Analytics Vidhya

AUGUST 21, 2022

Artificial intelligence is a subset of data science that gives life to a machine. Data scientists perform predictive data analysis based on […]. The post Simplifying AI Models with the PEAS Representation System appeared first on Analytics Vidhya.

AI Modeling 271

AI Modeling Artificial Intelligence Artificial Intelligence Data Scientist 271

Flipboard

JUNE 27, 2023

New poll data from enterprise MLOps platform Domino Data Lab found that data scientists believe generative AI will significantly impact enterprises over the next few years, but its capabilities cannot be outsourced — that is, enterprises need to fine-tune or control their own gen AI models.

Data Scientist 150

Data Scientist Generative AI AI AI 150

Analytics Vidhya

MAY 13, 2023

In recent news, OpenAI has been working on a groundbreaking tool to interpret an AI model’s behavior at every neuron level. Large language models (LLMs) such as OpenAI’s ChatGPT are often called black boxes.

Explainability 364

Explainability Large Language Models Data Scientist OpenAI 364

Analytics Vidhya

DECEMBER 21, 2023

In this episode of Leading with Data, Danny Butvinik, Chief Data Scientist at NICE Actimize, takes us from his early fascination with math and chess to groundbreaking advancements in financial crime detection. Butvinik shares insights into unbiased AI models, the potential of quantum computing, and the joy of knowledge-sharing.

Data Scientist 306

Data Scientist AI AI AI Modeling 306

Unite.AI

APRIL 7, 2025

Such models likely do not have as wide of a reliable application as larger LLMs like ChatGPT, but they can be relied upon for specific applications, and carrying those out with precision and efficiency. Finally, such an approach with both baby humans and AI models results in iterative improvement.

LLM 157

LLM ChatGPT Data Scientist AI Modeling 157

Unite.AI

DECEMBER 23, 2024

On the other hand, AWS offers a broad range of AI tools, such as Amazon SageMaker and AWS DeepRacer , which provide businesses the flexibility to build custom AI models. SageMaker, for example, is a robust platform that allows developers and data scientists to create tailored AI models for specific business needs.

Automation 157

Automation Data Scientist AI AI 157

Unite.AI

JANUARY 31, 2025

How does Croptimus integrate multiple data sources, such as satellite imagery, sensors, and AI models, to provide actionable insights for growers? Currently, we use only visual data from the cameras to analyze plant health and identify pests, diseases, nutrient problems, and other issues.

Computer Vision 261

Computer Vision Robotics Data Scientist Automation 261

Unite.AI

MARCH 31, 2025

This voice-first interface brings the experience into what the company dubs vibe mode, echoing the emerging practice of vibe coding where users collaborate with AI in a more fluid, creative manner, often driven by natural language or instinctive prompts. Under the Hood: What Powers a Self-Driving Spreadsheet?

Data Scientist 176

Data Scientist AI AI Data Analysis 176

Analytics Vidhya

SEPTEMBER 21, 2023

As a data scientist with […] The post Cutting Edge Tricks of Applying Large Language Models appeared first on Analytics Vidhya. Yet, harnessing their full potential requires understanding their intricate workings and employing effective techniques, like fine-tuning, for optimizing their performance.

Large Language Models 341

Large Language Models Natural Language Processing Data Scientist Artificial Intelligence 341

Marktechpost

NOVEMBER 16, 2024

Generative AI Fundamentals Specialization This specialization offers a comprehensive introduction to generative AI, covering models like GPT and DALL-E, prompt engineering, and ethical considerations.

Artificial Intelligence 103

Artificial Intelligence Artificial Intelligence Prompt Engineer Prompt Engineering 103

IBM Journey to AI blog

JULY 30, 2024

Organizations in which AI developers or software engineers are involved in the stage of developing AI use cases are much more likely to reach mature levels of AI implementation. Data Scientists and AI experts: Historically we have seen Data Scientists build and choose traditional ML models for their use cases.

Generative AI 266

Generative AI Data Scientist Software Engineer AI 266

AWS Machine Learning Blog

NOVEMBER 6, 2024

The emergence of generative AI has ushered in a new era of possibilities, enabling the creation of human-like text, images, code, and more. However, as exciting as these advancements are, data scientists often face challenges when it comes to developing UIs and to prototyping and interacting with their business users.

