DrivenData Labs

APRIL 10, 2024

The Challenge ¶ Motivation ¶ Much of the world's healthcare data is stored in free-text documents, usually clinical notes taken by doctors. This unstructured data can be challenging to analyze and extract meaningful insights from. What motivated you to compete in this challenge?

Computer Science 264

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Pickl AI

JULY 14, 2023

Artificial Intelligence has been able to gain immense momentum today and is transforming every industry in the world. The following blog will emphasise on what the future of AI looks like in the next 5 years. Turing introduced the idea of machine intelligence and proposed the famous Turing Test as a measure of AI.

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Heartbeat

OCTOBER 25, 2023

Empowering Data Scientists and Machine Learning Engineers in Advancing Biological Research Image from European Bioinformatics Institute Introduction: In biological research, the fusion of biology, computer science, and statistics has given birth to an exciting field called bioinformatics.

Machine Learning 52

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Pickl AI

MAY 29, 2024

Summary: Data Science is becoming a popular career choice. Mastering programming, statistics, Machine Learning, and communication is vital for Data Scientists. A typical Data Science syllabus covers mathematics, programming, Machine Learning, data mining, big data technologies, and visualisation.

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AWS Machine Learning Blog

FEBRUARY 6, 2024

Traditional manual processing of adverse events is made challenging by the increasing amount of health data and costs. In this solution, we fine-tune a variety of models on Hugging Face that were pre-trained on medical data and use the BioBERT model, which was pre-trained on the Pubmed dataset and performs the best out of those tried.

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Dataconomy

JULY 18, 2023

In the vast and ever-evolving landscape of artificial intelligence, there are groundbreaking innovations that reshape our world for the better, empowering us with transformative capabilities. This data pairing will be used for juxtaposition. Any intelligent being should have opinions. Are you looking for WormGPT alternatives?

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Pickl AI

AUGUST 29, 2023

Data Scientists are highly in demand across different industries for making use of the large volumes of data for analysisng and interpretation and enabling effective decision making. One of the most effective programming languages used by Data Scientists is R, that helps them to conduct data analysis and make future predictions.

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Data Science Dojo

AUGUST 31, 2023

Tom Hanks, and Meryl Streep among many others) launched a strike in part to call for tightening regulations on the use of artificial intelligence in creative projects. This came as the world witnessed growing concern regarding the rapid advancements of artificial intelligence, which in particular is being led by Large Language Models (LLMs).

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Towards AI

MAY 18, 2023

Strategies for programmatic and qualitative evaluation of chatbots built with GPT and LlamaIndex Why I care about evaluating chatbots As a part of Buildspace Nights and Weekends, I’m currently working on exploring ways to reliably improve the performance of data-supported chatbots. In my case, that is a large set of blog posts and articles.

Machine Learning 78

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Towards AI

OCTOBER 5, 2023

But in the rush to crown ChatGPT the next artificial general intelligence (AGI), many have overlooked its very real limitations. ChatGPT’s Strengths: Where It Shines There’s no denying that ChatGPT shows a mastery of language and reasoning that sometimes eerily emulates human intelligence. Its training data ended in 2021.

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Dataconomy

AUGUST 1, 2023

However, in recent years, generative artificial intelligence (AI) has emerged as a transformative technology that has the potential to revolutionize drug discovery. It is a subfield of artificial intelligence that focuses on creating new data instances that resemble existing data. What is generative AI ?

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DrivenData Labs

MARCH 30, 2023

Privacy-enhancing technologies (PETs) have the potential to unlock more trustworthy innovation in data analysis and machine learning. Federated learning is one such technology that enables organizations to analyze sensitive data while providing improved privacy protections.

Machine Learning 162

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Mlearning.ai

FEBRUARY 26, 2024

Image created by author using Dalle-3 via Bing Chat Ultimate guide to optimise RAG pipeline from zero to advance- Solving the core challenges of Retrieval-Augmented Generation In my last blog, I covered RAG extensively and how it’s implemented with LlamaIndex. This paper encompasses most recent optimization methods.

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Pickl AI

FEBRUARY 21, 2023

Business organisations worldwide depend on massive volumes of data that require Data Scientists and analysts to interpret to make efficient decisions. Understanding the appropriate ways to use data remains critical to success in finance, education and commerce. What is Data Mining and how is it related to Data Science ?

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Dataconomy

MAY 8, 2023

According to reports , a lucrative decade for the artificial intelligence (AI) industry is on the way, and AI drawing generators from texts is one of the starters of the trend. You might think of AI drawing as a generative art where the artist combines data and algorithms to create something completely new.

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Alation

MAY 27, 2021

For data-driven enterprises, data governance is no longer an option; it’s a necessity. Businesses are growing more dependent on data governance to manage data policies, compliance, and quality. For these reasons, a business’ data governance approach is essential. Data Democratization.

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Google Research AI blog

JULY 23, 2023

We build ML systems to solve deep scientific and engineering challenges in areas of language, music, visual processing, algorithm development, and more. See Google DeepMind’s blog to learn about their technical participation at ICML 2023. Visit the @GoogleAI Twitter account to find out about Google booth activities (e.g.,

Machine Learning 77

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Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” Why do we have data?

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AWS Machine Learning Blog

APRIL 17, 2023

“Instead of focusing on the code, companies should focus on developing systematic engineering practices for improving data in ways that are reliable, efficient, and systematic. This can be a tedious task involving data collection, discovery, profiling, cleansing, structuring, transforming, enriching, validating, and securely storing the data.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

Although this stunning progress in artificial intelligence remains remarkable, the financial costs and energy consumption required to train these models has emerged as a critical bottleneck due to the need for specialized hardware like GPUs. We train all models with a batch size of 256 for a single pass through the data (one epoch).

