Chat with your Supabase Database using Natural language and Supercog
This article will teach you how to interact with your Supabase database using natural language through Supercog. Supercog is an […]
machinelearning
Recapping the Visual AI in Healthcare Meetup — September 19, 2024
We just wrapped up the September ‘24 Visual AI in Healthcare Meetup, and if you missed it or want to
Beware the Language-as-Fixed-Effect Fallacy: Rethinking Claims about GPT-4’s Capabilities
This is a Plain English Papers summary of a research paper called Beware the Language-as-Fixed-Effect Fallacy: Rethinking Claims about GPT-4’s
Unlocking language models’ potential through synthetic pretraining
This is a Plain English Papers summary of a research paper called Unlocking language models’ potential through synthetic pretraining. If
Boosting Diffusion Models with Data Manifold Constraints for Coherent Image Generation
This is a Plain English Papers summary of a research paper called Boosting Diffusion Models with Data Manifold Constraints for
computervision, genai, ishworsubedi, machinelearning
Seamless Background Removal with ISNET, SAM, and YOLOSegment Integration
Introduction In this blog, we will be covering advanced and seamless background removal techniques using three different architectures: ISNET, SAM,
Fair Royalties for Generative AI: The Shapley Royalty Share Framework
This is a Plain English Papers summary of a research paper called Fair Royalties for Generative AI: The Shapley Royalty
Efficient Parallelism for Training Massive Language Models: Seq1F1B Sequence-Level Pipeline
This is a Plain English Papers summary of a research paper called Efficient Parallelism for Training Massive Language Models: Seq1F1B
🔓 Unlocking the Power of Prompt Engineering with Amazon Bedrock’s Foundation Model 💡
Hello There!!!Called Sarvar, I am an Enterprise Architect, with years of experience working on cutting-edge technologies, I have honed my
Announcing Data Science in .NET with Polyglot Notebooks
I’m proud to share the completion and publication of my second technical book, Data Science in .NET with Polyglot Notebooks.