AWS Machine Learning Blog

FEBRUARY 21, 2025

We use DSPy (Declarative Self-improving Python) to demonstrate the workflow of Retrieval Augmented Generation (RAG) optimization, LLM fine-tuning and evaluation, and human preference alignment for performance improvement. Examples are similar to Python dictionaries but with added utilities such as the dspy.Prediction as a return value.

LLM 84

LLM AI AI Data Scientist 84

BAIR

APRIL 6, 2023

This approach is known as “Fleet Learning,” a term popularized by Elon Musk in 2016 press releases about Tesla Autopilot and used in press communications by Toyota Research Institute , Wayve AI , and others. Furthermore, due to advances in cloud robotics , the fleet can offload data, memory, and computation (e.g.,

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AWS Machine Learning Blog

NOVEMBER 22, 2023

The task involved writing Python code to read data, transform it, and then visualize it in an interesting map. Read and summarize the data To give the agent context about the dataset, we prompt Claude 2 to write Python code that reads the data and provides a summary relevant to our task. The full list is available in the prompts.py

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Generative AI Python Data Scientist Large Language Models 117

Towards AI

AUGUST 8, 2024

It can also be used in a variety of languages, such as Python, C++, JavaScript, and Java. What is PyTorch PyTorch is an open-source deep learning framework developed by Facebook and released in 2016. Since python programmers found it easy to use, PyTorch gained popularity at a rapid rate.

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Deep Learning Neural Network Machine Learning Data Ingestion 105

ODSC - Open Data Science

FEBRUARY 20, 2023

He received the Ulf Grenander Prize from the American Mathematical Society in 2021, the IEEE John von Neumann Medal in 2020, the IJCAI Research Excellence Award in 2016, the David E. His research interests bridge the computational, statistical, cognitive, biological, and social sciences.

Data Science 96

Data Science Machine Learning ML Engineer Python 96

Explosion

OCTOBER 22, 2016

Install the dependencies Before you start, make sure you have the latest versions of Python and Node installed. using the Python package manager pip. Sat Oct 22 2016 17:36:14 GMT+0000 (UTC)] INFO Starting poly-socketio server on port: 6466, expecting 4 IO clients. We then install spaCy and Socket.IO CLI: 2.4.0, ORM: 3.24.3].

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NLP Python Natural Language Processing AI 52

Marktechpost

JULY 17, 2023

Like OpenCV, Tensorflow supports several languages, including Python, C, C++, Java, and JavaScript. Keras A Python-based open-source software package called Keras serves as an interface for the TensorFlow framework for machine learning. Python-based SimpleCV can run on various platforms, including Mac, Windows, and Linux.

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Computer Vision Neural Network Machine Learning Deep Learning 98

Mlearning.ai

JANUARY 27, 2023

How to read an image in Python using OpenCV — 2023 2. Rotating and Scaling Images using cv2 — a fun Python application — 2023 5. How to use mouse clicks to draw circles in Python using OpenCV — easy project — 2023 6. How to use mouse clicks to draw circles in Python using OpenCV — easy project — 2023 6.

Computer Vision 98

Computer Vision Deep Learning Python Neural Network 98

Viso.ai

DECEMBER 4, 2023

Compatibility: TensorFlow is compatible with many languages, such as C++, JavaScript, Python, C#, Ruby, and Swift. GPU Support: Originally, TensorFlow had only NVIDIA support for GPU and Python support for GPU programming, which is a drawback as there is a hike of other languages in deep learning.

Neural Network 98

Neural Network Deep Learning Python Machine Learning 98

Pickl AI

MAY 16, 2023

Python, Data Mining, Analytics and ML are one of the most preferred skills for a Data Scientist. For example, if you are a Data Scientist, then you should add keywords like Python, SQL, Machine Learning, Big Data and others. Expansive Hiring The IT and service sector is actively hiring Data Scientists. Wrapping it up !!!

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Data Scientist Data Science Python Machine Learning 52

Explosion

JANUARY 12, 2018

We founded Explosion in October 2016, so this was our first full calendar year in operation. In August 2016, Ines wrote a post on how AI developers could benefit from better tooling and more careful attention to interaction design. spaCy’s Machine Learning library for NLP in Python. Here’s what we got done. cython-blis ?

NLP 52

NLP Neural Network Machine Learning Python 52

Mlearning.ai

MAY 15, 2023

describe() count 9994 mean 2017-04-30 05:17:08.056834048 min 2015-01-03 00:00:00 25% 2016-05-23 00:00:00 50% 2017-06-26 00:00:00 75% 2018-05-14 00:00:00 max 2018-12-30 00:00:00 Name: Order Date, dtype: object Average sales per year df['year'] = df['Order Date'].apply(lambda Yearly average sales. Convert it into a graph.

