Hacker News

JANUARY 9, 2024

We’ve had the ability to do global computations about solar eclipses for some time (actually since soon before the 2017 eclipse ). but with things like clustering). There’s one setup for interpreted languages like Python. Let’s start with Python. We’ve had ExternalEvaluate for evaluating Python code since 2018.

Python 181

Python Algorithm Machine Learning Machine Learning 181

Flipboard

NOVEMBER 24, 2023

This use case highlights how large language models (LLMs) are able to become a translator between human languages (English, Spanish, Arabic, and more) and machine interpretable languages (Python, Java, Scala, SQL, and so on) along with sophisticated internal reasoning. He currently is working on Generative AI for data integration.

Database 158

Database AWS ETL SQL 158

Explosion

AUGUST 3, 2017

In order to take full advantage of this strategy, Prodigy is provided as a Python library and command line utility, with a flexible web application. The components are wired togther into a recipe , by adding the @recipe decorator to any Python function. Recipes can start the web service by return a dictionary of components.

Supervised Learning 52

Supervised Learning Python Machine Learning Machine Learning 52

Mlearning.ai

DECEMBER 21, 2023

Code in python, java etc. MTEB Leaderboard at Hugging Face evaluates almost all available embedding models across seven use cases —  Classification, Clustering, Pair Classification, Reranking, Retrieval, Semantic Textual Similarity (STS) and Summarization. These sources can be - Websites & HTML pages Documents like word, pdf etc.

Database 94

Database AI AI Machine Learning 94

Mlearning.ai

MARCH 9, 2023

Automated algorithms for image segmentation have been developed based on various techniques, including clustering, thresholding, and machine learning (Arbeláez et al., We implemented the MBD approach using the Python programming language, with the scikit-learn and NetworkX libraries for feature selection and structure learning, respectively.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

The MLOps Blog

JUNE 5, 2023

It’s built on top of the transformer architecture that was released by Google in 2017, but GPT-3 and ChatGPT are sort of proprietary incarnations of that from OpenAI. Environments that can’t have a GPU – you can’t carry a cluster around in your phone or whatever it is, or wherever you are to do everything.

ML 52

ML ML Machine Learning Machine Learning 52

AWS Machine Learning Blog

NOVEMBER 6, 2024

The code artifacts are in Python. The explosion of data from cloud workloads, Kubernetes clusters, and distributed edge locations has overwhelmed conventional monitoring tools, leading to fragmented views and reactive operations that respond to issues after they occur. It’s 2017, 2017 Ford Fusion. You say the 10th?

AWS 117

AWS Machine Learning Machine Learning ML 117

PyImageSearch

MAY 1, 2023

Redmon and Farhadi (2017) published YOLOv2 at the CVPR Conference and improved the original model by incorporating batch normalization, anchor boxes, and dimension clusters. One good news is that YOLOv8 has a command line interface, so you do not need to run Python training and testing scripts. Python-3.9.16 Python-3.9.16

Deep Learning 107

Deep Learning Deep Learning Python Algorithm 107