This post describes four projects that share a common theme of enhancing or using generative models, a branch of unsupervised learning techniques in machine learning. In addition to describing our work, this post will tell you a bit more about generative models: what they are, why they are important, and where they might be going.
Recommended
Simplifying, stabilizing, and scaling continuous-time consistency modelsOpenai Language models are few-shot learnersOpenai Operation "Doppelganger": Russian influence activity targeting UkraineOpenai Everyday work with ChatGPT WorkOpenai Romance scams: AI-enabled romance scam workflowsOpenai Will Hurd joins OpenAI’s board of directorsOpenai
10 best AI observability tools for monitoring and evaluating agents in 2026Mintlify
New Spanish and Turkish Language Models and Updated General Models - Deepgram Blog ⚡️Deepgram
AI frameworks: Definition, types, and how to chooseZapier
Transform and Future-Proof Your Architecture with MACHThenewstack
Discovered Stacks: One Place for All Your InfrastructurePulumi
How Hunch supercharged AI workflows with Modal SandboxesModal
Anthropic integration with Modal brings scalable compute to Claude ScienceModal
Revolutionizing Life Science and Healthcare with Generative AI - CerebrasCerebras
Cerebras Systems Announces Filing of Registration Statement for Proposed Initial Public OfferingCerebras
Introducing DocChat: GPT-4 Level Conversational QA Trained In a Few Hours - CerebrasCerebras
Cerebras Systems Enables GPU-Impossible™ Long Sequence Lengths Improving Accuracy in NaturalCerebras
Cerebras Announces New Board Members and Chief Financial Officer - CerebrasCerebras
How to Run Hugging Face Models Programmatically Using Ollama and TestcontainersDocker
API docs with Git integration: best platforms and workflows in 2026Mintlify
