#United States #Generative AI #San Francisco #Galileo #NVIDIA NeMo

Galileo Integrates with NVIDIA NeMo for Generative AI Advancement

In a bold move to enhance the capabilities of generative AI, Galileo, a key player in the field of AI evaluation, recently announced its integration with NVIDIA NeMo™. This partnership aims to provide businesses with tools necessary for the continuous improvement of custom generative AI models, addressing a growing need as enterprises strive to leverage AI technology more effectively.

The Challenge for Enterprises

As more companies develop Generative AI applications, including chatbots and intelligent agents, they often encounter challenges in deploying and scaling these solutions. A significant hurdle is the unpredictable nature of outputs generated by Large Language Models (LLMs). Staying ahead in this rapidly evolving landscape requires continuous adaptation and an efficient testing framework. This is where the collaboration between Galileo and NVIDIA comes into play, offering a comprehensive data flywheel approach.

A Data Flywheel for Continuous Improvement

The integration between Galileo and NVIDIA NeMo enables organizations to create an AI data flywheel that is aimed at continuous testing and refinement. This system collects and curates feedback from user interactions, fostering a cycle of improvement for AI applications. With this method, AI teams can utilize the data gleaned from user interactions to refine their models through techniques such as fine-tuning, prompt engineering, and in-context learning, thus gaining a competitive edge in the market.

Galileo augments NVIDIA NeMo by offering customizable evaluators that boost the capabilities of AI applications. Their evaluators can determine if an AI agent utilizes appropriate tools, whether outputs from retrieval-augmented generation (RAG) are accurate or merely fabricated (‘hallucinations’), and much more. Each evaluation includes not only scoring but also actionable recommendations for enhancement, allowing teams to understand areas for improvement deeply.

Guardrails for Safety and Precision

Beyond effective evaluation, Galileo expands upon NVIDIA’s Guardrails. It introduces low-latency, low-cost models that act as a safety net, intercepting potentially harmful outputs before they reach users. This preventive layer ensures that applications remain within safe parameters while also enhancing overall trust in AI-driven systems, crucial for broader acceptance and implementation.

Expert Insights

Yash Sheth, COO and Co-founder of Galileo, stated, “NVIDIA NeMo provides a robust toolchain for complete generative AI development. Combining Galileo’s platform with NeMo accelerates a data flywheel that encompasses everything from data curation to the deployment of AI systems.” Sheth emphasized that this enhancement will give developers essential resources to identify optimal models quickly, fine-tune those models efficiently, and effectively address any deviations noted in real-world applications.

Santiago Pombo, NVIDIA’s Group Product Manager, echoed these sentiments, stating, “The integration with Galileo will empower customers to utilize superior datasets and metrics, catering to their specific needs while ensuring that they can scale their LLMs effectively and securely.” This joint effort focuses on instilling confidence among customers by delivering real-time observability and alert mechanisms to address any issues promptly.

Key Features of the Integration

1. Data Error Potential Analysis: Utilize Galileo’s Fine-Tune feature to enhance dataset quality targeting NeMo Customizer.
2. Custom Metrics & Test Sets: Galileo Evaluate provides benchmarks and debugging insights that complement NeMo Evaluator, facilitating detailed customization and optimization.
3. Robust Guardrails: Integration of NeMo Guardrails with Galileo Protect ensures AI applications are managed with high accuracy, reducing risks.

Availability and Future Prospects

The Galileo platform is currently available to users, with the full suite of integrations with NVIDIA NeMo set to launch in April 2025. This collaboration marks a pivotal step forward in the generative AI landscape, paving the way for more reliable and trustworthy AI applications across industries.

For further information and to explore their offerings, companies can visit Galileo's website to sign up for a demo.

About Galileo

Based in San Francisco, Galileo stands out as a premier platform for AI evaluations, utilizing Evaluation Foundation Models (EFMs) to support AI teams at every stage of development, from initial prototyping to full-scale production. Both Fortune 500 firms and emerging startups trust Galileo to enhance AI accuracy and build robust systems equipped with real-time guardrails. Explore more at galileo.ai.