AI Briefing#machine-learning
The latest AI and developer news about #machine-learning, with the original source and a short summary.
The latest AI and developer news about #machine-learning, with the original source and a short summary.
KakaoMap shortened the development time for its review image classification model and improved spam classification accuracy by applying CLIP-based pre-classification and OOD filtering.
Google has unveiled Gemma 2, its next-generation open LLM with significantly improved performance and efficiency.
Building high-quality AI models requires data relevance, comprehensiveness, timeliness, and bias mitigation.
By introducing a method that learns directly from data without distillation, the generation quality of the Consistency Model has been significantly improved.
At Google Cloud Next 2024, an AI-based cloud tech stack centered on Gemini was unveiled.
Devsisters developed an evaluation metric that objectively measures stage fun by leveraging data from a reinforcement learning-based PuzzleBot.
This guide explains in detail how to fine-tune embedding models using the new training approach introduced in Sentence Transformers v3.0.
OpenAI announced that it is developing **Media Manager**, a tool that will allow creators to manage permissions for the use of their content.
Zama's Concrete ML enables Fully Homomorphic Encryption (FHE)-based privacy-preserving inference on Hugging Face Endpoints.
This defines the concept of Explainable AI (XAI) and introduces use cases for improving the performance and user experience of Computer Vision and NLP models.
OpenAI has disclosed the results and future plans of a grant program that supported 10 teams to design AI governance.
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By separating tagging logic from storage and adding a write buffer, updates were reduced by 67%.
KakaoBank introduced ML models and a real-time pipeline to overcome the limitations of its existing Rule-based FDS.
Gradio-Lite has been released, allowing Gradio apps to run directly in the browser using Pyodide without any server infrastructure.
Explains the principles of 3D Gaussian Splatting, which renders photorealistic 3D scenes in real time.
Coupang's ML Platform standardizes everything from notebooks to deployment to make ML development and operations fast.
Fetch optimized its ML pipeline using SageMaker and Hugging Face, reducing latency by 50% and increasing accuracy by 200%.
Hugging Face automatically detects and updates language metadata for datasets using machine learning.
Hugging Face published five policy recommendations to ensure the EU AI Act does not hinder open-source ML development.
Google is recruiting 500 participants for the 2023 4th Machine Learning Bootcamp, offering hands-on training and hiring opportunities.
Kakao presented six sessions on topics including cloud, ML, and anomaly detection, and engaged with participants via Open Chat.
HuggingFace has announced a new content policy for the responsible development of AI models and datasets.
Elixir-based Livebook notebooks can now be deployed as apps on Hugging Face Spaces.