databricks

FEBRUARY 1, 2024

As Chief Scientist (Neural Networks) at Databricks, I lead our research team toward the goal of giving everyone the ability to build and.

Neural Network 143

Neural Network AI AI AI Engineer 143

ODSC - Open Data Science

MARCH 12, 2025

The Rise of AI Engineering andMLOps 20182019: Early discussions around MLOps and AI engineering were sparse, primarily focused on general machine learning best practices. 20232024: AI engineering became a hot topic, expanding beyond MLOps to include AI agents, autonomous systems, and scalable model deployment techniques.

Data Science 52

Data Science ETL Machine Learning AI Engineer 52

ODSC - Open Data Science

APRIL 1, 2025

LLM & RAG Evaluation Playbook for Production Apps Paul Iusztin, Senior AI Engineer / Founder at Decoding ML Go beyond toy demos and learn how to rigorously evaluate LLM + RAG systems in production. This session provides practical frameworks and tools to measure, debug, and improve performance in real-world AI applications.

Neural Network 52

Neural Network LLM Software Engineer AI 52

Marktechpost

OCTOBER 17, 2024

The PyTorch community has continuously been at the forefront of advancing machine learning frameworks to meet the growing needs of researchers, data scientists, and AI engineers worldwide. This feature is especially useful for repeated neural network modules like those commonly used in transformers.

Machine Learning 120

Machine Learning Neural Network Data Scientist Inference Engine 120

Marktechpost

DECEMBER 27, 2023

A challenge AI engineers face in machine learning is the need for a complex infrastructure to manage models. Additionally, PostgresML supports the training of tabular data on more than 50 algorithms, including popular ones like random forests and neural networks.

Machine Learning 124

Machine Learning ML Python Neural Network 124

Towards AI

AUGUST 24, 2023

Common mistakes and misconceptions about learning AI/ML Markus Spiske on Unsplash A common misconception of beginners is that they can learn AI/ML from a few tutorials that implement the latest algorithms, so I thought I would share some notes and advice on learning AI. Trying to learn AI from research papers.

Neural Network 98

Neural Network Software Engineer Algorithm Machine Learning 98

Towards AI

AUGUST 25, 2023

What is AI Engineering AI Engineering is a new discipline focused on developing tools, systems, and processes to enable the application of artificial intelligence in real-world contexts [1]. In a nutshell, AI Engineering is the application of software engineering best practices to the field of AI.

Machine Learning 98

Machine Learning Software Engineer Neural Network Data Science 98

Aiiot Talk

JULY 20, 2024

A neural-network-based chatbot can easily process complex sequential data, making it ideal for in-depth conversations where attention to detail takes priority. Once AI engineers train the models to identify inconsistencies consistently and perform with high precision, they can deploy them to calibrate equipment quantitatively.

Neural Network 130

Neural Network Automation Artificial Intelligence Artificial Intelligence 130

IBM Journey to AI blog

APRIL 18, 2024

Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move. Most importantly, no matter the strength of AI (weak or strong), data scientists, AI engineers, computer scientists and ML specialists are essential for developing and deploying these systems.

Neural Network 256

Neural Network LLM Algorithm NLP 256

Towards AI

MARCH 6, 2025

Im excited to introduce Python Primer for Generative AI a course designed to help you learn Python the way an AI engineer would. You need to think, build, and solve problems like an engineer right from day one. Think like an AI engineer Develop problem-solving skills that go beyond just writing code.

Python 54

Python Chatbots Large Language Models LLM 54

Unite.AI

MAY 16, 2024

Most AI-powered dream interpretation solutions need natural language processing (NLP) and image recognition technology to some extent. Beyond that, you could use anything from deep learning models to neural networks to make your tool work. After all, most REM sleep is a combination of images and words.

AI 157

AI AI Algorithm LLM 157

Marktechpost

SEPTEMBER 1, 2023

Artificial intelligence (AI) music generators are computer programs that create music. This can be accomplished in several ways, such as by employing neural networks to create entirely unique music or utilizing machine learning algorithms to assess existing music and produce new compositions in a similar style.

Neural Network 107

Neural Network Machine Learning AI AI 107

Unite.AI

SEPTEMBER 1, 2023

The result is AI engines that can connect with you in your natural language, understand the emotion and meaning behind your queries, sound like a human being, and respond like one.

Generative AI 144

Generative AI LLM NLP Neural Network 144

Viso.ai

DECEMBER 20, 2023

For training deep neural networks that are the core of AI vision, data scientists and computer vision professionals depend on a large amount of annotated data. Therefore, it shouldn’t be the AI engineers who annotate images but either an internal annotation team or an external image annotation company.

