Data Phoenix Digest is a collection of the best and latest articles, papers, courses, interviews, podcasts, videos, datasets, events, books, and jobs on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Science, Robotics and other aspects of Artificial Intelligence.
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.
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.
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.
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.
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.
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.
Data Phoenix's upcoming webinars about Large Language Models and MLOps, using MLflow AI Gateway and Llama 2 to build Generative AI apps, building a modern ML platform with Ray, tracking anything with decoupled video segmentation, LERF, TADA, courses, and more.
Gorilla: LLM connected with massive APIs, lessons learned from building a managed RAG solution, LLM monitoring and observability, fine-tuning Llama 2, building LLM applications for production, framework for autonomous language agents, LEDITS, RT-2, DragDiffusion, ConsistentNeRF, MagicEdit, and more.
Best practices for building LLM-based applications, pandas for time series, use Stable Diffusion XL with Amazon SageMaker JumpStart, training Diffusion models with Reinforcement Learning, AI / ML / LLM / Transformer models timeline and list, GigaGAN, FABRIC, AnimateDiff, AutoRecon, and more.
Webinar "LlamaIndex: How to use LLMs to Interface with Multiple Data Sources", running Llama 2 on CPU inference locally for document Q&A, different ways of training LLMs, LangChain + Streamlit + Llama, Animate-A-Story, DS-Fusion, CoTracker, OpenAssistant Conversations, Zip-NeRF, and more.
New AI events calendar, webinars (multilingual semantic search, rise in the use of synthetic data for regulated industries, LlamaIndex: how to use LLMs to Interface with multiple data sources), accelerating stable diffusion Inference, introduction to mypy, Llama 2, MIS-FM, LLaMA-Adapter, and more.
Upcoming Data Phoenix community webinars: LLM evaluations, multilingual semantic search, rise in the use of synthetic data for regulated industries, how to use LLMs to interface with multiple data sources, best practices for building LLM-based applications, leveraging LLMs for enterprise usage.