Synthetic Data Generation

22 posts · 14 sources

+6

AI EngineerYouTube1w

Lessons from Generating 12 Trillion Synthetic Tokens — Bogdan Gaza, DatologyAI

AI EngineerYouTube3w

The Best Models Still Reason Like Toddlers — Andrew Dai, Elorian

AtlassianBlog3w

How Atlassian built a scalable synthetic data engine

Shield AiBlog3w

Defense Autonomy Needs to Train, like Humans, In Simulation

LambdaBlog4w

OpenResearcher: a reproducible and scalable pipeline for training deep research agents

NVIDIABlog31 Aug

Scale AV Perception Across Vehicle Platforms with NVIDIA Omniverse NuRec

HarveyBlog14 Aug

Training Frontier Review Table Models With Applied Compute

Hugging FaceBlog14 Aug

AutoSynthData: Generating Training Data for Enterprise Agents

Together AIBlog29 Jul

ThunderAgent: 2x Faster Agentic Inference for Synthetic Data Generation at Scale

NVIDIABlog20 Jul

Integrate NVIDIA Omniverse RTX Sensor Simulation Into Existing Apps

NVIDIABlog9 Jul

Synthetic Data Generation for Financial AI Research with NVIDIA NeMo

NVIDIABlog9 Jun

Evaluate Clinical ASR Models Faster with Agent Skills and NVIDIA Nemotron Speech

NVIDIABlog22 May

Synthesize Realistic 3D Medical Images at Scale to Ship Pre‑Trained Models

CursorBlog18 May

Introducing Composer 2.5

Together AIBlog23 Feb

How speech models fail where it matters the most and what to do about it

BasetenBlog5 Nov

Purpose-built LLMs for dental note-taking

GrabBlog4 Nov

How we built a custom vision LLM to improve document processing at Grab

CerebrasBlog27 Oct

Cerebras

CerebrasBlog20 Mar

Extending LLM context with 99% less training tokens

CerebrasBlog4 Mar

Introducing DocChat: GPT-4 Level Conversational QA Trained In a Few Hours