Building a Tree-Structured Parzen Estimator from Scratch (Kind Of) https://
bit.ly/3OnbsWp #AI #MachineLearning #DeepLearning #LLMs #DataScience
CODE
-
Building a Tree-Structured Parzen Estimator from Scratch
By
–
-
LinkedIn Page Parsing Challenges for AI Data Extraction
By
–
Yes, LinkedIn pages are quite hard to programmatically parse and extract. We’ll try to do a special handling of those URLs cc @victormustar
-
Code-First Culture Drives AI Success and Organizational Scale
By
–
Explore the power of a 'Code-First' culture for AI success in this enlightening piece by @DominoDataLab COO Thomas Robinson. Learn how to scale AI, overcome talent shortages, and secure your organization's future. #AI #Coding #Innovation https://
domino.buzz/3J2tzx6 -
Modular Visual Question Answering Framework Using Code Generation
By
–
Modular Visual Question Answering via Code Generation paper page: https://
huggingface.co/papers/2306.05
392
… present a framework that formulates visual question answering as modular code generation. In contrast to prior work on modular approaches to VQA, our approach requires no additional -
MLflow 2.4 Introduces Comprehensive LLMOps Evaluation Tools
By
–
Looking to do more with #LLMs? #MLflow 2.4 can help you get there. This release introduces a comprehensive set of #LLMOps tools for model evaluation: mlflow.evaluate() for language models, a new Artifact View, dataset tracking & more https://
bit.ly/45RrvC2 -
LoRA Implementation in Lit-Parrot with Analysis Coming Soon
By
–
Just implemented LoRA (
https://
github.com/Lightning-AI/l
it-parrot/pull/128
…) and may be able to tell more soon. (Stay tuned for more info next week. Have to get all my analyses organized and write that up properly before mixing up some numbers there. Probably no qlora, but some info on LoRA at least) -
Engineers’ Perspective on AI Development and Implementation
By
–
Maybe. But I see it playing out differently by talking to the engineers building these things.
-
Microsoft Launches 12-Week AI Curriculum for Beginners
By
–
microsoft/AI-For-Beginners: 12 Weeks, 24 Lessons, AI for All! Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 24-lesson curriculum all about Artificial Intelligence. https://
bit.ly/3PjSWyL -
Data-Centric AI for Document Intelligence and PDF Extraction
By
–
Excited about the upcoming session on "Leveraging Data-centric AI for Document Intelligence & PDF Extraction" with Ashwini Ramamoorthy, ML Engineer. Discover how to simplify extraction from complex pdf & richly formated documents and use LLMs to accelerate the process.
-
Add Made with Replit Badge to Your Website
By
–
5/ Made with Replit badge You can add a “Made with Replit” badge on any website you make by simply inserting this code snippet: