Data Science Current

Transformer models: A guide to understanding different transformer architectures and their uses

Data Science Dojo

MARCH 23, 2024

Their role is critical to ensure improved accuracy, faster training on data, and wider applicability. Categorization based on pre-training approaches While architecture is a basic component of consideration, the training techniques are equally crucial components for transformers. How to categorize transformer models?

Natural Language Processing

Natural Language Processing AI AI

LLMs Exposed: Are They Just Cheating on Math Tests?

Analytics Vidhya

MAY 5, 2024

These models are designed to process and understand human language, enabling them to perform tasks such as question answering, language translation, and text generation. LLMs are typically trained on large datasets scraped from […] The post LLMs Exposed: Are They Just Cheating on Math Tests?

Natural Language Processing

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Fine-tune Llama 3 using Direct Preference Optimization

Analytics Vidhya

MAY 2, 2024

Introduction Large Language Models have revolutionized productivity by enabling tasks like Q&A, dynamic code generation, and agentic systems. However, pre-trained vanilla models are often biased and can produce harmful content.

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The Key to Sustainable Energy Optimization: A Data-Driven Approach for Manufacturing

From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Understanding User Needs and Satisfying Them

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Top 10 Open-Source LLMs for 2024 and Their Uses

Analytics Vidhya

APRIL 8, 2024

Introduction Large language models (LLMs) represent a category of artificial intelligence (AI) trained on extensive datasets of text. This training enables them to excel in tasks such as text generation, language translation, creative content creation across various genres, and providing informative responses to queries.

Artificial Intelligence

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Llama 3: A new milestone for Meta in the world of NLP and LLMs

Data Science Dojo

APRIL 26, 2024

It is trained on a massive dataset (15 trillion tokens of data to be exact), promising improved performance and better contextual understanding. The improved reasoning capabilities enable Llama 3 to solve puzzles and understand cause-and-effect relationships within the text. Let’s look at the important features of Llama 3.

AI

AI AI Natural Language Processing Azure

Unveiling the Inner Workings: A Deep Dive into BERT’s Attention Mechanism

Analytics Vidhya

DECEMBER 12, 2023

Introduction BERT, short for Bidirectional Encoder Representations from Transformers, is a system leveraging the transformer model and unsupervised pre-training for natural language processing. Being pre-trained, BERT learns beforehand through two unsupervised tasks: masked language modeling and sentence prediction.

Natural Language Processing

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Understanding Sora: An OpenAI model for video generation

Data Science Dojo

FEBRUARY 16, 2024

It enables the model to perform varying image and video editing tasks. OpenAI’s methodology to train generative models of videos As explained in a research article by OpenAI, the generative models of videos are inspired by large language models (LLMs). What is Sora?

Artificial Intelligence

Artificial Intelligence Artificial Intelligence AI AI

Empower your understanding of important machine-learning techniques

Data Science Dojo

FEBRUARY 7, 2024

It makes machine learning (ML) a critical component of data science where algorithms are statistically trained on data. It enables computer programs to perform tasks without depending on programming. Technological advancement has resulted in highly sophisticated algorithms that require enhanced strategies for training models.

Machine Learning

Machine Learning Machine Learning ML ML

RAG and finetuning: A comprehensive guide to understanding the two approaches

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. Additional training on a focused dataset sharpens the model’s expertise in a particular area, enabling it to perform with greater precision and understanding.

Database

Database AI AI Natural Language Processing

Self-teaching AI models might have been discovered

Dataconomy

MARCH 27, 2024

This eliminates the need for individual training for each AI, streamlining development. To evaluate its efficiency, the researchers enabled one AI to master a task using the instructions provided. This milestone hinges on harnessing natural language processing, enabling machines to comprehend and replicate human language naturally.

Natural Language Processing

Natural Language Processing AI AI Artificial Intelligence

Fine-Grained Human Feedback

databricks

FEBRUARY 27, 2024

In this blog post, we discuss Fine-Grained RLHF, a framework that enables training and learning from reward functions that are fine-grained in two.

AI

AI AI

RFM-1: Covariant AI’s model bridges the gap between reasoning and dexterity

Data Science Dojo

MARCH 15, 2024

Its robots are powered by a technology called the Covariant Brain, a machine-learning (ML) model to train and improve robots’ functionality in real-world applications. So the development of enhanced functionalities in robots, and the appropriate training requires large volumes of data. What is Covariant AI? What is Covariant AI?

AI

AI AI Machine Learning Machine Learning

From learning to machine unlearning: Taking Generative AI a step ahead

Data Science Dojo

APRIL 8, 2024

Hence, it refers to the process of getting a trained model to forget information and specific knowledge it has learned during the training phase. The concept is fairly new and still under research in an attempt to improve the overall ML training process. What is machine unlearning?

