NEWSLETTER
Learnings from a Machine Learning Engineer — Part 1: The Data
It is said that in order for a machine learning model to be successful, you need to have good data. ...
Tag: datasets
Stanford Researchers Introduce BIOMEDICA: A Scalable AI Framework to Advance Biomedical Models of Vision and Language with Large-Scale Multimodal Datasets
The development of VLM in the biomedical domain faces challenges due to the lack of large-scale, annotated, and publicly accessible ...
This AI whitepaper from the Data Provenance Initiative team highlights challenges in provenance, licensing, representation, and transparency of multimodal datasets for responsible development.
The advancement of artificial intelligence depends on the availability and quality of training data, particularly as multimodal core models gain ...
This AI paper presents SRDF: a self-refined data flywheel for high-quality vision and language navigation datasets
Vision and language navigation (VLN) combines visual perception with natural language understanding to guide agents through 3D environments. The goal ...
MOS-Bench: A comprehensive collection of datasets for training and evaluating Subjective Speech Quality Assessment (SSQA) models
A critical challenge in Subjective Speech Quality Assessment (SSQA) is allowing models to generalize across diverse and unseen speech domains. ...
A Guide to 400+ Categorized Large Language Model Datasets
You can find useful datasets on countless platforms—Kaggle, Paperwithcode, GitHub, and more. But what if I tell you there’s a ...
ConvKGYarn: Configurable and Scalable Conversational Knowledge Graph QA Datasets with Large Language Models
The rapid evolution of large language models (LLMs) and conversational assistants requires dynamic, scalable, and configurable conversational datasets for training ...
The Comprehensive Guide to Training and Running YOLOv8 Models on Custom Datasets | by Oliver Ma | Oct, 2024
Ultralytics’ cutting-edge YOLOv8 model is one of the best ways to tackle computer vision while minimizing hassle. It is the ...
KnowFormer: An innovative transformer-based model for efficient knowledge graph reasoning, addressing incompleteness and improving predictive accuracy on large-scale datasets
Knowledge graphs (KGs) are structured representations of facts consisting of entities and relationships between them. These graphs have become fundamental ...
Sharpen your open source LLMs with Lamini – Analytics Vidhya
Introduction Recently, with the rise of large language models and ai, we have seen countless advancements in natural language processing. ...
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