Terraform Industries converts electricity and air into synthetic natural gas for the first time
The modern world depends on a vast network to extract, process, transport and ultimately consume hydrocarbons such as crude oil ...
Tag: Synthetic
Bitget Lists Ethena (ENA) Ethereum-Based Synthetic Dollar Protocol on Launchpool
(PRESS RELEASE – Victoria, Seychelles, April 1, 2024) Bitget, world leader cryptocurrency exchange and the company Web3, have announced the ...
Navigating the challenges and opportunities of synthetic voices
We recognize that generating discourse that resembles the voices of the people carries serious risks, which are especially important in ...
Hugging Face introduces Cosmopedia to create large-scale synthetic data for pre-training
Hiring human annotators was an expensive and time-consuming technique and was traditionally used to create data sets for supervised tuning ...
LLM2LLM: Innovative approach from researchers at UC Berkeley, ICSI and LBNL to boost the performance of large language models in low data regimes with synthetic data
Large language models (LLMs) are at the forefront of technological advances in natural language processing and mark a significant leap ...
Creating Synthetic User Research: Prompts from People and Autonomous Agents
The process begins with scaffolding autonomous agents using Autogen, a tool that simplifies the creation and orchestration of these digital ...
Synth2: Powering Visual Language Models with Synthetic Captions and Image Embeddings by Google DeepMind Researchers
VLMs are powerful tools for capturing visual and textual data, promising advances in tasks such as image captioning and visual ...
How to generate synthetic images for object detection tasks | by Dr. León Eversberg | March 2024
A step by step tutorial using Blender, Python and 3D AssetsImage created by the author.Not having enough training data is ...
SynthDST – All you need is synthetic data to track dialogue status in just a few shots
Learning in context with large language models (LLM) has emerged as a promising avenue of research in Dialog State Tracking ...
Synthetic data for machine learning
It's no secret that supervised machine learning models need to be trained on high-quality labeled data sets. However, collecting sufficient ...
