IBM Journey to AI blog

AUGUST 9, 2024

Most generative AI models start with a foundation model , a type of deep learning model that “learns” to generate statistically probable outputs when prompted. Generative AI vs. predictive AI use cases The choice to use AI hinges on various factors.

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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. Initially, organizations struggled with versioning, monitoring, and automating model updates.

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Towards AI

JANUARY 6, 2025

You may get hands-on experience in Generative AI, automation strategies, digital transformation, prompt engineering, etc. AI engineering professional certificate by IBM AI engineering professional certificate from IBM targets fundamentals of machine learning, deep learning, programming, computer vision, NLP, etc.

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ODSC - Open Data Science

APRIL 20, 2023

Deep Learning Approaches to Sentiment Analysis (with spaCy!) In this post, we’ll be demonstrating two deep learning approaches to sentiment analysis, specifically using spaCy. Deep Learning Approaches to Sentiment Analysis, Data Integrity, and Dolly 2.0

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Deep Learning Data Integration Large Language Models Data Science 52

NVIDIA

MAY 23, 2023

NVIDIA has been working closely with Microsoft to deliver GPU acceleration and support for the entire NVIDIA AI software stack inside WSL. Now developers can use Windows PC for all their local AI development needs with support for GPU-accelerated deep learning frameworks on WSL. An Olive-optimized version of the Dolly 2.0

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Unite.AI

JUNE 19, 2024

Specialized Certifications : Obtaining industry-recognized certifications, such as the Google Cloud Professional ML Engineer , AWS Certified Machine Learning – Specialty, or Azure AI Engineer Associate , can demonstrate your expertise and commitment to the field. Full Docker Tutorial by TechWorld with Nana. Tool : K9s.

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Towards AI

AUGUST 25, 2023

As a reminder, I highly recommend that you refer to more than one resource (other than documentation) when learning ML, preferably a textbook geared toward your learning level (beginner/intermediate / advanced). In a nutshell, AI Engineering is the application of software engineering best practices to the field of AI.

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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.

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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. These updates help PyTorch stay competitive in the fast-moving field of AI infrastructure. With the latest PyTorch 2.5

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AWS Machine Learning Blog

DECEMBER 12, 2023

In this post, we’ll summarize training procedure of GPT NeoX on AWS Trainium , a purpose-built machine learning (ML) accelerator optimized for deep learning training. In this post, we showed cost-efficient training of LLMs on AWS deep learning hardware. Ben Snyder is an applied scientist with AWS Deep Learning.

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Viso.ai

DECEMBER 20, 2023

Modern vision systems use algorithms based on machine learning, deep learning especially, that need to be trained on images annotated by humans (supervised learning). A deep learning model trained for AI vision inspection in Manufacturing Where can I try CVAT?

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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. Know when not to use AI.

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Analytics Vidhya

MARCH 15, 2024

Introduction Software development is on the brink of a transformative shift as artificial intelligence (AI) continues to push the boundaries of what was once deemed impossible. Enter Devin AI, an AI software engineer developed by the innovative minds at Cognition.

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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. Accelerating AI Workloads with TensorRT TensorRT accelerates deep learning workloads by incorporating precision optimizations such as INT8 and FP16.

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Unite.AI

SEPTEMBER 1, 2023

Machine learning came next with multiple approaches to deep learning and neural nets, etc., 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.

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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. Caffe Caffe is a deep learning framework focused on speed, modularity, and expression. It’s particularly popular for image classification and convolutional neural networks CNNs.

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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. In this article, you will learn about how you can land a job in Artifcial Intelligence in 2024. But first, what is AI Engineering?

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IBM Journey to AI blog

APRIL 18, 2024

While AGI promises machine autonomy far beyond gen AI, even the most advanced systems still require human expertise to function effectively. Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move.

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Pickl AI

OCTOBER 28, 2024

Among these professionals, AI Engineers play a pivotal role in developing and implementing AI solutions. This blog explores the job profile of an AI Engineer, their key responsibilities, the growth of the field, future prospects, factors influencing their salaries , and concludes with frequently asked questions.

