Analytics Vidhya

MAY 9, 2024

You might have heard about the world’s first humanoid robot, Sophia, who answered affirmatively to destroy humanity in […] The post Footprints of AI: Read This Before Working on Massive AI Models appeared first on Analytics Vidhya.

AI Modeling 329

AI Modeling Robotics AI AI 329

IBM Journey to AI blog

AUGUST 11, 2023

Today, 35% of companies report using AI in their business, which includes ML, and an additional 42% reported they are exploring AI, according to the IBM Global AI Adoption Index 2022. MLOps is the next evolution of data analysis and deep learning. Generative AI relies on foundation models to create a scalable process.

Data Science 170

Data Science DevOps Machine Learning Data Scientist 170

Analytics Vidhya

NOVEMBER 1, 2022

This article was published as a part of the Data Science Blogathon. Various robust AI Models have been made that perform far better than the human brain, like deepfake generation, image classification, text classification, etc. Companies are investing vast […].

Deep Learning 389

Deep Learning Artificial Intelligence Artificial Intelligence Machine Learning 389

ODSC - Open Data Science

MARCH 12, 2025

The field of data science has evolved dramatically over the past several years, driven by technological breakthroughs, industry demands, and shifting priorities within the community. Data Engineerings SteadyGrowth 20182021: Data engineering was often mentioned but overshadowed by modeling advancements.

Data Science 52

Data Science ETL Machine Learning AI Engineer 52

Analytics Vidhya

AUGUST 6, 2024

But it […] The post Try GitHub Models: Test AI Models like GPT-4o and Llama 3.1 You want a place where you can not only store your code but also collaborate with others, keep track of changes, and maybe even show off your work to potential employers or developers. That’s where GitHub comes in!

AI Modeling 304

AI Modeling AI AI Data Science 304

Unite.AI

NOVEMBER 1, 2024

Dirty data—data that is incomplete, inaccurate, or inconsistent—can have a cascading effect on AI systems. When AI models are trained on poor-quality data, the resulting insights and predictions are fundamentally flawed.

AI Developer 162

AI Developer AI Development Data Quality Data Science 162

Analytics Vidhya

MARCH 4, 2024

Introduction In a significant development, the Indian government has mandated tech companies to obtain prior approval before deploying AI models in the country.

AI Modeling 289

AI Modeling AI AI Large Language Models 289

Analytics Vidhya

OCTOBER 26, 2022

This article was published as a part of the Data Science Blogathon. The AI Model predicting the expected weather predicts a 40% chance of rain today, a 50% chance of Wednesday, and a […]. The post Calibration of Machine Learning Models appeared first on Analytics Vidhya.

Machine Learning 328

Machine Learning Data Science AI Modeling AI 328

Towards AI

FEBRUARY 22, 2024

How would you expedite the completion of your next data science project?Photo Is there anyone who could assist us in creating an AI model? Indeed, ChatGPT can create an accurate, efficient, and fully functional AI model on any given dataset. Join thousands of data leaders on the AI newsletter.

Data Science 111

Data Science Data Scientist ChatGPT Artificial Intelligence 111

AI Weekly

DECEMBER 7, 2023

Powered by superai.com In the News Google says new AI model Gemini outperforms ChatGPT in most tests Google has unveiled a new artificial intelligence model that it claims outperforms ChatGPT in most tests and displays “advanced reasoning” across multiple formats, including an ability to view and mark a student’s physics homework.

Convolutional Neural Networks 263

Convolutional Neural Networks ChatGPT Robotics AI Modeling 263

Unite.AI

FEBRUARY 11, 2025

The platforms capabilities extend to robotics and autonomous vehicles, enabling enterprises to simulate edge cases and validate AI models before deployment. Future AGI is redefining AI accuracy by enabling enterprises to: Generate and manage synthetic datasets for AI model training.

Auto-complete 147

Auto-complete ML Engineer AI AI 147

AssemblyAI

NOVEMBER 9, 2023

AssemblyAI’s Summarization Models AssemblyAI is a Speech AI company building new AI systems that can understand and process human speech. The company’s AI models for Summarization achieve state-of-the-art results on audio and video. Pricing ranges from $0-$499/month, depending on usage.