Python 113

Python Generative AI Data Scientist LLM 113

Analytics Vidhya

OCTOBER 3, 2023

Generative AI for databases will transform how you deal with databases, whether or not you’re a data scientist, […] The post 10 Ways to Use Generative AI for Database appeared first on Analytics Vidhya. Though it appears to dazzle, its true value lies in refreshing the fundamental roots of applications.

Generative AI 317

Generative AI Data Scientist AI AI 317

Unite.AI

OCTOBER 6, 2023

Celina Lee is the CEO and co-founder of Zindi , the largest professional network for data scientists in Africa. Celina has a passion for unleashing the power of data for social good. But I knew that there was a demand in the market among young African data scientists and aspiring data scientists for this kind of platform.

Data Scientist 284

Data Scientist Data Science Machine Learning Natural Language Processing 284

Analytics Vidhya

JULY 6, 2023

Machine learning (ML) models can be computationally intensive, and training the models can take longer. Data scientists can iterate faster, experiment […] The post RAPIDS: Use GPU to Accelerate ML Models Easily appeared first on Analytics Vidhya.

ML 302

ML Data Scientist Artificial Intelligence Artificial Intelligence 302

Marktechpost

OCTOBER 31, 2024

In the fast-moving world of artificial intelligence and machine learning, the efficiency of deploying and running models is key to success. For data scientists and machine learning engineers, one of the biggest frustrations has been the slow and often cumbersome process of loading trained models for inference.

Data Scientist 79

Data Scientist Inference Engine Machine Learning AI Modeling 79

Unite.AI

OCTOBER 30, 2023

Improves quality: The effectiveness of AI is significantly influenced by the quality of the data it processes. Training AI models with subpar data can lead to biased responses and undesirable outcomes. ” DataOps uses technology to automate data delivery, ensuring quality and consistency.

DevOps 305

DevOps Software Development Automation Artificial Intelligence 305

Unite.AI

JANUARY 30, 2025

While RAG attempts to customize off-the-shelf AI models by feeding them organizational data and logic, it faces several limitations. It's a black box – you can't determine if you've provided enough examples for proper customization or how model updates affect accuracy.

Automation 144

Automation Metadata Explainability Data Scientist 144

John Snow Labs

APRIL 2, 2025

The update enables domain experts, such as doctors or lawyers, to evaluate and improve custom-built large language models (LLMs) with precision and transparency. New capabilities include no-code features to streamline the process of auditing and tuning AI models. ” Click here to learn more about Generative AI Lab 7.0

LLM 89

LLM Generative AI Large Language Models Data Scientist 89

IBM Journey to AI blog

OCTOBER 12, 2023

Connecting AI models to a myriad of data sources across cloud and on-premises environments AI models rely on vast amounts of data for training. Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model.

Data Scientist 234

Data Scientist Metadata Explainability Responsible AI 234

IBM Journey to AI blog

NOVEMBER 29, 2023

Structured synthetic data types are quantitative and includes tabular data, such as numbers or values, while unstructured synthetic data types are qualitative and includes text, images, and video. You can combine this data with real datasets to improve AI model training and predictive accuracy.

Data Scientist 252

Data Scientist Machine Learning Neural Network Data Quality 252

Marktechpost

OCTOBER 28, 2024

An AI playground is an interactive platform where users can experiment with AI models and learn hands-on, often with pre-trained models and visual tools, without extensive setup. It’s ideal for testing ideas, understanding AI concepts, and collaborating in a beginner-friendly environment.

Neural Network 107

Neural Network Natural Language Processing Deep Learning Machine Learning 107

NVIDIA

DECEMBER 2, 2024

That’s why NVIDIA introduced MONAI , which serves as an open-source research and development platform for AI applications used in medical imaging and beyond. MONAI unites doctors with data scientists to unlock the power of medical data to build deep learning models and deployable applications for medical AI workflows.

AI 110

AI AI AI Modeling Data Scientist 110

Unite.AI

APRIL 4, 2025

Were not just identifying targets; were using AI to design our clinical trials, understand the results of our clinical trials, and refine our treatment approaches. Our biology-first approach ensures the quality, depth, accuracy, comprehensiveness, and quantity of the data that goes to our AI models.

AI Modeling 144

AI Modeling Data Scientist Generative AI AI 144

Unite.AI

FEBRUARY 12, 2025

Because MachineMetrics is described as the industrys first AI-driven machine monitoring and predictive analytics platform for discrete manufacturers, even smaller firms without in-house data scientists can leverage advanced predictive maintenance techniques. from equipment without manual readings.

