Gen AI Data Chain at Scale, RAG vs Fine Tuning, Feature Store Design at Constructor, Multimodal Chain-of-Thought Reasoning in Language Models, Build and Deploy ML Inference Applications from Scratch Using SageMaker, ReBotNet, BiomedGPT, and more.
This talk will discuss scaling ads ranking at Pinterest through machine learning algorithms and ML ecosystem innovations.
Learn how to overcome LLMOps challenges in pre- and post-production, build enterprise LLM infrastructure, and deliver measurable business value, including hands-on workshops and expert panel discussions. Register now for AI Forward 2023 — a FREE one-day virtual summit organised by Fiddler AI!
This talk will review how you can use Metal to give your LLM chatbots both short and long-term memory.
AI Forward 2023, Building Customized Computer Vision Applications with FiftyOne Plugins, From RAGs to Riches, Serving and Managing ML models with MLflow and Nvidia Triton Inference Server, TimeGPT, PACE, SAM-Med3D, Llemma, and more.
Accelerate SF will host a hackathon on November 4-5 for participants to solve challenges in the public sector. The event also boasts an impressive roster of judges and speakers. Winners will have a chance to meet with decision-makers and get cash prizes and API credits.
Data Phoenix's upcoming webinar about MLOps for Ads Ranking at Pinterest, Data Drift Monitoring, Interactive Fleet Learning, Effortlessly Build ML Apps with Hugging Face’s Docker Spaces, AnomalyGPT, LLaVA, MarioGPT, MarioGPT, and more.
This talk will discuss technical and business lessons learned from building a managed Retrieval Augmented Generation solution into Voiceflow.
Join the Data Phoenix webinar where Dmytro Spodarets and guest Jacob Marks (ML Engineer and Developer Evangelist at Voxel51) will discuss how you can unleash your creativity in the computer vision area and interact with data like never before using FiftyOne Plugins.
With everyone thinking that AI is the future, individuals, organizations, and enterprises seem to be scrambling to stay on top of the game. We present four recommendations to ensure that AI adoption works for your professional services business while avoiding mindless hype-driven adoption.
This talk will be about large language models for code generation.