Data Science Dojo

NOVEMBER 5, 2024

The learning program is typically designed for working professionals who want to learn about the advancing technological landscape of language models and learn to apply it to their work. It covers a range of topics including generative AI, LLM basics, natural language processing, vector databases, prompt engineering, and much more.

Data Science 195

Data Science Azure Natural Language Processing Database 195

Dataconomy

MARCH 21, 2025

Key components include machine learning, which allows systems to learn from data, and natural language processing, enabling machines to understand and respond to human language. Reasoning: It selects the appropriate algorithms to derive desired outcomes.

Artificial Intelligence 91

Artificial Intelligence Artificial Intelligence Natural Language Processing AI 91

AWS Machine Learning Blog

MARCH 21, 2025

Research papers and engineering documents often contain a wealth of information in the form of mathematical formulas, charts, and graphs. Navigating these unstructured documents to find relevant information can be a tedious and time-consuming task, especially when dealing with large volumes of data.

AWS 110

AWS AI AI Data Scientist 110

Data Science Dojo

JUNE 10, 2024

Here are some key ways data scientists are leveraging AI tools and technologies: 6 Ways Data Scientists are Leveraging Large Language Models with Examples Advanced Machine Learning Algorithms: Data scientists are utilizing more advanced machine learning algorithms to derive valuable insights from complex and large datasets.

Data Scientist 195

Data Scientist Natural Language Processing Machine Learning Machine Learning 195

Data Science Dojo

OCTOBER 24, 2024

For example, if you’re building a chatbot, you can combine modules for natural language processing (NLP), data retrieval, and user interaction. RAG Workflows RAG is a technique that helps LLMs fetch relevant information from external databases or documents to ground their responses in reality.

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Database Natural Language Processing AI AI 443

IBM Data Science in Practice

JANUARY 2, 2025

Healthcare system faces persistent challenges due to its heavy reliance on manual processes and fragmented communication. Providers struggle with the administrative burden of documentation and coding, which consumes 2531% of total healthcare spending and detracts from their ability to deliver quality care.

AI 100

AI AI Machine Learning Machine Learning 100

Data Science Dojo

DECEMBER 6, 2023

GPT-4 with Vision combines natural language processing capabilities with computer vision. It could be a game-changer in digitizing written or printed documents by converting images of text into a digital format. Object Detection GPT-4V has superior object detection capabilities.

Natural Language Processing 259

Natural Language Processing AI AI Data Analysis 259

Data Science Dojo

AUGUST 17, 2023

Text classification, text summarization TF-IDF embeddings Represent text as a bag of words, where each word is assigned a weight based on its frequency and inverse document frequency. TF-IDF TF-IDF (term frequency-inverse document frequency) is a statistical measure that is used to quantify the importance of a word in a document.

Machine Learning 195

Machine Learning Machine Learning Natural Language Processing Algorithm 195

AWS Machine Learning Blog

NOVEMBER 15, 2024

Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles. As Principal grew, its internal support knowledge base considerably expanded.

AWS 114

AWS AI AI Machine Learning 114

Dataconomy

SEPTEMBER 23, 2024

Merlin is a comprehensive AI-powered assistant designed to enhance productivity by integrating advanced natural language processing (NLP) models like GPT-4 and Claude-3 into everyday tasks. While the process was smooth, we found that the output wasn’t entirely accurate based on our input.

AI 194

AI AI Natural Language Processing Machine Learning 194

DrivenData Labs

MAY 18, 2023

I work on machine learning for natural language processing, and I’m particularly interested in few-shot learning, lifelong learning, and societal and health applications such as abuse detection, misinformation, mental ill-health detection, and language assessment. Data science is a broad field.

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Natural Language Processing Machine Learning Machine Learning Data Science 211

Data Science Dojo

SEPTEMBER 11, 2023

Language models, a recent advanced technology that is blooming more and more as the days go by. These complex algorithms are the backbone upon which our modern technological advancements rest and which are doing wonders for natural language communication. These are more than just names; they are the cutting edge of NLP.

Natural Language Processing 195

Natural Language Processing Supervised Learning Algorithm Deep Learning 195

Flipboard

JANUARY 6, 2025

The platform helped the agency digitize and process forms, pictures, and other documents. Using the platform, which uses Amazon Textract , AWS Fargate , and other services, the agency gained a four-fold productivity improvement by streamlining and automating labor-intensive manual processes.

