Data Phoenix Digest - ISSUE 7.2024
Explore recordings of all Data Phoenix past webinars and AI highlights of the latest week.
Data Phoenix Digest
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.
Data Phoenix Digest - ISSUE 6.2024
AI Index Report, Llama 3, Idefics 2, Qdrant Hybrid Cloud, Deploying LLMs Into Production Using TensorRT LLM, Neural Network Diffusion, Intro to DSPy, LLM Evaluation at Scale with the NeurIPS Large Language Model Efficiency Challenge, T-RAG, Direct-a-Video, EMO, DistriFusion and more.
Data Phoenix Digest - ISSUE 5.2024
Latest AI News, Write for Data Phoenix, Milestones in Speaker Recognition, GNN in TensorFlow, Building an Advanced RAG System on Your Computer, Unlocking LLM’s Potential with RAG, Transformers from Scratch, RingAttention, InseRF, MagicVideo-V2, En3D and more.
Data Phoenix Digest - ISSUE 4.2024
Latest AI News, Evaluating LLM Models for Production Systems (Methods and Practices), Generating Images from Audio with ML, Sampling for Text Generation, YOLO-World, InstantID, MoE-LLaVA and more.
Data Phoenix Digest - ISSUE 3.2024
Latest AI News, Become a Speaker at Data Phoenix Webinars, Getting Started with Diffusers for Text-to-Image, Merge Large Language Models, Building an LLMOPs Pipeline, Dealing with MRI and Deep Learning with Python, Lumiere, Diffutoon, SEELE, and more.
Data Phoenix Digest - ISSUE 2.2024
Latest AI News, A Simple CI/CD Setup for ML Projects, Fine-tune and Deploy Llama 2 Models Cost-Effectively in Amazon SageMaker JumpStart with AWS Inferentia and AWS Trainium, A Comprehensive Overview of Gaussian Splatting, Self-Rewarding Language Models, PhotoMaker, 4DGen, SiLK, and more.
Data Phoenix Digest - ISSUE 1.2024
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.
Data Phoenix Digest - ISSUE 20.2023
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.
Data Phoenix Digest - ISSUE 19.2023
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.
Data Phoenix Digest - ISSUE 18.2023
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.
Data Phoenix Digest - ISSUE 17.2023
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.
Data Phoenix Digest - ISSUE 16.2023
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.