Galileo & Google Cloud: Evaluating GenAI Applications
Blog post from Galileo
Google Cloud has announced Galileo, an algorithm-powered evaluation, experimentation, and observability platform that helps build trustworthy AI applications. The platform provides specialized metrics for evaluating LLM inputs and outputs, addressing the limitations of traditional metrics such as F1 score, precision, and recall. It also offers a suite of LLM evaluation metrics to detect hallucinations in LLM output, both with and without RAG (LLM Factuality). Galileo's platform is designed to accelerate generative AI application development while mitigating risks of hallucinations and low-quality outputs. It integrates seamlessly with Google Cloud Platform's managed services, including Vertex AI, to provide a comprehensive solution for building generative AI applications.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 20 | 2,593 | 281 | 107 | +38% |
| Observability | 8 | 1,257 | 229 | 79 | +14% |
| AI Guardrails | 4 | 73 | 36 | 23 | +66% |
| Vector Search | 4 | 1,692 | 211 | 78 | +87% |
| AI Model Fine-tuning | 3 | 423 | 116 | 63 | +16% |
| RAG | 2 | 1,360 | 163 | 55 | +97% |
| Kubernetes | 1 | 1,735 | 182 | 74 | +40% |
| Real-time | 1 | 2,578 | 595 | 180 | +16% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.