IEEE

Synthetic Data Generation Using Large Language Models: Advances in Text and Code

Abstract: This survey reviews how large language models (LLMs) are transforming synthetic training data generation in both natural language and code domains. By producing artificial but task-relevant ...
2UrbanGirls on MSN

10 data collection techniques for NLP & LLM training

NLP and LLM teams often grow their training corpuses to improve model performance but they still do not always obtain ...
TMCnet

Apica Redefines Synthetic Monitoring for the Agentic AI Era

Apica introduces synthetic monitoring for agentic AI workflows, in Vanguard, its synthetic monitoring product, extending the synthetic monitoring heritage the company pioneered for enterprise digital ...
Business Line

LLM collapse: The danger of training LLMs on AI-generated data

https://www.thehindubusinessline.com/info-tech/llm-collapse-the-danger-of-training-llms-on-ai-generated-data/article71094267.ece Copy What happens when a new ...
VentureBeat

Monitoring LLM behavior: Drift, retries, and refusal patterns

Traditional software is predictable: Input A plus function B always equals output C. This determinism allows engineers to develop robust tests. On the other hand, generative AI is stochastic and ...
InfoWorld

27 questions to ask before choosing an LLM

Car buyers kick tires. Horse traders inspect the teeth. What should shoppers for large language models (LLMs) do? Here are 27 prescient questions that developers are asking before they adopt a ...
SiliconANGLE

LLM developer Mistral AI raises $830M in debt financing to add data center capacity

Mistral AI SAS today disclosed that it has raised $830 million in debt financing from a group of banks. The consortium included Bpifrance, BNP Paribas, Crédit Agricole CIB, HSBC, La Banque Postale, ...
TechCrunch

Mantis Biotech is making ‘digital twins’ of humans to help solve medicine’s data availability problem

Large language models trained on vast datasets could speed genomics research, streamline clinical documentation, improve real-time diagnostics, support clinical decision-making, accelerate drug ...
Slator

RWS’s TrainAI Team Benchmarks LLMs for Multilingual Synthetic Data

As AI models grow more capable, the bottleneck is shifting from model performance to deployment. Making systems reliable, safe, and useful in real-world settings increasingly depends on access to high ...
GitHub

NeMo Data Designer

Data Designer helps you create synthetic datasets that go beyond simple LLM prompting. Whether you need diverse statistical distributions, meaningful correlations between fields, or validated ...
Computer Weekly

LangGrant LEDGE: LLM enterprise database (orchestration) governance engine

The latest trends in software development from the Computer Weekly Application Developer Network. Database modernisation and synthetic data company LangGrant has launched LEDGE MCP server. This ...