ODSC - Open Data Science

APRIL 19, 2023

Editor’s note: David Stephenson is a speaker for ODSC Europe this June 14th-15th. The first competency, company , is about getting to the point where our non-technical colleagues recognize us as valuable contributors. Subscribe to our weekly newsletter here and receive the latest news every Thursday.

Data Scientist 84

Data Scientist Data Science Explainability Machine Learning 84

Heartbeat

AUGUST 1, 2023

If your curiosity brought you here, stick around to see what CV looks like without deep learning. Scale-Invariant Feature Transform (SIFT) This is an algorithm created by David Lowe in 1999. We pay our contributors, and we don’t sell ads. If you’d like to contribute, head on over to our call for contributors.

Computer Vision 52

Computer Vision Deep Learning Neural Network Algorithm 52

Heartbeat

MAY 23, 2023

Edge computing in deep learning is a fascinating field with the potential to revolutionize many different sectors, from healthcare to transportation, and we’ll look at it here. If you’d like to read more on this, here are some few references that could come in handy: [1] Cao, K., We pay our contributors, and we don’t sell ads.

Deep Learning 52

Deep Learning Machine Learning AI AI 52

Heartbeat

OCTOBER 26, 2023

A straightforward API for all the language models Photo by David Clode on Unsplash Introduction to Language Models in LangChain In today’s digital age, language models have established their significance in various applications, from chatbots to content generation, and enhancing user experiences across platforms.

AI Engineer 52

AI Engineer LLM Machine Learning OpenAI 52

AWS Machine Learning Blog

NOVEMBER 8, 2023

This post is cowritten with Ming (Melvin) Qin, David Bericat and Brad Genereaux from NVIDIA. David Bericat is a product manager for Healthcare at NVIDIA, where he leads the Project MONAI Deploy working group to bring AI from research to clinical deployments. AWS and NVIDIA have come together to make this vision a reality. get("body").decode('UTF8')

Metadata 89

Metadata AI AI Python 89

Heartbeat

DECEMBER 8, 2023

Here are a few reasons why an agent needs tools: Access to external resources: Tools allow an agent to access and retrieve information from external sources, such as databases, APIs, or web scraping. You can find the available native tools here and look at the dictionary _EXTRA_OPTIONAL_TOOLS for the key of the tool. name, tools[0].description

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning LLM 52

Heartbeat

DECEMBER 14, 2023

Here are the main differences between an Agent with Memory and a Chain with Memory: Functionality: A Chain with Memory is designed to perform a specific task or sequence of actions, while an Agent with Memory is designed to engage in a conversation and provide context-aware responses. Based on the weather agency's 14-day forecast.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning Computer Scientist 52