Towards AI

AUGUST 24, 2023

Thus, a student of AI also needs a healthy dose of skepticism [8]. Since this is an AI website, I will assume that most readers will have the following goals: You are interested in becoming an AI/ML engineer. You are interested in learning software engineering best practices [1][2].

Neural Network 98

Neural Network Software Engineer Algorithm Machine Learning 98

AWS Machine Learning Blog

FEBRUARY 11, 2025

These features enable AI researchers and developers in computer vision, image processing, and data-driven research to improve tasks that require detailed analysis segmentation across multiple fields. Building upon its predecessor , version 2.1 Meta SAM 2.1 On the endpoint details page, choose Delete. models today.

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Computer Vision ML Python Automation 81

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

AWS Machine Learning Blog

APRIL 29, 2024

Metaflow overview Metaflow was originally developed at Netflix to enable data scientists and ML engineers to build ML/AI systems quickly and deploy them on production-grade infrastructure. How Metaflow integrates with Trainium From a Metaflow developer perspective, using Trainium is similar to other accelerators.

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ML Python Data Scientist Machine Learning 123

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.

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Large Language Models LLM ML Engineer ML 65

Towards AI

FEBRUARY 20, 2025

Whats AI Weekly The demand for LLM Developers is growing rapidly, and because this field is so new, there are very few experts out there. But who exactly is an LLM developer, and how are they different from software developers and ML engineers? Keep an eye on this section, too we share cool opportunities every week!

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Neural Network Explainability LLM Software Development 79

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

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 Engineering Prompt Engineer ML ML Engineer 59

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

The MLOps Blog

NOVEMBER 14, 2023

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. Data scientists and ML engineers: Creating and training deep learning models is no easy feat.

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Deep Learning Neural Network Convolutional Neural Networks Data Scientist 111

AWS Machine Learning Blog

APRIL 26, 2023

The first is by using low-code or no-code ML services such as Amazon SageMaker Canvas , Amazon SageMaker Data Wrangler , Amazon SageMaker Autopilot , and Amazon SageMaker JumpStart to help data analysts prepare data, build models, and generate predictions. He has a background in software engineering and AI research.

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ML Machine Learning Data Science Data Drift 112

TheSequence

JULY 12, 2023

At Cruise, we noticed a wide gap between the complexity of cloud infrastructure, and the needs of the ML workforce. ML Engineers want to focus on writing Python logic, and visualizing the impact of their changes quickly. 💥 Miscellaneous – a set of rapid-fire questions What is your favorite area of AI research?

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ML Python Machine Learning Metadata 97

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

Marktechpost

JULY 19, 2023

Stakeholders such as ML engineers, designers, and domain experts must work together to identify a model’s expected and potential faults. Instead, ML engineers collaborate with domain experts and designers to describe a model’s expected capabilities before it is iterated and deployed.

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Machine Learning ML Python Metadata 52

TheSequence

MARCH 10, 2024

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). ai published a paper detailing thearchitecture behind the Yi family of models. Yi The team from 01.ai The mode achieved a remarkable 86.8%

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Chatbots ML LLM Computer Scientist 52

AWS Machine Learning Blog

MAY 9, 2024

Such a diverse team with AI/ML expertise may include roles such as: Product strategists – Make sure all products, features, and experiments are cohesive to the overall transformation strategy AI researchers – Employ experts in the field to drive innovation and explore cutting-edge techniques such as generative AI Data scientists and ML engineers – (..)

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TheSequence

MAY 24, 2023

Were there any research breakthroughs in StarCoder, or would you say it was more of a crafty ML engineering effort? 💥 Miscellaneous – a set of rapid-fire questions What is your favorite area of AI research outside of generative AI?

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Auto-complete ML Python Machine Learning 59

Bugra Akyildiz

MAY 14, 2023

The SK extensible programming model combines natural language semantic functions , traditional code native functions , and embeddings-based memory unlocking new potential and adding value to applications with AI.

Auto-classification 52

Auto-classification LLM ML Python 52

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. It is developed with the help of languages like Python, C++, and CUDA. Features Due to its hybrid front-end, it offers flexibility and speed. It is very fast and supports GPU.

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Machine Learning ML Neural Network Auto-classification 52

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.

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Neural Network Software Engineer Artificial Intelligence Artificial Intelligence 52

Snorkel AI

JUNE 9, 2023

He also described a near future where large companies will augment the performance of their finance and tax professionals with large language models, co-pilots, and AI agents.

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Large Language Models Data Scientist Machine Learning Computer Vision 52

Snorkel AI

JUNE 9, 2023

He also described a near future where large companies will augment the performance of their finance and tax professionals with large language models, co-pilots, and AI agents.

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52

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. Earning his PhD from the Chinese University of Hong Kong, He later joined Facebook AI Research.

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Convolutional Neural Networks Neural Network Computer Vision Deep Learning 52

AWS Machine Learning Blog

AUGUST 1, 2023

These models, developed by leading AI research organizations, offer a range of pre-trained language models optimized for various tasks, including text summarization. No ML engineering experience required. SageMaker JumpStart provides two types of foundation models: proprietary models and open-source models.

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ML Large Language Models NLP Machine Learning 91

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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AWS Machine Learning Blog

SEPTEMBER 18, 2024

By directly integrating with Amazon Managed Service for Prometheus and Amazon Managed Grafana and abstracting the management of hardware failures and job resumption, SageMaker HyperPod allows data scientists and ML engineers to focus on model development rather than infrastructure management.

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Auto-complete ML Generative AI Deep Learning 111

The MLOps Blog

AUGUST 11, 2023

At that point, the Data Scientists or ML Engineers become curious and start looking for such implementations. This innovative creation has the sole purpose of enhancing the training process of massive AI models.

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ML Machine Learning Data Ingestion Deep Learning 52

AWS Machine Learning Blog

DECEMBER 4, 2024

Available in SageMaker AI and SageMaker Unified Studio (preview) Data scientists and ML engineers can access these applications from Amazon SageMaker AI (formerly known as Amazon SageMaker) and from SageMaker Unified Studio. Comet has been trusted by enterprise customers and academic teams since 2017.

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