Data Ingestion 52

Data Ingestion Data Science LLM OpenAI 52

Artificial Corner

JUNE 18, 2023

The DeepPavlov Library is implemented in Python and supports Python versions 3.6–3.9. Interaction with the models is possible either via the command-line interface (CLI), the application programming interface (API), or through Python pipelines. Please note that specific models — may have additional installation requirements.

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ChatGPT Natural Language Processing BERT NLP 105

Mlearning.ai

FEBRUARY 11, 2023

A Simple Step-to-Step Guide to Chi-Square Tests in Python Introduction In our last article , we used the t-test. Photo by Mikhail Nilov on Pixels Overview In this article, we will provide a step-to-step guide on how to perform Chi-Square tests in Python. 2016) Statistics in Plain English. We will accept the null hypothesis.

Categorization 52

Categorization Python Explainability ML 52

Towards AI

JULY 19, 2023

1030–1033, 2016. HaiMing, “Detection crack in image using Otsu method and multiple filtering in image processing techniques,” Optik-International Journal for Light and Electron Optics, vol. View at: Publisher Site | Google Scholar R. Adhikari, O. Moselhi, and A. 180–194, 2014.

Computer Vision 98

Computer Vision Deep Learning Categorization Algorithm 98

DataRobot Blog

JUNE 11, 2018

IBM Watson Studio has come a long way since I first tested IBM Data Science Experience in November 2016. by Jen Underwood. The new Watson Studio delivers a more collaborative, enterprise quality data. Read More.

Data Science 40

Data Science Python Artificial Intelligence Artificial Intelligence 40

Explosion

DECEMBER 30, 2021

Mar 29: Ines joined the at the German Python Podcast to talk about Natural Language Processing with spaCy. ? ✨ Aug 12: We released Prodigy v1.11 , which includes a bunch of new features, including a new installation process via pip and new wheels for Python 3.9 In this episode, Vincent showcased the project system of spaCy v3. ?

NLP 52

NLP Machine Learning Python Natural Language Processing 52

Mlearning.ai

JULY 9, 2023

Abstract Polars is a fast-growing open-source data frame library that is rapidly becoming the preferred choice for data scientists and data engineers in Python. It is available in multiple languages: Python, Rust, and NodeJS. If you are looking for a fast and intuitive data frame library for Python, then Polars is a great option.

Data Analysis 52

Data Analysis Python Data Scientist Explainability 52

Viso.ai

JANUARY 9, 2024

The vastly popular image processing tool OpenCV OpenCV has multiple interfaces like C++, Python, Java, and MATLAB, and it supports most operating systems, including Windows, Android, Linux, and Mac. Tensorflow, like OpenCV, also supports various languages like Python, C, C++, Java, or JavaScript.

Computer Vision 52

Computer Vision Deep Learning Neural Network Machine Learning 52

How to Learn Machine Learning

DECEMBER 4, 2022

In 2016, Google released an open-source software called AutoML. Some common coding languages include C++, Java, Python , and SQL. The bots can be trained to write code in multiple languages, including Java, Python, and JavaScript. One recent example of the usage of Ai is in the field of code writing.

Machine Learning 52

Machine Learning Artificial Intelligence Artificial Intelligence Neural Network 52

Mlearning.ai

APRIL 10, 2023

2016) Data Management : By allowing clustering to occur locally, edge devices in the network can enable near-real-time data analysis in order to make data-driven decisions Energy : Clustering methods have been known to be more energy efficient when it comes to data transmission and processing (Loganathan & Arumugan, 2021). 2016.2545384.

Algorithm 52

Algorithm Machine Learning Data Analysis Deep Learning 52

Bugra Akyildiz

JULY 13, 2024

In this repository, you can (1) easily build a plugin by writing python functions (2) use external ChatGPT-Plugins. 2016 ) with learned bias terms as opposed to RMSNorm ( Zhang & Sennrich, 2019 ). LR Schedulers : Wrap float learning rates in Tensors for compatibility with torch.compile. Normalization : LayerNorm ( Ba et al.,

Python 52

Python ChatGPT LLM Affective Computing 52

AWS Machine Learning Blog

APRIL 18, 2023

Solution overview In the following sections, we provide a step-by-step demonstration for fine-tuning an LLM for text generation tasks via both the JumpStart Studio UI and Python SDK. The Companys net income attributable to the Company for the year ended December 31, 2016 was $4,816,000, or $0.28

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Large Language Models NLP LLM Deep Learning 83

AWS Machine Learning Blog

NOVEMBER 21, 2023

python -m pip install -q amazon-textract-prettyprinter You have the option to format the text in markdown format, exclude text from within figures in the document, and exclude page header, footer, and page number extractions from the linearized output. At this event, SPIE member Light and Light-based Technologies (IYL 2015).

