I recently attended H2O.ai’s Singapore GenAI Day, a fantastic event showcasing their latest contributions to GenAI. Highlights included:
-
H2O and GenAI Keynote: Insights and inspiration from Sri Satish Ambati, CEO and founder.
-
Foundations of GenAI Ecosystems: Shivam Bansal comprehensively covered everything from transformers to LLM guardrails.
-
LLM + RAG Lab: We all created our personal GenAI chatbot from our CVs using h2oGPTe with Llama2 and RAG, led by Chun Ming Lee.
-
Building GenAI Apps: Genevieve Richards led the workshop on developing a web app using Wave Studio which integrated the previous model.
-
LLM Fine-Tuning: Vishal Sharma, PHD’s walked through LLM Studio for model fine-tuning and seamless integration with HuggingFace.
-
Data Preparation and Evaluation: Timothy CL Lam demonstrated LLM DataStudio and LLM Eval for efficient data preparation and model comparison.
H2O Founder and CEO, Sri, delivering the GenAI keynote
The standout tools for me were LLM Studio for practical fine-tuning and LLM Eval for model assessment, both open-source. The upcoming RAG evaluation release is something I’m looking forward to, enhancing QA systems for real-world production. Excited to see how H2O’s innovations continue to shape the GenAI ecosystem.