Computer Vision 98

Computer Vision Deep Learning Neural Network Machine Learning 98

NVIDIA

AUGUST 8, 2023

We found a few engineers and spent almost six months building our first model, a neural network that barely worked and had about 128 million parameters,” an often-used measure of an AI model’s capability. Writer co-founders Habib, CEO, and Alshikh, CTO. “We That translates into big opportunities.

Generative AI 98

Generative AI Neural Network Machine Learning Large Language Models 98

ODSC - Open Data Science

SEPTEMBER 17, 2024

LightGBM’s ability to handle large-scale data with lightning speed makes it a valuable tool for engineers working with high-dimensional data. It’s particularly popular for image classification and convolutional neural networks CNNs. Caffe Caffe is a deep learning framework focused on speed, modularity, and expression.

Software Engineer 52

Software Engineer Neural Network Deep Learning Convolutional Neural Networks 52

How to Learn Machine Learning

AUGUST 12, 2024

If you are already skilled and have pursued software programming, you can already think of a lucrative career in AI and know about becoming an expert AI engineer. But first, what is AI Engineering? AI Engineering is a branch of engineering that focuses on designing, developing, and managing systems that use AI.

Artificial Intelligence 64

Artificial Intelligence Artificial Intelligence Machine Learning AI Engineer 64

Pickl AI

JULY 14, 2023

Machine Learning and Neural Networks (1990s-2000s): Machine Learning (ML) became a focal point, enabling systems to learn from data and improve performance without explicit programming. Techniques such as decision trees, support vector machines, and neural networks gained popularity.

Neural Network 52

Neural Network Software Engineer Artificial Intelligence Artificial Intelligence 52

ODSC - Open Data Science

DECEMBER 5, 2023

Sarah Bird, PhD | Global Lead for Responsible AI Engineering | Microsoft —  Read the recap here! Jepson Taylor | Chief AI Strategist | Dataiku Thomas Scialom, PhD | Research Scientist (LLMs) | Meta AI Nick Bostrom, PhD | Professor, Founding Director | Oxford University, Future of Humanity Institute —  Read the recap here!

Data Science 98

Data Science Large Language Models Artificial Intelligence Artificial Intelligence 98

Pickl AI

OCTOBER 20, 2024

Difference Between AI, ML, and Deep Learning AI is the broader field that encompasses any technology that mimics human intelligence. ML is a specific approach within AI that uses algorithms to identify patterns in data. It involves using neural networks with multiple layers to handle more complex data.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 52

Pickl AI

JULY 10, 2024

Understanding AI and Machine Learning Artificial Intelligence (AI) is the simulation of human intelligence in machines designed to think and act like humans. AI encompasses various technologies and applications, from simple algorithms to complex neural networks. Focus on classic AI algorithms and neural networks.

Machine Learning 52

Machine Learning Neural Network Deep Learning NLP 52

Mlearning.ai

MARCH 13, 2023

Photo by Andy Kelly on Unsplash Choosing a machine learning (ML) or deep learning (DL) algorithm for application is one of the major issues for artificial intelligence (AI) engineers and also data scientists. Here I wan to clarify this issue.

Machine Learning 52

Machine Learning Algorithm Deep Learning Neural Network 52

ODSC - Open Data Science

OCTOBER 4, 2024

His research includes developing algorithms for end-to-end training of deep neural network policies that combine perception and control, scalable algorithms for inverse reinforcement learning, and deep reinforcement learning algorithms. His work has applications in autonomous robots and vehicles, among other decision-making domains.

Data Science 52

Data Science Machine Learning Neural Network Software Engineer 52

Towards AI

JULY 21, 2023

Last Updated on July 21, 2023 by Editorial Team Author(s): Jd Dantes Originally published on Towards AI. Artificial Intelligence From life as an AI engineer to moral dilemmas. The other side of AI and innovation. In the previous posts, we’ve covered a bit about the technical AI details that the Kdrama Start-Up got right.

Neural Network 52

Neural Network AI AI Artificial Intelligence 52

Unite.AI

SEPTEMBER 13, 2024

Whether you’re an AI engineer, software developer, or researcher, this guide will give you the knowledge to leverage TensorRT-LLM for optimizing LLM inference on NVIDIA GPUs. This comprehensive guide will explore all aspects of TensorRT-LLM, from its architecture and key features to practical examples for deploying models.