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Generative AI LLM AI AI 112

DataRobot Blog

MARCH 10, 2022

The “Fourth Industrial Revolution” was coined by Klaus Schwab of the World Economic Forum in 2016. Python is unarguably the most broadly used programming language throughout the data science community. Native Python Support for Snowpark.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Automation Auto-classification 52

Mlearning.ai

MARCH 22, 2023

It was so much easier when one just needed to know python, sci-kit learn, pandas, tensorflow, and pytorch. The number of AI applications and programming languages that one needs to know to stay competent has drastically increased. Google Apps Scripts is a combination of Javascript and html, the Google scripts scripting language (.gs)

Data Scientist 52

Data Scientist Python ML AI 52

AWS Machine Learning Blog

OCTOBER 10, 2023

For on-premises clients, the AWS CLI and AWS SDK for Python (Boto3) at clients automatically provide secure network connections between the FL server and clients. She is also the recipient of the Best Paper Award at IEEE NetSoft 2016, IEEE ICC 2011, ONDM 2010, and IEEE GLOBECOM 2005. He received his Ph.D. in cryptography from U.C.

ML 117

ML Algorithm Machine Learning Neural Network 117

Pickl AI

AUGUST 22, 2024

First released in 2016, it quickly gained traction due to its intuitive design and robust capabilities. Discover its dynamic computational graphs, ease of debugging, strong community support, and seamless integration with popular Python libraries for enhanced development.

Deep Learning 52

Deep Learning Neural Network Machine Learning Natural Language Processing 52

ODSC - Open Data Science

AUGUST 7, 2023

Their platform was developed for working with Spark and provides automated cluster management and Python-style notebooks. Scale AI Founded in 2016, Scale AI has one simple goal, and that’s to accelerate the development of AI applications and provide end-to-end data-centric solutions that manage the entire machine learning life cycle.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52

TheSequence

DECEMBER 13, 2023

My path to working in AI is somewhat unconventional and began when I was wrapping up a postdoc in theoretical particle physics around 2016. This was a great learning experience and taught me a lot about Python and XGBoost -- in those days, most Kaggle competitions were tabular!

LLM 64

LLM Natural Language Processing Machine Learning Deep Learning 64

Bugra Akyildiz

DECEMBER 10, 2023

To make this possible: DSPy provides composable and declarative modules for instructing LMs in a familiar Pythonic syntax. degree resolution, 13 pressure levels) pre-trained on ERA5 data from 1979 to 2017 and fine-tuned on HRES data from 2016 to 2021. All of these are expressed through modules that compose and learn.

Neural Network 52

Neural Network Prompt Engineering Prompt Engineer ChatGPT 52

Pickl AI

APRIL 18, 2023

lakhs by the end of 2021, up from 70,000 in 2016, as per a report by Great Learning, an ed-tech platform. Skill development for Data Analysis Technical Knowledge: Python, R, SQL, and SAS are just a few of the programming languages that a data analyst must be proficient in. The demand for data analysts in India is expected to reach 1.5

Data Analysis 52

Data Analysis Data Science Machine Learning Python 52

Viso.ai

OCTOBER 15, 2024

With the Ultralytics Python package and the Ultralytics HUB, engineers can already start using YOLOv11. Answer: Engineers can train the YOLO-11 model for object detection by using Python or CLI commands. First, they import the YOLO library in Python and then utilize the model.train() command.

Computer Vision 52

Computer Vision Convolutional Neural Networks Neural Network Python 52

Viso.ai

JULY 9, 2024

YOLOv2 Released in 2016, it could detect 9000+ object categories. YOLO v8 also features a Python package and CLI-based implementation, making it easy to use and develop. Here are the conclusions about YOLOv6: Usage: YOLOv6 is already in GitHub, so the users can implement YOLOv6 quickly through the CLI and Python IDE.

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Computer Vision Neural Network Python Algorithm 52

AWS Machine Learning Blog

FEBRUARY 28, 2023

When he’s not modernizing workloads for global enterprises, Yann plays piano, tinkers in React and Python, and regularly YouTubes about his cloud journey. Yann earned his Bachelors at The Juilliard School. Ramesh Dwarakanath is a Principal Solutions Architect at AWS based out of Boston, MA.

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ML Machine Learning Categorization NLP 90

Viso.ai

DECEMBER 17, 2024

After that, this framework has been officially opened to professional communities since 2016. It’s an open-source machine learning framework built using the Python programming language and Torch library. This is user-friendly and therefore preferred by most of the researchers who like Python style.

Deep Learning 52

Deep Learning Computer Vision Neural Network Artificial Intelligence 52

Viso.ai

FEBRUARY 27, 2024

YOLOv2 Released in 2016, it could detect 9000+ object categories. YOLO v8 also features a Python package and CLI-based implementation, making it easy to use and develop. Here are our first conclusions about YOLOv9: Ease-of-use: YOLOv9 is already in GitHub, so the users can implement YOLOv9 quickly through the CLI and Python IDE.

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Neural Network Computer Vision Convolutional Neural Networks Python 52