EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hugging Face Blog·4d ago·5 min read
The model that didn't exist, so you made it yourself
TL;DR
A series of custom AI models were developed using ML-intern, a tool that automates model training and evaluation. These models, including a citrus disease identifier and a pocket rewriter, achieved significant performance improvements at low costs.
✦ Why It Matters
Start using ML-intern today to create custom AI models tailored to your specific needs.
Key Takeaways
- Utilize ML-intern for rapid AI model development.
- Define clear project budgets and expectations upfront.
- Benchmark models against baseline metrics for validation.
- Explore existing datasets to enhance model training.
How It Works
ML-intern automates the model training process by taking detailed prompts that specify the desired model, dataset, and evaluation criteria. It begins with a zero-dollar budget, requiring user approval for any spending, which ensures cost control.
The tool conducts preliminary tests and benchmarks before full training, allowing for iterative improvements based on feedback.