Marktechpost

OCTOBER 23, 2023

ExecuTorch is a pivotal step towards addressing the fragmentation prevailing within the on-device AI ecosystem. With a meticulously crafted design offering extension points for seamless third-party integration, this innovation accelerates the execution of machine learning (ML) models on specialized hardware. High-level components.

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ML ML Engineer Software Development Machine Learning 98

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 code ML algorithms from scratch.

Neural Network 98

Neural Network Software Engineer Algorithm Machine Learning 98

Marktechpost

JULY 19, 2023

In the actual world, machine learning (ML) systems can embed issues like societal prejudices and safety worries. From racial biases in pedestrian detection models to systematic misclassification of particular medical images, practitioners and researchers continually uncover substantial limitations and failures in state-of-the-art models.

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AWS Machine Learning Blog

APRIL 29, 2024

In 2024, however, organizations are using large language models (LLMs), which require relatively little focus on NLP, shifting research and development from modeling to the infrastructure needed to support LLM workflows. Owning the infrastructural control and knowhow to run workflows that power AI systems is a requirement.

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ML Python Data Scientist Machine Learning 116

Pickl AI

JANUARY 23, 2023

It is developed by Facebook’s AI Research Lab (FAIR) and authored by Adam Paszke, Sam Gross, Soumith Chintala, and Gregory Chanan. Theano Theano is one of the fastest and simplest ML libraries, and it was built on top of NumPy. Pros It’s very efficient to perform auto ML along with H2O. It is simple and effective.

Machine Learning 52

Machine Learning ML Neural Network Auto-classification 52

ODSC - Open Data Science

FEBRUARY 25, 2025

Topics Include: Agentic AI DesignPatterns LLMs & RAG forAgents Agent Architectures &Chaining Evaluating AI Agent Performance Building with LangChain and LlamaIndex Real-World Applications of Autonomous Agents Who Should Attend: Data Scientists, Developers, AI Architects, and ML Engineers seeking to build cutting-edge autonomous systems.

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Data Scientist Machine Learning Large Language Models ML Engineer 52

TheSequence

JULY 12, 2023

In 2018, I joined Cruise and cofounded the ML Infrastructure team there. We built many critical platform systems that enabled the ML teams to develop and ship models much faster, which contributed to the commercial launch of robotaxis in San Francisco in 2022. This required large end-to-end pipelines.

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ML Python Machine Learning Metadata 97

Towards AI

FEBRUARY 20, 2025

This week, we are introducing new frameworks through hands-on guides such as APDTFlow (addresses challenges with time series forecasting), NSGM (addresses variable selection and time-series network modeling), and MLFlow (streamlines ML workflows by tracking experiments, managing models, and more).

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The MLOps Blog

NOVEMBER 14, 2023

This is where visualizations in ML come in. Visualizing deep learning models can help us with several different objectives: Interpretability and explainability: The performance of deep learning models is, at times, staggering, even for seasoned data scientists and ML engineers. Which one is right for you depends on your goal.

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Towards AI

SEPTEMBER 22, 2023

The paper reveals that researchers face the same resource limitations as professionals in the industry, which is not surprising because model training is getting so expensive. The authors proposed strategies for how to do research with limited resources. Some people foresaw the emergence of prompt engineer as a new title.

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Prompt Engineer Prompt Engineering ML ML Engineer 59

Flipboard

JULY 17, 2023

Stochastic has a team of bright ML engineers, postdocs, and Harvard grad students focusing on optimizing and speeding up AI for LLMs. All Credit For This Research Goes To the Researchers on This Project. Check out the Github , Project and Reference.

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Large Language Models LLM ML Engineer ML 65

Chatbots Life

MAY 12, 2023

We will discuss how models such as ChatGPT will affect the work of software engineers and ML engineers. Will ChatGPT replace software engineers? Will ChatGPT replace ML Engineers? Will ChatGPT replace ML Engineers? But most companies don’t care about the research, they care about the results.

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ChatGPT Software Engineer NLP ML Engineer 90

TheSequence

MARCH 10, 2024

Join industry leaders from LangChain, Meta, and Visa for insights to master AI and ML in production. VIEW SPEAKER LINEUP Here’s a sneak peek of the agenda: LangChain Keynote: Hear from Lance Martin, an ML leader at LangChain, a leading orchestration framework for large language models (LLMs). Yi The team from 01.ai

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Chatbots ML LLM Computer Scientist 52

AWS Machine Learning Blog

SEPTEMBER 18, 2024

The compute clusters used in these scenarios are composed of more than thousands of AI accelerators such as GPUs or AWS Trainium and AWS Inferentia , custom machine learning (ML) chips designed by Amazon Web Services (AWS) to accelerate deep learning workloads in the cloud. Because you use p4de.24xlarge You can then take the easy-ssh.sh

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Auto-complete ML Generative AI Deep Learning 103

TheSequence

MAY 24, 2023

I originally did a master's degree in physics focusing on astrophysics, but around that time, I noticed the breakthroughs happening in ML so I decided to switch the focus of my studies towards ML. Were there any research breakthroughs in StarCoder, or would you say it was more of a crafty ML engineering effort?

