to train machine learning models incrementally, using data samples only once as they arrive. These problems keep many ML practitioners awake at night.

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