AI

AI AI Machine Learning Machine Learning

The 6 best ChatGPT plugins for data science

Data Science Dojo

OCTOBER 2, 2023

Notably, ChatGPT has embraced a range of plugins that extend its capabilities, enabling users to do more than merely generate textual responses. ChatGPT can also use Wolfram Language to perform more complex tasks, such as simulating physical systems or training machine learning models. What are ChatGPT Plugins?

Data Science

Data Science Machine Learning Machine Learning Data Analysis

Vision Language Models: Introducing the new tiny VLM Moondream 2

Data Science Dojo

APRIL 9, 2024

Understanding vision language models VLMs combine computer vision (CV) and natural language processing (NLP), enabling them to understand and connect visual information with textual data. It learns these tasks by training on datasets that pair images with their corresponding textual description. What is Moondream 2? With only 1.86

Natural Language Processing

Natural Language Processing Python AI AI

7 steps to master large language models (LLMs)

Data Science Dojo

DECEMBER 8, 2023

Large language models (LLMs) have revolutionized the field of natural language processing (NLP), enabling machines to generate human-quality text, translate languages, and answer questions in an informative way. It involves training the LLM on a massive dataset of text and code to learn general language patterns and representations.

Natural Language Processing

Natural Language Processing Deep Learning Deep Learning Computer Science

From GPT-3 to Future Generations of Language Models

Analytics Vidhya

JUNE 16, 2023

Introduction Large Language Models (LLMs) have revolutionized natural language processing, enabling computers to generate human-like text and understand context with unprecedented accuracy. In this article, we shall discuss what will be the future of language models? How LLMs will revolutionise the world?

Natural Language Processing

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Object Localization with CNN-based Localizers

Analytics Vidhya

JUNE 9, 2023

It plays a crucial role in computer vision applications, enabling tasks like object detection, tracking, and segmentation. Introduction Object Localization refers to the task of precisely identifying and localizing objects of interest within an image.

Analytics

Analytics Analytics Python

GPT-4: A potential stepping stone on the path to artificial general intelligence AGI

Data Science Dojo

APRIL 5, 2024

Its ability to tackle unfamiliar tasks without specialized training or prompting is an important characteristic of AGI. AGI (Artificial General Intelligence) refers to a higher level of AI that exhibits intelligence and capabilities on par with or surpassing human intelligence. Here’s a sneak peek into how GPT-4 is different from GPT-3.5

Data Visualization

Data Visualization AI AI Python

NVIDIA Brings Generative AI to World’s Enterprises With Cloud Services for Creating Large Language and Visual Models

insideBIGDATA

MARCH 23, 2023

To accelerate enterprise adoption of generative AI, NVIDIA announced a set of cloud services that enable businesses to build, refine and operate custom large language models and generative AI models that are trained with their own proprietary data and created for their unique domain-specific tasks.

AI

AI AI Deep Learning Deep Learning

Build Your Own Translator with LLMs & Hugging Face

Analytics Vidhya

JULY 27, 2023

Language Models (LLMs) trained on vast text data have deep language understanding, enabling seamless translation between people of different languages. Introduction Language barriers can hinder global communication, but AI and natural language processing offer solutions.

Natural Language Processing

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Artists Google to court over AI image generator

Dataconomy

APRIL 30, 2024

The plaintiffs, including photographer Jingna Zhang and cartoonists Sarah Andersen, Hope Larson, and Jessica Fink, assert in their class action suit that Google’s Imagen, an AI-driven image generator, was trained using their copyrighted works without authorization. What’s happening? Featured image credit: Alex Dudar/Unsplash

AI

AI AI Artificial Intelligence Artificial Intelligence

The Inner Workings of LLMs: A Deep Dive into Language Model Architecture

Analytics Vidhya

JULY 25, 2023

Introduction Language Models based on Large- scale pre- training LLMs have revolutionized the field of natural language processing. Thus, enabling machines to comprehend and generate human-like text with remarkable accuracy.

Natural Language Processing

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Introducing automatic training for solutions in Amazon Personalize

AWS Machine Learning Blog

APRIL 19, 2024

Amazon Personalize is excited to announce automatic training for solutions. Solution training is fundamental to maintain the effectiveness of a model and make sure recommendations align with users’ evolving behaviors and preferences. For this post, you configure automatic training in the training parameters.

AWS

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A Basic Introduction to Tensorflow in Deep Learning

Analytics Vidhya

MARCH 3, 2022

It’s a symbolic math toolkit that integrates data flow and differentiable programming to handle various tasks related to deep neural network training and inference. It enables programmers to design machine learning applications utilising […].