AI Tools 256

AI Tools Machine Learning Auto-complete AI 256

IBM Journey to AI blog

MAY 9, 2023

But the foundation models that power generative AI will make these achievements seem like a prelude to the main act — and this will be especially true if we make the technology as accessible as possible. Watsonx, IBM’s next-generation AI platform, is designed to do just that. Watsonx.ai Watsonx.ai

Data Scientist 276

Data Scientist Machine Learning Automation Metadata 276

Towards AI

NOVEMBER 14, 2024

Taught via 85 written lessons, code notebooks, videos, and instructor interaction — this is the perfect one-stop conversion course for Software Developers, Machine Learning Engineers, Data Scientists, aspiring founders, or Computer Science Students to join the LLM revolution.

LLM 116

LLM Software Development Machine Learning Data Scientist 116

AI Weekly

OCTOBER 19, 2023

Vinovest’s experts and data scientists identify the casks with the strongest growth potential. techcrunch.com Tired of shortages, OpenAI considers making its own AI chips OpenAI, the creator of ChatGPT and DALL-E 3 generative AI products, is exploring the possibility of manufacturing its own AI accelerator chips, according to Reuters.

Robotics 263

Robotics Deep Learning Data Scientist Artificial Intelligence 263

Marktechpost

NOVEMBER 23, 2024

Google Gemini AI Course for Beginners This beginner’s course provides an in-depth introduction to Google’s AI model and the Gemini API, covering AI basics, Large Language Models (LLMs), and obtaining an API key. It’s ideal for those looking to build AI chatbots or explore LLM potentials.

DevOps 106

DevOps Data Analysis Large Language Models Generative AI 106

Towards AI

JANUARY 29, 2025

Examples of Generative AI: Text Generation: Models like OpenAIs GPT-4 can generate human-like text for chatbots, content creation, and more. Music Generation: AI models like OpenAIs Jukebox can compose original music in various styles. Cloud Computing: AWS, Google Cloud, Azure (for deploying AI models) Soft Skills: 1.

AI Engineer 98

AI Engineer Generative AI Neural Network BERT 98

Unite.AI

JULY 21, 2023

In order to protect people from the potential harms of AI, some regulators in the United States and European Union are increasingly advocating for controls and checks and balances on the power of open-source AI models. When AI models become observable, they instill confidence in their reliability and accuracy.

Data Drift 241

Data Drift Large Language Models Algorithm Data Scientist 241

Unite.AI

JUNE 19, 2024

However, integrating AI into manufacturing presents several challenges. Two of the most significant challenges are the availability of high-quality data and the need for more skilled talent. Even the most advanced AI models can fail without accurate and comprehensive data.

Data Quality 196

Data Quality Data Scientist Machine Learning AI 196

Unite.AI

DECEMBER 18, 2024

Simply put, data annotation enriches the machine learning (ML) process by adding context to the content so models can understand and use this data for predictions. The Evolving Role of Data Annotation Data annotation has gained immense importance in recent years.

AI Tools 144

AI Tools Algorithm Machine Learning Artificial Intelligence 144

Unite.AI

OCTOBER 31, 2024

Authenticx uses AI to analyze healthcare conversations. Could you walk us through how your AI models are specifically tailored for healthcare and what makes them unique? Authenticx’s models are built by and for healthcare. Most of all, we have a consistent review of our models and their outputs.

Natural Language Processing 130

Natural Language Processing Machine Learning AI Modeling Data Scientist 130

AI News

AUGUST 3, 2023

Open-source AI and the release of models and datasets are fundamental in ensuring AI benefits as many people as possible. Climate science faces constant challenges due to rapidly changing environmental conditions, requiring access to the latest data.

Big Data 246

Big Data Data Scientist AI AI 246

Unite.AI

JANUARY 27, 2025

With Googles advancements in quantum computing (Willow) and AI models (Gemini 2.0), how do you see the landscape of enterprise AI shifting in the near future? Quite often deployment of a large model is too expensive to make it practical for use.

Deep Learning 157

Deep Learning Data Quality ML Engineer Data Scientist 157

Marktechpost

NOVEMBER 22, 2024

Gemini-exp-1121 is the latest experimental addition to Google’s Gemini series of AI models, designed to meet the growing demand for a comprehensive AI system. The impact of Gemini-exp-1121 goes beyond technical improvements; it influences how developers and data scientists approach problem-solving.

Large Language Models 82

Large Language Models Data Scientist LLM OpenAI 82