Before you can use LangChain with your data, you first need to clean it up. That's where an integration with @UnstructuredIO comes in Blog Post: https://
blog.langchain.dev/langchain-unst
ructured/
… We'll use Unstructured to power a lot of our document loaders: https://
langchain.readthedocs.io/en/latest/modu
les/document_loaders.html
…
AI
-
LangChain Unstructured Integration for Data Cleaning
By
–
-
Groq Hiring Creative Problem Solvers for Machine Learning Systems
By
–
We're looking for creative problem solvers to help us build the next generation of #MachineLearning Systems! Apply here https://
groq.com/careers/?gh_ji
d=5090081003
… -
Full-Stack Data Scientists Becoming Outdated as Field Matures
By
–
A jack of all trades is a master of none. As data science matures, full-stack data scientists are becoming outdated. The only way to scale #datascience is by supporting a wide range of data scientists. Learn more from Kjell Carlsson in @ITProToday
: https://
domino.buzz/3JD03iI -
Complex Dylib Architecture Challenges in Xcode Development
By
–
„It has dozens of dynamically loaded libraries (dylibs), and so many classes that they can’t be loaded into Xcode at once.“
-
Critical Questions and Strategies for ML Dataset Lifecycle Management
By
–
The guide offers questions, suggestions, strategies, and resources while working with ML datasets at every phase of their lifecycle, and shows the benefits of working critically with them. It gives you the questions that we've found helpful in our work with large ML datasets.
-
Field Guide to Critical Dataset Navigation and Classification
By
–
The field guide aims to help you navigate the complexities of datasets, and explore the implications of what you choose, build, and design. It invites you to mess with these messy forms and to approach any logic of classification with a critical eye.
-
Critical Field Guide for Working With Machine Learning Datasets Released
By
–
NEW: Today we release a 'Critical Field Guide for Working With Machine Learning Datasets' by @SarahCiston
. It's a practical guide to navigating datasets. If you're an engineer, designer, journalist artist, or a student who uses datasets, it's here for you. -
Breaking down barriers to education access and resource sharing
By
–
Appreciate it Knut @JagersbergKnut Many thanks indeed, so important to break down barriers to access with learning and sharing resources such as this. Thanks for sharing, much appreciated, S #SDGs #education
-
Accessible Educational Resources for Sustainable Development Goals
By
–
Absolute pleasure Kate, me too! Great accessible resources here for good! Many thanks Sally #SDGs #education
-
Polygon Annotation with CVAT: Quick 3-Minute Guide
By
–
🚀Polygon annotation using CVAT in 3 minutes!
— Satya Mallick (@LearnOpenCV) 6 février 2023
In this video, we export the dataset as segmentation mask images or in Cocoa Jason format.https://t.co/mYYWt65YhI #cvat #polygonannotation #annotation #dataset #cocoajasonformat #ai #computervision #deeplearning #machinelearning pic.twitter.com/usGeZFcpcTPolygon annotation using CVAT in 3 minutes!
In this video, we export the dataset as segmentation mask images or in Cocoa Jason format. https://
youtube.com/watch?v=YL0l2M
YUFC0
… #cvat #polygonannotation #annotation #dataset #cocoajasonformat #ai #computervision #deeplearning #machinelearning