NLP 256

NLP AI Modeling AI AI 256

Towards AI

APRIL 1, 2024

Last Updated on April 2, 2024 by Editorial Team Author(s): Wencong Yang Originally published on Towards AI. Image by author (Ideogram) In the realm of data science projects, the excitement lies in the “Intelligent” aspect, where deep learning models successfully make remarkably accurate predictions.

Data Science 105

Data Science Data Scientist Software Development Deep Learning 105

NVIDIA

FEBRUARY 19, 2025

Scientists everywhere can now access Evo 2, a powerful new foundation model that understands the genetic code for all domains of life. With Evo 2, we make biological design of complex systems more accessible to researchers, enabling the creation of new and beneficial advances in a fraction of the time it would previously have taken.

Data Science 143

Data Science AI Modeling AI AI 143

Towards AI

NOVEMBER 16, 2024

Author(s): Isuru Lakshan Ekanayaka Originally published on Towards AI. Traditional large language models (LLMs) like ChatGPT excel in generating human-like text based on extensive training data. Top highlight This member-only story is on us. Upgrade to access all of Medium.

LLM 105

LLM AI Modeling Large Language Models Artificial Intelligence 105

Towards AI

MARCH 7, 2024

Last Updated on March 7, 2024 by Editorial Team Author(s): Wencong Yang Originally published on Towards AI. Integrate an AI model into an application. In the realm of IT application development, especially as a data scientist, it’s customary to encapsulate data processing and model inference pipelines into an API service.

Data Science 104

Data Science Software Engineer Data Scientist Python 104

Analytics Vidhya

AUGUST 2, 2022

This article was published as a part of the Data Science Blogathon. Introduction In the modern day, where there is a colossal amount of data at our disposal, using ML models to make decisions has become crucial in sectors like healthcare, finance, marketing, etc.

Explainable AI 291

Explainable AI Explainability Data Science ML 291

Unite.AI

JANUARY 3, 2025

Youve had an extensive career transitioning from management consulting to leading data science initiatives. What inspired you to make this shift, and how has your journey shaped your approach to leveraging AI in business today? To optimize the software development lifecycle, were looking for enhanced efficiency and alignment.

Data Scientist 130

Data Scientist Software Development Data Science Generative AI 130

Marktechpost

JULY 28, 2024

In the past decade, the data-driven method utilizing deep neural networks has driven artificial intelligence success in various challenging applications across different fields. Moreover, a significant barrier in this field is the lack of communication between domain experts and advanced artificial intelligence models.

Data Analysis 135

Data Analysis AI Modeling Data Science Artificial Intelligence 135

ODSC - Open Data Science

MARCH 7, 2025

Due to the high costs of running large-scale AI models , OpenAI is evaluating whether it will continue offering GPT-4.5 is a very large and compute-intensive model, making it more expensive than and not a replacement for GPT-4o, the company stated. Balancing Costs and Developer Access While OpenAI is making a preview of GPT-4.5

OpenAI 52

OpenAI AI Modeling AI AI 52

Marktechpost

NOVEMBER 16, 2024

Generative AI for Data Scientists Specialization This specialization by IBM is designed for data professionals to learn generative AI, including prompt engineering and applying AI tools in data science.

Artificial Intelligence 104

Artificial Intelligence Artificial Intelligence Prompt Engineer Prompt Engineering 104

AWS Machine Learning Blog

OCTOBER 1, 2024

By providing a secure, high-performance, and scalable set of data science and machine learning services and capabilities, AWS empowers businesses to drive innovation through the power of AI. These services play a pivotal role in addressing diverse customer needs across the generative AI journey.

Data Science 97

Data Science Machine Learning Data Scientist Generative AI 97

Marktechpost

OCTOBER 29, 2024

The rise of AI-assisted coding has undoubtedly revolutionized software development, but not without its challenges. One of the main pain points for developers has been the lack of choice and flexibility in selecting AI models that best suit their unique needs.

OpenAI 104

OpenAI Software Development AI AI 104

Flipboard

SEPTEMBER 7, 2023

Fighting for relevance in the growing — and ultra-competitive — AI space, IBM this week introduced new generative AI models and capabilities across its recently-launched Watsonx data science platform. The new models, called the Granite series models, appear to be standard large language models …

Generative AI 181

Generative AI Large Language Models Data Science AI 181

databricks

JULY 22, 2024

Today, we're thrilled to announce that Mosaic AI Model Training's support for fine-tuning GenAI models is now available in Public Preview. At Databricks.

