11 тысяч подписчиков
170 видео
Computer Vision with Transformers on Amazon SageMaker
Generative AI: PEFT & RLHF, Intelligent Doc Processing, RL with Ray & SageMaker
Pipelines with LineaPy + JAX/Ray/NVIDIA + SageMaker Data Wrangler with MLOps
Reduce Cost and Increase Performance by Pruning Deep Learning Models
Nvidia GTC 2024 Recap + Generative AI Live Demo w/ Nvidia Jetson Edge GPU Device + Nvidia H200, B200
Optimize + Deploy Distributed Tensorflow, Spark, and Scikit-Learn Models on GPUs
AWS Reinvent 2021 Recap + DataOps Lakehouse Automation with Amazon Redshift and Apache Airflow
Advanced Apache Spark and TensorFlow Workshop - Chris Fregly - Seattle - July 30 2016 - Part 1 of 6
All New Generative AI Launches at AWS reInvent 2023 in Las Vegas!!
Highlights from 2 new DeepLearning.AI courses: AI4Good and Generative AI with LLMs!
LangChain + Amazon Bedrock + Kubernetes = RAG-based SaaS Implementation
LangChain update by Harrison Chase (CEO of LangChain) + Quantization + Fully Sharded Data Parallel
Databricks Data + AI Summit 2024 Highlights - LLM Performance, Tracing, Debugging, SQL
From RLHF with PPO/DPO to ORPO + How to build ORPO on Trainium/Neuron SDK
Dynamic retrieval-augmented generation (RAG) with short-term memory + Detecting AI-Generated Text
Generative AI: PEFT and RLHF workflows + Polars for blazing-fast dataframes in Ray and beyond
Automate Your AI/ML Workflows with SageMaker Pipelines
White House Report: Promoting Memory Safe Programming from C++ to Rust
Anthropic 2024 Updates including Claude 3 + GenAI Observability and LLM Evaluation with Truera
Transform Features, Detect, Bias, Analyze Feature Importance with Apache Spark and Amazon SageMaker
Retrieval-Augmented Generation (RAG) using LangChain and Pinecone - The RAG Special Episode
Serverless TensorFlow on Kubernetes + Solving Alpha Go/Zero with TensorFlow - San Francisco
Streaming Kafka + Apache Beam + Flink + TensorFlow : Advanced Spark TensorFlow Meetup SF, Mar 2016
AWS Orbit Workbench (Open Source) at HRS, Amazon EMR Serverless, EMR Studio, and Kale for Kubeflow
Generative AI Use Case Playground Deep-Dive with Amazon SageMaker + Amazon DataZone and Data Mesh
ScaleAI Driverless Data Wrangling + Hyper-personalized Recommendations + NLP Inference Optimizations
Quantum Artificial General Intelligence (AGI) + Multi-Modal Chatbot + Karini GenAI SaaS Startup!
Secure Machine Learning on AWS
PyTorch + TensorFlow + KubeFlow + RedisAI + Streams - Advanced Spark and TensorFlow Meetup May 25
Advanced RAG by Jay Alammar (Cohere) + Parameter-Efficient Fine-Tuning (PEFT)
What's new with PyTorch 2.0 + Prompt chaining for large language models (LLMs) and Generative AI
Blur faces with SageMaker and NVIDIA Triton + Ultra-fast PyTorch data loading from Amazon S3
Introduction to Transformers and BERT on Amazon SageMaker
Data Science on AWS - Workshop and O'Reilly Book - Feb 20 2021
Managed Kubeflow + Managed MLflow + Data Mesh architectures on AWS
[WORKSHOP] Generative AI and Large Language Models: Fine-tuning with SageMaker + PEFT + RLHF + PPO
Disaster Response with ML and SageMaker Studio Lab
Continuously Train & Deploy Spark ML and Tensorflow AI Models from Jupyter Notebook to Production
PipelineAI: High Performance Distributed TensorFlow AI + GPU + Model Optimizing Predictions
AWS ML Dev Day - End-to-End Amazon SageMaker Pipeline with BERT - June 2021
Data Science on AWS - Workshop - May 2021
Pre-train Mixtral MoE model on SageMaker HyperPod + SLURM + Fine-Tuning + Continued Pre-Training
Nvidia GTC 2025 Recap + PyTorch Model Tuning +AI Systems Performance Engineering Tips
AI-Powered GPU Kernel Optimization(Mako.dev) + Distributed PyTorch with nbdistributed (Hugging Face)
Multi-Modal RAG w/ Milvus + Multi-Agent Optimization w/ DSPy + LLM Distillation
Deep-dive on BMW's Cloud Data Hub and Redshift Serverless!!
Data Science on AWS Monthly Webinar Dec 2020: New Launches from reInvent 2020 - SageMaker Pipelines
Hands-on KubeFlow + Keras/TensorFlow 2.0 + TFX + K8s + PyTorch + XGBoost + Airflow + MLflow + Spark
Research to Production at Amazon Scale With PyTorch + Generative AI in action
Using open source *Delta Lake* and *dbt* in your ML data pipelines [Demos + Webinar]