Deep Learning

Deep Learning Deep Learning Machine Learning Machine Learning

Nvidia’s Game-Changing AI Image Personalization: The Perfusion Method

Analytics Vidhya

AUGUST 4, 2023

Unlike its heavyweight competitors, Perfusion stands out with its compact size of just 100KB and lightning-fast 4-minute training time. In the ever-evolving world of AI art creation, Nvidia has unveiled a revolutionary text-to-image personalization method called Perfusion.

AI

AI AI Analytics Analytics

GTX vs RTX: Which is Better for Data Science Applications?

Analytics Vidhya

SEPTEMBER 20, 2023

They accelerate complex computations and enable data scientists to train machine learning models faster. Graphics Processing Units (GPUs) have become indispensable tools in the field of data science. When it comes to choosing the right GPU for data science tasks, two prominent lines of NVIDIA GPUs stand out: the GTX and RTX series.

Data Science

Data Science Data Scientist Machine Learning Machine Learning

Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation

Machine Learning Research at Apple

DECEMBER 3, 2023

Recent advances in image tokenizers, such as VQ-VAE, have enabled text-to-image generation using auto-regressive methods, similar to language modeling. However, these methods have yet to leverage pre-trained language models, despite their adaptability to various downstream tasks.

Tensorflow For GPU Computations

Analytics Vidhya

DECEMBER 20, 2021

This article was published as a part of the Data Science Blogathon Introduction In this article, we are going to learn how we can enable tensorflow for GPU Computations. Okay, let’s face it, Deep Learning Models are data-hungry and are often huge require a lot of computation power to train. Doing so on our device CPU […].

Deep Learning

Deep Learning Deep Learning Data Science Analytics

MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training

Hacker News

MARCH 15, 2024

Through careful and comprehensive ablations of the image encoder, the vision language connector, and various pre-training data choices, we identified several crucial design lessons. In particular, we study the importance of various architecture components and data choices.

High-Fidelity Synthetic Data for Data Engineers and Data Scientists Alike

KDnuggets

JULY 7, 2022

Take advantage of your existing data whether it be for testing, training ML models, or unlocking data analysis. Answer nuanced scientific questions, enable better testing, and support business decisions with the synthetic data that looks, feels, and behaves like your production data - because it’s made from your production data.

Data Scientist

Data Scientist Data Engineering Data Engineer Data Engineering

Moonwalk: Advancing Gait-Based User Recognition on Wearable Devices with Metric Learning

Machine Learning Research at Apple

MARCH 10, 2024

Our approach centers on gait recognition; enabling users to establish their identity simply by walking for a brief interval, despite the sensor's placement away from the feet. We employ self-supervised metric learning to train a model that…

Learning Universal Predictors

Hacker News

JANUARY 28, 2024

Meta-learning has emerged as a powerful approach to train neural networks to learn new tasks quickly from limited data. Broad exposure to different tasks leads to versatile representations enabling general problem solving. We provide theoretical analysis of the UTM data generation processes and meta-training protocols.

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Nutanix Boxes-Up Generative AI Infrastructure

Adrian Bridgwater for Forbes

AUGUST 15, 2023

Nutanix GPT-In-A-Box enables organizations to purchase AI-ready infrastructure to fine-tune and run generative pre-trained transformers (GPTs), including LLMs.

AI

AI AI

Beyond A*: Better Planning with Transformers

Hacker News

FEBRUARY 23, 2024

While Transformers have enabled tremendous progress in various application settings, such architectures still lag behind traditional symbolic planners for solving complex decision making tasks. Searchformer is an encoder-decoder Transformer model trained to predict the search dynamics of $A^*$. of the time, while using up to 26.8%

Exploring the untapped benefits of speech analytics in call centers

Dataconomy

MARCH 28, 2024

Speech analytics is a tool that enables companies to analyze and extract valuable information from interactions with customers effectively. With this tool, companies can identify weaknesses, conduct training and coaching sessions for operators, and enhance customer service. However, this list of tool capabilities is broader than this.

Analytics

Analytics Analytics

The history of Machine Learning – dates back to the 17th century

Dataconomy

APRIL 27, 2022

Contrary to popular belief, the history of machine learning, which enables machines to learn tasks for which they are not specifically programmed, and train themselves in unfamiliar environments, goes back to 17th century. Machine learning is a powerful tool for implementing artificial intelligence technologies.

Machine Learning

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence

How do AI supercomputers train large Gen AI models? Simply Explained

Towards AI

MAY 13, 2024

So, in this blog post, let’s take a look at what exactly an AI supercomputer is and how it trains large AI models such as GPT3, GPT4, and even the latest GPT-4o, that power ChatGPT and BingChat. When it comes to large AI model training, supercomputers sound like an even bigger deal. Join thousands of data leaders on the AI newsletter.

