Data Science Dojo

MARCH 18, 2024

The model might offer generic advice based on its training data but lacks depth or specificity – and, most importantly, accuracy. Incorporating a retrieval step allows these models to pull in data from external sources in real-time. Its essence is in the name: Retrieval, Augmentation, and Generation.

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Machine Learning Research at Apple

NOVEMBER 7, 2023

Geospatial data comprises acquired and derived heterogeneous data modalities that we transform to semantically meaningful, image-like tensors to address the challenges of representation, alignment, and fusion of multimodal data.

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Machine Learning Research at Apple

SEPTEMBER 11, 2023

We propose a Dataset Reinforcement strategy based on data augmentation and knowledge distillation. Our generic strategy is designed based on extensive analysis across CNN- and transformer-based models and performing large-scale study of distillation with state-of-the-art models with various data augmentations.

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Data Science Dojo

MARCH 1, 2024

LLamaIndex offers a distinctive approach, focusing on data indexing and enhancing the performance of LLMs, while LangChain provides a more general-purpose framework, flexible enough to pave the way for a broad spectrum of LLM-powered applications. This demonstrates their significant impact on the technology landscape today.

ETL 307

ETL Artificial Intelligence Artificial Intelligence Data Quality 307

Analytics Vidhya

SEPTEMBER 28, 2023

Introduction The rapid advancements in Large Language Models (LLMs) have transformed the landscape of AI, offering unparalleled capabilities in natural language understanding and generation. LLMs have ushered in a new language understanding and generation era, with OpenAI’s GPT models at the forefront.

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Data Science Dojo

DECEMBER 8, 2023

Deep Learning : LLMs are powered by deep learning, a subfield of machine learning that utilizes artificial neural networks to learn from data. Transformer : The transformer architecture is a cornerstone of modern LLMs. This includes: Bias mitigation : Identify and mitigate biases in the LLM’s training data and outputs.

Natural Language Processing 195

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Data Science Dojo

NOVEMBER 18, 2023

and other large language models (LLMs) have transformed natural language processing (NLP). Checkout our in-person Large Language Model Bootcamp. Step 1: Understand the Real-World Applications Building a large language model application on custom data can help to improve your business in a number of ways.

Deep Learning 312

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Data Science Dojo

APRIL 18, 2024

Enhanced Personalization : AI analyzes customer data, such as purchase history and browsing behaviors, to tailor the shopping experience. These applications demonstrate how AI technology is not just augmenting but fundamentally transforming e-commerce operations and customer interactions.

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Data Science Dojo

FEBRUARY 8, 2024

Since NLP techniques operate on textual data, which inherently cannot be directly integrated into machine learning models designed to process numerical inputs, a fundamental question arose: how can we convert text into a format compatible with these models?

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Data Science Dojo

APRIL 18, 2024

Large language models are powerful AI-powered language tools trained on massive amounts of text data, like books, articles, and even code. By analyzing this data, LLMs become experts at recognizing patterns and relationships between words. Speaking and listening are the direct by-products of human reliance on language.

Database 195

Database Natural Language Processing Predictive Analytics AI 195

Data Science Dojo

MARCH 20, 2024

Whether it’s adapting to dynamic information, customizing linguistic styles, managing data requirements, or ensuring domain-specific performance, each approach has its unique advantages. By design, RAG leverages external data sources to fetch the latest information, making it inherently adaptable to changes.

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AI AI Database Artificial Intelligence 195

Data Science Dojo

OCTOBER 10, 2023

Little did they know that a casual conversation during a networking session would lead to a collaborative project that transformed their career. As AI continues to transform our world, it is more important than ever to learn about and adapt to this new technology. The speaker is Andrew Madson, a data analytics leader and educator.

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AI AI Artificial Intelligence Artificial Intelligence 243

Data Science Connect

JULY 22, 2023

Data scientists and journalists are closely monitoring this development , anticipating its potential impact on the future of news media and journalistic practices. As part of this partnership, AP aims to explore how Generative AI can augment journalistic efforts, streamline content creation, and provide deeper insights into complex stories.