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Marktechpost

DECEMBER 27, 2023

A challenge AI engineers face in machine learning is the need for a complex infrastructure to manage models. This problem can be time-consuming and resource-intensive, making it a hurdle for efficient machine-learning operations. This often involves intricate setups and microservices to train and deploy models.

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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. Do you have labeled or unlabeled data?

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Unite.AI

OCTOBER 25, 2024

Gong Gong has established itself as a leading Revenue Intelligence platform and AI SDR, leveraging advanced AI technology specifically designed for revenue teams. The platform's sophisticated approach to sales intelligence is built on over 40 proprietary AI models, trained on billions of high-quality sales interactions.

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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.

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Pickl AI

OCTOBER 20, 2024

Step-by-Step Guide to Learning AI in 2024 Learning AI can seem daunting at first, but by following a structured approach, you can build a solid foundation and gain the skills needed to thrive in this field. This step-by-step guide will take you through the critical stages of learning AI from scratch.

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Heartbeat

OCTOBER 26, 2023

from langchain.llms import OpenAI, Cohere, HuggingFacePipeline, HuggingFaceHub openai_llm = OpenAI() cohere_llm = Cohere() huggingface_llm = HuggingFaceHub(repo_id="tiiuae/falcon-7b", model_kwargs={"max_length": 1000}) prompt = "How do I become an AI Engineer?"

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Robot Writers AI

SEPTEMBER 29, 2024

AI Engineer Snags $2.7 A former Google employee that the tech titan sorely missed, the AI wunderkind was happy to let bygones be bygones — for a mere $2.7 “In three words: Deep learning worked. the AI engine is still a bit weaker than the one running ChatGPT. billion signing fee.

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ODSC - Open Data Science

JANUARY 1, 2024

Webinars Under our Ai+ Training platform, we host playlists of past webinars that we’ve held with Microsoft. Here, we have several different playlists, including machine & deep learning , NLP , responsible AI, model explainability, and other miscellaneous data science topics.

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NVIDIA

NOVEMBER 28, 2023

Huang described Project Ceiba AI supercomputer as “utterly incredible,” saying it will be able to reduce the training time of the largest language models by half.

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ODSC - Open Data Science

MARCH 6, 2024

For instance, two major Machine Learning tasks are Classification, where the goal is to predict a label, and Regression, where the goal is to predict continuous values. REGISTER NOW Building upon the exponential advancements in Deep Learning, Generative AI has attained mastery in Natural Language Processing.

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Robot Writers AI

JULY 28, 2024

ChatGPT-Maker Releases New Bargain Version OpenAI has released a new chatbot that’s almost as good as its flagship AI engine — ChatGPT 4o — and much cheaper to run. Dubbed “ChatGPT 4o Mini,” the new AI engine is free-to-use on a limited basis to anyone visiting the ChatGPT Web site.

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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.

Data Science 52

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Unite.AI

JUNE 24, 2024

Because mathematicians tend to favor elegant solutions over complex machinery, I’ve always tried to emphasize simplicity when applying machine learning to business problems. For software engineers, the prompt is a function name or the docs, but for data engineers there’s also the data. Learn by doing.

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Pickl AI

JULY 10, 2024

Additionally, both AI and ML require large amounts of data to train and refine their models, and they often use similar tools and techniques, such as neural networks and deep learning. Key Concepts and Technologies in the Field Several key concepts and technologies underpin AI and ML. Course Content: 42.5

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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.

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Pickl AI

SEPTEMBER 23, 2024

AI, particularly Machine Learning and Deep Learning uses these insights to develop intelligent models that can predict outcomes, automate processes, and adapt to new information. Deep Learning: Advanced neural networks drive Deep Learning , allowing AI to process vast amounts of data and recognise complex patterns.

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Pickl AI

JULY 14, 2023

Big Data and Deep Learning (2010s-2020s): The availability of massive amounts of data and increased computational power led to the rise of Big Data analytics. Deep Learning, a subfield of ML, gained attention with the development of deep neural networks.

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Dlabs.ai

AUGUST 31, 2021

And you can expect them to cover topics as far-flung as business intelligence, machine learning, deep learning, AI algorithms, virtual assistants, and chatbots. Days one and two focus on conferences , with attendees able to pick from four tracks, including machine learning, data, cloud and streaming, and varia.

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