Large Language Models 130

Large Language Models LLM Natural Language Processing Auto-complete 130

TheSequence

JANUARY 19, 2024

With traditional ML, you needed to collect and manually annotate a dataset before designing an appropriate neural network architecture and then training it from scratch. With LLMs, you start with a pre-trained model and can customize that same model for many different applications via a technique called " prompt engineering ".

Prompt Engineer 59

Prompt Engineer Prompt Engineering Generative AI Large Language Models 59

Pickl AI

JULY 18, 2023

AI Architects work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to design and deliver AI solutions that drive innovation, efficiency, and competitive advantage. Gain Practical Experience Apply your theoretical knowledge by working on real-world AI projects.

AI Architect 52

AI Architect Machine Learning AI Engineer Data Scientist 52

ODSC - Open Data Science

FEBRUARY 21, 2025

Learn how to create benchmarks, catch hallucinations, select meaningful metrics, and monitor AI agent failure modes, turning evaluation into a key driver for success in your AI applications. Walk away with practical techniques to accelerate text classification and optimize your machine learning pipeline.

Data Scientist 52

Data Scientist Software Engineer LLM Neural Network 52

Pickl AI

SEPTEMBER 23, 2024

Several technologies bridge the gap between AI and Data Science: Machine Learning (ML): ML algorithms, like regression and classification, enable machines to learn from data, enhancing predictive accuracy. Deep Learning: Advanced neural networks drive Deep Learning , allowing AI to process vast amounts of data and recognise complex patterns.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 52

ODSC - Open Data Science

OCTOBER 13, 2023

At ODSC West this October 30th to November 2nd, we’re excited to have some of the best and brightest in AI acting as our keynote speakers this year. Chelsea Finn, PhD Assistant Professor | Stanford University | In-Person | Session: Neural Networks Make Stuff Up. Here’s a bit more on each of them. What Should We do About it?

Robotics 52

Robotics Data Science Artificial Intelligence Artificial Intelligence 52

ODSC - Open Data Science

FEBRUARY 25, 2025

Topics Include: Advanced ML Algorithms & EnsembleMethods Hyperparameter Tuning & Model Optimization AutoML & Real-Time MLSystems Explainable AI & EthicalAI Time Series Forecasting & NLP Techniques Who Should Attend: ML Engineers, Data Scientists, and Technical Practitioners working on production-level ML solutions.

Data Scientist 52

Data Scientist Machine Learning Large Language Models ML Engineer 52

Pickl AI

JANUARY 29, 2024

AI comprises Natural Language Processing, computer vision, and robotics. ML focuses on algorithms like decision trees, neural networks, and support vector machines for pattern recognition. AI Engineer, Machine Learning Engineer, and Robotics Engineer are prominent roles in AI.

Data Science 52

Data Science ML Machine Learning Artificial Intelligence 52

ODSC - Open Data Science

JANUARY 7, 2025

From classic statistical techniques to cutting-edge neural network architectures, algorithms are essential for extracting insights from complex datasets. Neural networks form the core of deep learning applications, allowing for flexible, multi-layered learning processes. Register now for only$299!

Data Scientist 40

Data Scientist Data Science Deep Learning Machine Learning 40

Pickl AI

JUNE 19, 2023

Students study neural networks, the processing of signals and control, and data mining throughout the school’s curriculum. They can work as computer scientists, IT analysts, AI engineers, big data and AI designers, and so on. This programme teaches students how to create autonomous machines and applications.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Mining Machine Learning 52

Dlabs.ai

AUGUST 31, 2021

Hands-on Bayesian neural networks with Tensorflow and Tensorflow probability” “Transfer learning in NLP: How to adjust the model to your problem” Some topics are yet to be announced, so check back for details. If you walk in political circles or need to tackle complex economic questions, this is the conference for you.

Computer Vision 52

Computer Vision Big Data Data Science Deep Learning 52

How to Learn Machine Learning

JANUARY 21, 2023

This could involve using supervised or unsupervised learning models, such as support vector machines, deep neural networks, or other methods. Developing an NLP project is a great way to learn valuable AI skills and gain hands-on experience.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Natural Language Processing Machine Learning 52

ODSC - Open Data Science

MARCH 6, 2024

Artificial Intelligence has made significant strides since its inception, evolving from simple algorithms to highly advanced Neural Networks capable of performing sophisticated tasks such as generating completely new content, including images, audio, and video.

Responsible AI 52

Responsible AI Generative AI Natural Language Processing Artificial Intelligence 52