Most Data Annotation Bpos Are Missing the Point Amid the GPT LLMS Wave
Author(s): Puneet Jindal Originally published on Towards AI. The humans-in-the-loop annotation will be reduced to a minimal review effort guided by AI! There is a lot of hype around What AI can do. Amidst the hype, there is a real incremental outcome …
The AI Race for Industrial Cybersecurity
Author(s): Jorge Alcántara Barroso Originally published on Towards AI. State of the art, insights, and advice for the future AI in industrial cybersecurity is not a question. It will protect our critical infrastructures in an increasingly connected world. By learning from real-world …
How to Run Stable Diffusion 3X Faster at Lower Cost
Author(s): Towards AI Editorial Team Originally published on Towards AI. Available for Early Access on OctoML Compute Service on AWS This is a Sponsored Guest Post brought to you by OctoML. For a team of AI fanatics like us, it’s been …
Chat With Your Healthcare Documents: Build a Chatbot With ChatGPT and LangChain
Author(s): Sriram Parthasarathy Originally published on Towards AI. Interactively query your PDF documents and extract insights. Did you know that 80% of healthcare data remains unused and unstructured? Traditional applications that rely solely on structured data can only use 20% of the …
Prompt-Based Automated Data Labeling and Annotation
Author(s): Puneet Jindal Originally published on Towards AI. Generate your large training dataset in just less than an hour! What is the problem statement? 80% of the time goes in data preparation ……blah blah…. garbage in garbage out for AI model accuracy…..blah …
Meta’s DINOv2: The Game-Changing Computer Vision AI Model that Doesn’t Need Fine-Tuning
Author(s): Sriram Parthasarathy Originally published on Towards AI. Building disruptive Computer Vision applications with No Fine-Tuning Imagine a world where computer vision models could learn from any set of images without relying on labels or fine-tuning. Sounds futuristic, right? Well, Meta AI …
On Common Split for Training, Validation, and Test Sets in Machine Learning
Author(s): Barak Or, PhD Originally published on Towards AI. In this post, we deal with determining the appropriate ratio for training, validation, and test sets in small and large databases Background Splitting a dataset into training, validation, and test sets is a …
On Common Split for Training, Validation, and Test Sets in Machine Learning
Author(s): Barak Or, PhD Originally published on Towards AI. In this post, we deal with determining the appropriate ratio for training, validation, and test sets in small and large databases Background Splitting a dataset into training, validation, and test sets is a …
The AI Revolution: How Auto-GPT Unleashes a New Era of Automation and Creativity
Author(s): Sriram Parthasarathy Originally published on Towards AI. Uncover the Extraordinary Potential of Self-Prompting AI Models and Their Role in Shaping Our Future Envision a scenario where an AI-powered army works collaboratively to identify tasks and solve a given problem efficiently. Each …
Supercharge Your Productivity 11 AI-Powered Tools You Need to Try Today
Author(s): Noah Front End Developer Originally published on Towards AI. Image by Gerd Altmann from Pixabay 1.Browse AI — is a web scraping tool that allows non-coders to extract and monitor data from any website. It can train robots to scrape specific …
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