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AWS Machine Learning Blog

NOVEMBER 25, 2024

You can try out the models with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. To learn more, refer to the API documentation. Clean up After you’re done running the notebook, delete all resources that you created in the process.

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AWS ML ML Machine Learning 98

O'Reilly Media

NOVEMBER 19, 2024

See the primary sources “ REALM: Retrieval-Augmented Language Model Pre-Training ” by Kelvin Guu, et al., Here’s a simple rough sketch of RAG: Start with a collection of documents about a domain. Split each document into chunks. One more embellishment is to use a graph neural network (GNN) trained on the documents.

Database 125

Database AI AI Natural Language Processing 125

Data Science Dojo

AUGUST 3, 2023

It is fast, scalable, and supports a variety of machine learning algorithms. They are used in a variety of AI applications, such as image search, natural language processing, and recommender systems. Milvus is used by companies such as Alibaba, Baidu, and Tencent.

Database 195

Database Natural Language Processing Machine Learning Machine Learning 195

AWS Machine Learning Blog

DECEMBER 6, 2023

Such data often lacks the specialized knowledge contained in internal documents available in modern businesses, which is typically needed to get accurate answers in domains such as pharmaceutical research, financial investigation, and customer support. For example, imagine that you are planning next year’s strategy of an investment company.

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SQL AWS Analytics Analytics 120

Flipboard

MARCH 1, 2023

AI startups often focus on developing cutting-edge technology and algorithms that analyze and process large amounts of data quickly and accurately. The new age focus uses natural language processing to help businesses create more effective marketing messages. Lumin8ai.com Luminate.ai

Natural Language Processing 170

Natural Language Processing Machine Learning Machine Learning AI 170

Data Science Dojo

DECEMBER 6, 2023

GPT-4 with Vision combines natural language processing capabilities with computer vision. It could be a game-changer in digitizing written or printed documents by converting images of text into a digital format. Object Detection GPT-4V has superior object detection capabilities.

Natural Language Processing 195

Natural Language Processing AI AI Data Analysis 195

Data Science Dojo

DECEMBER 6, 2023

GPT-4 with Vision combines natural language processing capabilities with computer vision. It could be a game-changer in digitizing written or printed documents by converting images of text into a digital format. Object Detection: GPT-4V has superior object detection capabilities.

Natural Language Processing 195

Natural Language Processing AI AI Data Analysis 195

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. Lastly, data archiving allows organizations to preserve historical records and documents for future reference.

Clustering 185

Clustering Algorithm Data Classification Machine Learning 185

AWS Machine Learning Blog

FEBRUARY 6, 2025

A user asking a scientific question aims to translate scientific intent, such as I want to find patients with a diagnosis of diabetes and a subsequent metformin fill, into algorithms that capture these variables in real-world data. An in-context learning technique that includes semantically relevant solved questions and answers in the prompt.

Natural Language Processing 70

Natural Language Processing AI AI Machine Learning 70

Dataconomy

FEBRUARY 26, 2024

Their architecture is a beacon of parallel processing capability, enabling the execution of thousands of tasks simultaneously. This attribute is particularly beneficial for algorithms that thrive on parallelization, effectively accelerating tasks that range from complex simulations to deep learning model training.

Natural Language Processing 227

Natural Language Processing ML ML Deep Learning 227

Towards AI

DECEMBER 28, 2023

Black box algorithms such as xgboost emerged as the preferred solution for a majority of classification and regression problems. Later, Python gained momentum and surpassed all programming languages, including Java, in popularity around 2018–19. In 2023, we witnessed the substantial transformation of AI, marking it as the ‘year of AI.’

Natural Language Processing 122

Natural Language Processing Deep Learning Deep Learning Python 122

Dataconomy

JULY 4, 2023

Examples of such tools include intelligent business process management, decision management, and business rules management AI and machine learning tools that enhance the capabilities of automation. ML algorithms enable systems to identify patterns, make predictions, and take autonomous actions.