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Mlearning.ai

MAY 23, 2023

Hey guys, in this blog we will see some of the most asked Data Science Interview Questions by interviewers in [year]. Data science has become an integral part of many industries, and as a result, the demand for skilled data scientists is soaring. What is Data Science?

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Pickl AI

JULY 12, 2023

It can solve complex mathematical equations, generate step-by-step solutions, provide scientific data, and offer insights on various subjects. Students can utilize Wolfram Alpha to tackle challenging math problems, explore scientific concepts, and access a wealth of information for their projects.

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Google Research AI blog

JANUARY 18, 2023

Posted by Jeff Dean, Senior Fellow and SVP of Google Research, on behalf of the Google Research community Today we kick off a series of blog posts about exciting new developments from Google Research. We want to solve complex mathematical or scientific problems. Diagnose complex diseases, or understand the physical world.

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Pickl AI

MAY 15, 2023

What Is Data Processing? Data Processing is the process of transforming and manipulating raw data to meaningful insights for effective use in business purposes. Data Processing is done in both manual and automated manner, depending on the type of complexity in the data and the required outcomes.

Machine Learning 52

Machine Learning Machine Learning Data Analysis Data Analysis 52

PyImageSearch

NOVEMBER 20, 2023

Ignoring hidden causes in data can mean death for your model Counterfactual thinking is a must Randomization, Natural Experiments, and Conditioning are the tools of the trade Right. How do we use them with our data, and why do we need to care? This method relies on a very interesting strategy known as Exploit and Explore.

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Heartbeat

JUNE 19, 2023

Photo by GR Stocks on Unsplash GANs are more than just a breakthrough in the field of deep learning; they represent a quantum leap forward in the capabilities of artificial intelligence. GANs have the power to create hyper-realistic images, videos, and audio that can often fool even the most intelligent human observers. What is GAN ?

Deep Learning 59

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Hacker News

MAY 3, 2023

In the grand tapestry of modern artificial intelligence, how do we ensure that the threads we weave when designing powerful AI systems align with the intricate patterns of human values? Effective methods allowing for better control, or steerability , of large-scale AI systems are currently in extremely high demand in the world of AI research.

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ODSC - Open Data Science

FEBRUARY 14, 2023

Trained with 570 GB of data from books and all the written text on the internet, ChatGPT is an impressive example of the training that goes into the creation of conversational AI. For example, Seek AI , a developer of AI-powered intelligent data solutions, announced it has raised $7.5

Database 124

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ML Review

MARCH 5, 2019

2) Make progress towards creating truly intelligent machines. In our previous vision blog , we playfully, and accurately, described the volume of global AI research publications as a firehose — of incredibly high volume, but a medium which prevents one from quenching their thirst properly. 1) Model and distil knowledge within AI. (2)

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AWS Machine Learning Blog

APRIL 29, 2024

This is a guest post co-authored with Ville Tuulos (Co-founder and CEO) and Eddie Mattia (Data Scientist) of Outerbounds. For AWS and Outerbounds customers, the goal is to build a differentiated machine learning and artificial intelligence (ML/AI) system and reliably improve it over time. The following figure illustrates this workflow.

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Heartbeat

AUGUST 2, 2023

Introduction to LLMs LLM in the sphere of AI Large language models (often abbreviated as LLMs) refer to a type of artificial intelligence (AI) model typically based on deep learning architectures known as transformers. They are usually trained on a massive amount of text data. Collect the data you want the model to train on.

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Google Research AI blog

NOVEMBER 3, 2022

Here, we propose an alternative approach to RL research, where prior computational work, such as learned models, policies, logged data, etc., As shown below for the PVRL setting on Atari games, we find that the QDagger RRL method outperforms prior approaches. While a policy directly maps a given environment state (e.g.,

Algorithm 52

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AWS Machine Learning Blog

MARCH 28, 2024

This streamlined approach, facilitated by the contextual compression retriever, greatly enhances RAG application efficiency by providing a method to extract and utilize only what’s essential from a mass of information. Data preparation In this post, we use several years of Amazon’s Letters to Shareholders as a text corpus to perform QnA on.

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AWS Machine Learning Blog

FEBRUARY 28, 2023

In today’s highly competitive market, performing data analytics using machine learning (ML) models has become a necessity for organizations. It enables them to unlock the value of their data, identify trends, patterns, and predictions, and differentiate themselves from their competitors.

ML 69

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AWS Machine Learning Blog

NOVEMBER 21, 2023

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from any document or image. We discuss the benefits of using Layout for a document Q&A use case with LLMs using a common method known as Retrieval Augmented Generation (RAG), and for entity extraction use-case.

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Heartbeat

FEBRUARY 8, 2023

Natural Language Processing (NLP) plays a crucial role in advancing research in various fields, such as computational linguistics, computer science, and artificial intelligence. R is frequently used for statistical software development, data analysis, and data visualisation because it can handle large data sets with ease.

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Heartbeat

DECEMBER 14, 2023

From 2013 to 2023, he divided his time working for Google (Google Brain) and the University of Toronto, before publicly announcing his departure from Google in May 2023 citing concerns about the risks of artificial intelligence (AI) technology. Thought:I now know the final answer. > Finished chain. Thought:I now know the final answer.

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