A Whirlwind Tour of ML Model Serving Strategies, Evaluating RAG Applications with RAGAs, Mastering Customer Segmentation with LLM, Training XGBoost with MLflow Experiments and HyperOpt Tuning, Generative Powers of Ten, ProlificDreamer, PromptBench, PoseGPT, EdgeSAM, Material Palette, and more.
Join the Data Phoenix webinar, where Dmytro Spodarets and guest Daniel Lenton (CEO at Unify) will discuss the different kinds of decisions needed when deploying AI models in different contexts.
Join the Data Phoenix webinar, where Dmytro Spodarets and guest Philip Tannor (Co-founder and CEO of Deepchecks) will discuss evaluating LLM-based applications.
Evaluating LLM-based Apps and Mitigating Their Risks, Democratizing AI Deployment, Retrieval-Augmented Generation From Theory to LangChain Implementation, Serverless Compute for LLM, Accelerating PyTorch Training Workloads with FP8, Mustango, MEDITRON-70B, DemoFusion, and more.
Join the Data Phoenix webinar, where Dmytro Spodarets and guest Harpreet Sahota (Developer Relations Manager at Deci) will discuss the nuances of supervised fine-tuning, instruction tuning, and the powerful techniques that bridge the gap between model objectives and user-specific requirements.
How to Instruction Tune a Base Language Model; Transforming MLOps at DoorDash with ML Workbench; RAG with LangChain, Amazon SageMaker JumpStart, and MongoDB Atlas semantic search; LMQL — SQL for Language Models; Tracking Anything in High Quality; PMC-LLaMA, Text2Performer, and more.
Join the Data Phoenix webinar, where Dmytro Spodarets and guest Andrey Cheptsov (CEO and founder of dstack) will discuss using open-source LLMs for real-world purposes.