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Natural Language Processing Big Data Big Data Machine Learning 192

Smart Data Collective

MARCH 23, 2022

E-signatures, or the digitized or scanned version of handwritten signatures, improve business processes, allowing fast signing and approval of documents. They are used to verify digital documents and messages. Certifying E-Signatures: Online e-signature tools certify legal documents, making digital signatures more secure.

AI 134

AI AI Artificial Intelligence Artificial Intelligence 134

Dataconomy

JULY 26, 2023

Natural Language Processing (NLP) is an exciting technology that enables computers to understand and analyze human language. By using NLP tools, businesses can save time and effort in drafting and reviewing contracts, leading to more efficient processes. But how about NLP for contracts?

Natural Language Processing 171

Natural Language Processing Artificial Intelligence Artificial Intelligence AI 171

AWS Machine Learning Blog

NOVEMBER 15, 2024

This significant improvement showcases how the fine-tuning process can equip these powerful multimodal AI systems with specialized skills for excelling at understanding and answering natural language questions about complex, document-based visual information. For a detailed walkthrough on fine-tuning the Meta Llama 3.2

ML 100

ML ML Python AWS 100

Dataconomy

JUNE 5, 2023

As higher-quality images need more processing power, it is unclear if Midjourney is near to achieving this objective; yet, this is certainly one of the most anticipated additions of Midjourney V6. Smarter natural language processing Natural language processing is another area in which Midjourney v6 will shine.

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Artificial Intelligence Artificial Intelligence Natural Language Processing AI 232

AWS Machine Learning Blog

NOVEMBER 15, 2024

It provides a common framework for assessing the performance of natural language processing (NLP)-based retrieval models, making it straightforward to compare different approaches. Recall@5 is a specific metric used in information retrieval evaluation, including in the BEIR benchmark. jpg") or doc.endswith(".png"))

AWS 100

AWS Computer Science Computer Science Database 100

Towards AI

JULY 20, 2023

Natural Language Processing Getting desirable data out of published reports and clinical trials and into systematic literature reviews (SLRs) — a process known as data extraction — is just one of a series of incredibly time-consuming, repetitive, and potentially error-prone steps involved in creating SLRs and meta-analyses.

Natural Language Processing 98

Natural Language Processing ML ML Support Vector Machines 98

Data Science Dojo

MAY 10, 2024

Hence, acting as a translator it converts human language into a machine-readable form. These embeddings when particularly used for natural language processing (NLP) tasks are also referred to as LLM embeddings. Their impact on ML tasks has made them a cornerstone of AI advancements.

Supervised Learning 259

Supervised Learning Clustering ML ML 259

AWS Machine Learning Blog

DECEMBER 5, 2024

Automated Reasoning checks help prevent factual errors from hallucinations using sound mathematical, logic-based algorithmic verification and reasoning processes to verify the information generated by a model, so outputs align with provided facts and arent based on hallucinated or inconsistent data.

AI 101

AI AI AWS Natural Language Processing 101

AWS Machine Learning Blog

FEBRUARY 25, 2025

These included document translations, inquiries about IDIADAs internal services, file uploads, and other specialized requests. This approach allows for tailored responses and processes for different types of user needs, whether its a simple question, a document translation, or a complex inquiry about IDIADAs services.

Algorithm 70

Algorithm Machine Learning Machine Learning K-nearest Neighbors 70

AWS Machine Learning Blog

MAY 24, 2023

Intelligent document processing (IDP) is a technology that automates the processing of high volumes of unstructured data, including text, images, and videos. Natural language processing (NLP) is one of the recent developments in IDP that has improved accuracy and user experience.

AI 84

AI AI AWS ML 84

Dataconomy

FEBRUARY 6, 2024

This popularity is primarily due to the spread of big data and advancements in algorithms. Going back from the times when AI was merely associated with futuristic visions to today’s reality, where ML algorithms seamlessly navigate our daily lives. These technologies have undergone a profound evolution. billion by 2032.

ML 121

ML ML Machine Learning Machine Learning 121

Towards AI

OCTOBER 17, 2024

Practical examples demonstrate the effectiveness of this approach in transforming static documents into interactive, query-responsive tools, showcasing potential applications in various domains such as education and business. Practical examples and case studies illustrate the effectiveness of genetic algorithms in solving complex problems.

Machine Learning 111

Machine Learning Machine Learning Natural Language Processing Algorithm 111