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Data Science Dojo

MARCH 10, 2024

AI chatbots are transforming the digital world with increased efficiency, personalized interaction, and useful data insights. While Open AI’s GPT and Google’s Gemini are already transforming modern business interactions, Anthropic AI recently launched its newest addition, Claude 3. What is Claude 3?

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Data Science Dojo

MARCH 21, 2023

Imbalanced data is a common problem in machine learning, where one class has a significantly higher number of observations than the other. Understanding imbalanced data Imbalanced data refers to datasets where the distribution of class labels is not equal, with one class having a significantly higher number of observations than the other.

Machine Learning 195

Machine Learning Machine Learning Data Science Algorithm 195

Data Science Dojo

OCTOBER 17, 2023

Blockchain for secure payments, augmented reality for fun learning sessions, on-demand apps to deliver drugs home – there’s so much you can achieve with a slew of new technology on the mobile application development front! The mobile app development industry is in a state of continuous change. billion U.S. billion U.S. Dollars by 2026.

Machine Learning 195

Machine Learning Machine Learning Predictive Analytics Artificial Intelligence 195

Data Science Dojo

JUNE 5, 2023

Artificial intelligence (AI) is rapidly transforming the world, and non-profit organizations are no exception. Bias and discrimination : AI systems can inadvertently perpetuate biases present in the data they are trained on, leading to discriminatory outcomes.

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AI AI Data Governance Artificial Intelligence 332

Dataconomy

FEBRUARY 5, 2024

At its WWDC 2023 conference, Apple revealed the Vision Pro, the long-awaited augmented reality (AR) headset that has many asking, “What does Apple Vision Pro do?” ” – It transforms how we interact with digital content through immersive augmented reality experiences. “What does Apple Vision Pro do?”

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AI AI 195

Heartbeat

MARCH 5, 2024

The brains of this technology are complex models that can comprehend and interpret visual data. However, the caliber of the data these models are trained on significantly impacts how well they work. It can be used for human-computer interaction, sports analysis, and augmented reality. What Is Image Augmentation?

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Deep Learning Deep Learning Machine Learning Machine Learning 52

Depends on the Definition

AUGUST 22, 2020

In this article we sample from pre-trained transformers to augment small, labeled text datasets for named entity recognition.

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Dataconomy

MARCH 27, 2024

Artificial Intelligence’s transformative power to reshape businesses becomes more evident as the world evolves. AI has transformed many industries, from automating repetitive work to enabling data-driven decisions. AI analyses vast amounts of data to find patterns and make predictions using that data.

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AI AI Algorithm Machine Learning 193

Chatbots Life

APRIL 1, 2024

To lighten up concerns and emphasize its collaborative nature, industry leaders, including giants like IBM, prefer terms like “augmented intelligence” or “cognitive” over “artificial intelligence.” However, the reliability of AI hinges on the quantity and quality of data.

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AI AI Internet of Things Artificial Intelligence 105

IBM Journey to AI blog

MARCH 4, 2024

We have all been witnessing the transformative power of generative artificial intelligence (AI), with the promise to reshape all aspects of human society and commerce while companies simultaneously grapple with acute business imperatives. This requires a holistic enterprise transformation. times higher ROI.

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AI AI Artificial Intelligence Artificial Intelligence 108

IBM Journey to AI blog

MAY 14, 2024

CFOs are the stewards of investment capital, orchestrating a movement with transformative technology and innovation to evolve businesses, accelerate revenue streams and drive meaningful outcomes. CFOs are not expected to be data scientists, but they are expected to understand how the enablement of this technology can drive business value.

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AI AI Data Scientist Data Governance 76

Snorkel AI

MARCH 5, 2024

The discussion centered on the importance of data quality and the role of data augmentation techniques in improving the robustness and effectiveness of representation models. Representation models are a class of machine learning models designed to capture and encode meaningful features from raw data.