AI Modeling 138

AI Modeling AI AI Generative AI 138

NVIDIA

JANUARY 8, 2024

Generative AI is transforming drug research and development, enabling new discoveries faster than ever — and Amgen, one of the world’s leading biotechnology companies, is tapping the technology to power its research. Amgen researchers have also been accessing BioNeMo via NVIDIA DGX Cloud , an AI supercomputing service.

Generative AI 135

Generative AI AI Modeling AI AI 135

AssemblyAI

NOVEMBER 6, 2024

Businesses also generate mountains of data—from customer interactions, sales, and operational processes—creating massive opportunities to train and gain business-critical insights from AI models. Many companies face a talent gap amidst the high demand for experts who can effectively implement and manage AI systems.

AI 147

AI AI Natural Language Processing Categorization 147

IBM Journey to AI blog

MAY 9, 2023

A lack of confidence to operationalize AI Many organizations struggle when adopting AI. According to Gartner , 54% of models are stuck in pre-production because there is not an automated process to manage these pipelines and there is a need to ensure the AI models can be trusted.

Metadata 227

Metadata Explainability Automation Responsible AI 227

Unite.AI

JANUARY 24, 2025

One of the most pressing challenges in artificial intelligence (AI) innovation today is large language models (LLMs) isolation from real-time data. To tackle the issue, San Francisco-based AI research and safety company Anthropic, recently announced a unique development architecture to reshape how AI models interact with data.

Large Language Models 100

Large Language Models OpenAI AI AI 100

ODSC - Open Data Science

MARCH 5, 2025

In the ever-expanding world of data science, the landscape has changed dramatically over the past two decades. Once defined by statistical models and SQL queries, todays data practitioners must navigate a dynamic ecosystem that includes cloud computing, software engineering best practices, and the rise of generative AI.

Data Science 52

Data Science Software Engineer Data Scientist Machine Learning 52

Unite.AI

OCTOBER 6, 2023

What I like about working with data is that data has a story to tell. Data can be tremendously impactful, but only if you get it into the right person's hands. What are some of the unique challenges of implementing data science and machine learning solutions in Africa? It is magic.

Data Scientist 289

Data Scientist Data Science Machine Learning Natural Language Processing 289

Flipboard

JULY 28, 2023

Zuckerberg also made the case for why it’s better for leading AI models to be “open source,” which means making the technology’s underlying code largely available for anyone to use. He added, “AI, whether open source or not, hasn’t made those steps any easier.” There’s also a self-interest here for improving Meta’s own products.

AI Modeling 123

AI Modeling Large Language Models AI AI 123

Pickl AI

FEBRUARY 19, 2025

Summary: The difference between Data Science and Data Analytics lies in their approachData Science uses AI and Machine Learning for predictions, while Data Analytics focuses on analysing past trends. Data Science requires advanced coding, whereas Data Analytics relies on statistical methods.

Data Science 52

Data Science Machine Learning Data Scientist Algorithm 52

AWS Machine Learning Blog

NOVEMBER 6, 2024

Traditionally, building frontend and backend applications has required knowledge of web development frameworks and infrastructure management, which can be daunting for those with expertise primarily in data science and machine learning. Let’s explore how you can customize the Streamlit application.

Python 119

Python Generative AI Data Scientist LLM 119

IBM Journey to AI blog

SEPTEMBER 20, 2023

Foundational models (FMs) are marking the beginning of a new era in machine learning (ML) and artificial intelligence (AI) , which is leading to faster development of AI that can be adapted to a wide range of downstream tasks and fine-tuned for an array of applications.

Large Language Models 238

Large Language Models DevOps Data Science AI Modeling 238

ODSC - Open Data Science

FEBRUARY 27, 2025

Industry, Opinion, CareerAdvice The Evolving Role of the Modern Data Practitioner In this discussion with Microsofts Marck Vaisman, we talk about the evolution of data science and what it means to be a data practitioner in 2025 andbeyond. Register now for 40%off!

Data Science 52

Data Science Large Language Models Machine Learning Generative AI 52

AI News

SEPTEMBER 29, 2024

AI models often need access to real-time data for training and inference, so the database must offer low latency to enable real-time decision-making and responsiveness. Selecting a database that can manage such variety without complex ETL processes is important.

Big Data 299

Big Data Generative AI ETL Data Ingestion 299