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Auto-complete ML Python Machine Learning 59

AWS Machine Learning Blog

AUGUST 1, 2023

Artificial intelligence (AI) and machine learning (ML) models have shown great promise in addressing these challenges. Amazon SageMaker , a fully managed ML service, provides an ideal platform for hosting and implementing various AI/ML-based summarization models and approaches. It’s as easy as that!

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ML Large Language Models NLP Machine Learning 83

Dlabs.ai

OCTOBER 21, 2024

Why is it worth subscribing to this AI newsletter? Superhuman AI Frequency : Daily Best for: AI enthusiasts, entrepreneurs, and those interested in AI’s societal impact Content: AI advancements with a spotlight on cutting-edge technologies Do you want to explore the most exciting aspects of AI?

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Deep Learning AI AI Machine Learning 52

Bugra Akyildiz

MAY 14, 2023

Google built a no-code end to end ML based framework called Visual blocks and published a post on this. They describe a visual programming platform for rapid and iterative development of end-to-end ML-based multimedia applications. They have released the Visual Blocks for ML framework, along with a demo and Colab examples.

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Pickl AI

JULY 14, 2023

Significantly, McCarthy coined the term “Artificial Intelligence” and organized the Dartmouth Conference in 1956, which is considered the birth of AI as a field. Knowledge-Based Systems and Expert Systems (1960s-1970s): During this period, AI researchers focused on developing rule-based systems and expert systems.

Neural Network 52

Neural Network Software Engineer Artificial Intelligence Artificial Intelligence 52

Snorkel AI

JUNE 9, 2023

Accelerate ML Adoption by Addressing Hidden Needs Max Williams, AI platform product manager at Wells Fargo , discussed the challenges of achieving a return on investment in machine learning as well as the hidden needs an organization must address for ML to gain widespread adoption and deliver attractive returns.

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52

Snorkel AI

JUNE 9, 2023

Accelerate ML Adoption by Addressing Hidden Needs Max Williams, AI platform product manager at Wells Fargo , discussed the challenges of achieving a return on investment in machine learning as well as the hidden needs an organization must address for ML to gain widespread adoption and deliver attractive returns.

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52

Viso.ai

FEBRUARY 11, 2024

The developers of Detectron2 are Meta’s Facebook AI Research (FAIR) team, who have stated that “Our goal with Detectron2 is to support the wide range of cutting-edge object detection and segmentation models available today, but also to serve the ever-shifting landscape of cutting-edge research.”

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BAIR

MARCH 11, 2024

. --> Every year, the Berkeley Artificial Intelligence Research (BAIR) Lab graduates some of the most talented and innovative minds in artificial intelligence and machine learning. graduates have each expanded the frontiers of AI research and are now ready to embark on new adventures in academia, industry, and beyond.

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The MLOps Blog

AUGUST 11, 2023

There comes a time when every ML practitioner realizes that training a model in Jupyter Notebook is just one small part of the entire project. At that point, the Data Scientists or ML Engineers become curious and start looking for such implementations. What are ML pipeline architecture design patterns?

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ML Machine Learning Data Ingestion Deep Learning 52

BAIR

MARCH 11, 2024

. --> Every year, the Berkeley Artificial Intelligence Research (BAIR) Lab graduates some of the most talented and innovative minds in artificial intelligence and machine learning. graduates have each expanded the frontiers of AI research and are now ready to embark on new adventures in academia, industry, and beyond.

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Robotics Machine Learning Natural Language Processing Deep Learning 100

Unite.AI

JANUARY 13, 2025

Their new open-source framework, Agent Laboratory , is a complete reimagining of how scientific research can be accelerated through human-AI teamwork. After looking at numerous AI research frameworks, Agent Laboratory stands out for its practical approach.

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ML Engineer Automation AI Researcher AI Research 176

AWS Machine Learning Blog

DECEMBER 4, 2024

Our customers want a simple and secure way to find the best applications, integrate the selected applications into their machine learning (ML) and generative AI development environment, manage and scale their AI projects. This increases the time it takes for customers to go from data to insights.

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Viso.ai

DECEMBER 21, 2023

As we go down the list, we discuss the key contributions of every AI influencer. Each of these individuals serves as an inspiration for aspiring AI and ML engineers breaking into the field. His contributions to ML, deep learning , computer vision, and NLP underscore his influence in the rapidly evolving AI landscape.

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