Data Quality 52

Data Quality Machine Learning Machine Learning Clustering 52

Snorkel AI

MARCH 5, 2024

The discussion centered on the importance of data quality and the role of data augmentation techniques in improving the robustness and effectiveness of representation models. Representation models are a class of machine learning models designed to capture and encode meaningful features from raw data.

Data Quality 52

Data Quality Machine Learning Machine Learning Clustering 52

Dataconomy

JANUARY 10, 2024

Don’t describe your app experience as augmented reality (AR), virtual reality (VR), extended reality (XR), or mixed reality (MR). Computer vision, for example, interprets data from cameras and sensors, capturing details about the environment, including the positioning and movement of objects. Apple What is spatial computing?

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AWS Machine Learning Blog

MARCH 4, 2024

Looking back to 2021, when Anthropic first started building on AWS, no one could have envisioned how transformative the Claude family of models would be. Amazon Bedrock is the best place to build and scale generative AI applications with large language models (LLM) and other foundation models (FMs). with higher levels of intelligence.

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AWS AI AI Machine Learning 135

Smart Data Collective

JULY 9, 2021

Fortunately, new advances in big data technology are helping companies get better qualified workers. Data analytics technology is very important in assessing the performance of staffing services. Companies can use data analytics to improve their hiring processes. What Are the Benefits of Data Analytics in Staffing?

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Analytics Analytics Big Data Big Data 128

AWS Machine Learning Blog

FEBRUARY 13, 2024

To keep pace with new products, a new model was produced each month using the latest training data. To keep pace with new products, a new model was produced each month using the latest training data. Data augmentation for model training and manually managing the complete end-to-end training cycle was adding significant overhead.

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Towards AI

FEBRUARY 3, 2024

By Author In this post, you’ll learn about creating synthetic data, evaluating RAG pipelines using the Ragas tool, and understanding how various retrieval methods shape your RAG evaluation metrics. Last Updated on February 3, 2024 by Editorial Team Author(s): Harpreet Sahota Originally published on Towards AI. pip install -U tqdm!pip

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Snorkel AI

APRIL 24, 2024

Snorkel AI is excited to announce several new features released in Snorkel Flow, the latest version of our programmatic AI data development platform. This new addition gives admins more control over who has access to what data and who can upload data for AI development. This feature unlocks faster, smarter document processing.

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Azure Machine Learning Machine Learning AI 64

Towards AI

MARCH 11, 2024

Reduce LLM latency and cost by over 95% using OpenAI, LiteLLM, Qdrant, and Sentence Transformers!Image The problem is even more pronounced in Retrieval Augmented Generation (RAG) agents, where we must make multiple calls to the LLM before returning an answer to the user. Join thousands of data leaders on the AI newsletter.

Database 80

Database AI AI SQL 80

AWS Machine Learning Blog

DECEMBER 5, 2023

In their implementation of generative AI technology, enterprises have real concerns about data exposure and ownership of confidential information that may be sent to LLMs. These concerns of privacy and data protection can slow down or limit the usage of LLMs in organizations.

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Dataconomy

AUGUST 24, 2023

In the modern era of data-driven decision-making, business intelligence projects have become the cornerstone for organizations aiming to harness their data for strategic insights. There are perhaps thousands of different approaches to the analysis of data, each with the potential to create new business intelligence projects.

Business Intelligence 172

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IBM Journey to AI blog

JANUARY 19, 2024

The future of customer experience (CX) is more : more data, more technology, more surprising and delighting. One of the most important reasons why organizations are increasingly embracing digital transformation is to revolutionize how they serve the customer. Organizations can better personalize at scale using data.

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DagsHub

MARCH 5, 2024

Preprocessing your data properly Selecting the right model Performing the right fine-tuning and deployment steps. Computer vision solutions are applied in various fields like healthcare, autonomous vehicles, surveillance, and augmented reality, with each project tailored to meet specific needs and challenges. That's not all.

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