AI

AI AI Deep Learning Deep Learning

Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning Blog

JANUARY 5, 2024

The AWS portfolio of ML services includes a robust set of services that you can use to accelerate the development, training, and deployment of machine learning applications. Collaboration – Data scientists each worked on their own local Jupyter notebooks to create and train ML models.

AWS

AWS Data Science ML ML

Synthetic images aid the recognition of human-made art forgeries

Hacker News

FEBRUARY 23, 2024

Previous research has shown that Artificial Intelligence is capable of distinguishing between authentic paintings by a given artist and human-made forgeries with remarkable accuracy, provided sufficient training. We train a classifier to distinguish original artworks from forgeries.

Artificial Intelligence

Artificial Intelligence Artificial Intelligence AI AI

Amazon SageMaker model parallel library now accelerates PyTorch FSDP workloads by up to 20%

AWS Machine Learning Blog

DECEMBER 22, 2023

Large language model (LLM) training has surged in popularity over the last year with the release of several popular models such as Llama 2, Falcon, and Mistral. Training performant models at this scale can be a challenge. These features improve the usability of the library, expand functionality, and accelerate training.

Clustering

Clustering AWS Deep Learning Deep Learning

The UOAIS method enables AI to detect occluded objects

Dataconomy

APRIL 25, 2022

Researchers developed a new model in order to enable AI to detect occluded objects. This partial information causes detection mistakes, and large training data is required to. These systems must make assumptions based only on the parts of things that are visible in situations where objects are not entirely visible.

AI

AI AI Big Data Big Data

LongRoPE: Extending LLM Context Window Beyond 2M Tokens

Hacker News

FEBRUARY 22, 2024

This paper introduces LongRoPE that, for the first time, extends the context window of pre-trained LLMs to an impressive 2048k tokens, with up to only 1k fine-tuning steps at within 256k training lengths, while maintaining performance at the original short context window.

The crucial role of data security management in the digital age

Dataconomy

JANUARY 10, 2024

Employee training on best practices Human error remains a factor in data breaches. Companies should conduct training sessions that cover topics such as identifying phishing attempts, creating passwords, and handling confidential information securely. In this post, we will explore the role of managing data security in the landscape.

Internet of Things

Internet of Things Cloud Computing Artificial Intelligence Artificial Intelligence

Transformer models: A guide to understanding different transformer architectures and their uses

LLMs Exposed: Are They Just Cheating on Math Tests?

Webinars

Trending Sources

Fine-tune Llama 3 using Direct Preference Optimization

Webinars

Top 10 Open-Source LLMs for 2024 and Their Uses

Llama 3: A new milestone for Meta in the world of NLP and LLMs

Unveiling the Inner Workings: A Deep Dive into BERT’s Attention Mechanism

Understanding Sora: An OpenAI model for video generation

Empower your understanding of important machine-learning techniques

RAG and finetuning: A comprehensive guide to understanding the two approaches

Self-teaching AI models might have been discovered

Fine-Grained Human Feedback

RFM-1: Covariant AI’s model bridges the gap between reasoning and dexterity

From learning to machine unlearning: Taking Generative AI a step ahead

The 6 best ChatGPT plugins for data science

Vision Language Models: Introducing the new tiny VLM Moondream 2

7 steps to master large language models (LLMs)

From GPT-3 to Future Generations of Language Models

Object Localization with CNN-based Localizers

GPT-4: A potential stepping stone on the path to artificial general intelligence AGI

NVIDIA Brings Generative AI to World’s Enterprises With Cloud Services for Creating Large Language and Visual Models

Build Your Own Translator with LLMs & Hugging Face

Artists Google to court over AI image generator

The Inner Workings of LLMs: A Deep Dive into Language Model Architecture

Introducing automatic training for solutions in Amazon Personalize

A Basic Introduction to Tensorflow in Deep Learning

Nvidia’s Game-Changing AI Image Personalization: The Perfusion Method

GTX vs RTX: Which is Better for Data Science Applications?

Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation

Tensorflow For GPU Computations

MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training

High-Fidelity Synthetic Data for Data Engineers and Data Scientists Alike

Moonwalk: Advancing Gait-Based User Recognition on Wearable Devices with Metric Learning

Learning Universal Predictors

Nutanix Boxes-Up Generative AI Infrastructure

Beyond A*: Better Planning with Transformers

Exploring the untapped benefits of speech analytics in call centers

The history of Machine Learning – dates back to the 17th century

How do AI supercomputers train large Gen AI models? Simply Explained

Modernizing data science lifecycle management with AWS and Wipro

Synthetic images aid the recognition of human-made art forgeries

Amazon SageMaker model parallel library now accelerates PyTorch FSDP workloads by up to 20%

The UOAIS method enables AI to detect occluded objects

LongRoPE: Extending LLM Context Window Beyond 2M Tokens

The crucial role of data security management in the digital age

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