Join the Data Phoenix webinar, where Dmytro Spodarets and guest Ramon Perez (Developer Advocate at Seldon) will discuss different machine learning deployment strategies available today for both traditional ML systems and Large Language Models.
Fine-tune a Mistral-7b model with Direct Preference Optimization, How to Detect Hallucinations in LLMs, Efficient Scaling of LLM Inference, Tracking Any Object Amodally, On Noisy Evaluation in Federated Hyperparameter Tuning, StreamDiffusion, AnyText, FlexGen, and more.
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.