Local synthetic data generation
You will have heard the famous quote “Data is the new oil” by British mathematician Clive Humby. It is the ...
Tag: Synthetic
Synthetic Control Sample for A/B Test Before and After | by Gustavo R. Santos | December 2024
Learn a simple way to use linear regression to create a synthetic control sample for your A/B testTest before and ...
Splunk Researchers Introduce MAG-V: A Multi-Agent Framework for Synthetic Data Generation and Reliable AI Trajectory Verification
Today, large language models (LLM) are being integrated with multi-agent systems, where multiple intelligent agents collaborate to achieve a unified ...
CodeFavor – A machine learning framework that trains pairwise preference models with synthetic code preferences generated from code evolution, such as commits and code critiques
Large language models (LLMs) have revolutionized software development by enabling code completion, generation of functional code from instructions, and complex ...
Fine-tune a BGE embedding model using synthetic data from Amazon Bedrock
Have you ever faced the challenge of obtaining high-quality data for fine-tuning your machine learning (ML) models? Generating synthetic data ...
Meet SynPO: A Self-Driven Paradigm Using Synthetic Preference Data for Model Alignment
Alignment with human preferences has led to significant progress in producing honest, safe, and useful responses from large language models ...
Evaluation of synthetic data. Evaluation of plausibility and usefulness… | by Aymeric Floyrac | October 2024
Evaluation of the plausibility and usefulness of the data we generate from real data.x?source=post_page-----c5833f6b2f15--------------------------------" rel="noopener follow">Synthetic data serves many purposes ...
UGround: A Universal GUI Visual Connection Model Developed Using Large-Scale Web-Based Synthetic Data
Graphical user interface (GUI) agents are crucial for automating interactions within digital environments, similar to how humans operate software using ...
Source2Synth: a new artificial intelligence technique for generating and curating synthetic data based on real data sources
Large language models (LLMs) have demonstrated impressive performance on tasks such as natural language processing, text generation, and text synthesis. ...
Stanford researchers present EntiGraph: a new machine learning method for generating synthetic data and improving the performance of language models in specialized domains
artificial intelligence (ai) has made great strides in recent years, especially with the development of large-scale language models. These models, ...
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