11 тысяч подписчиков
170 видео
Computer Vision with Transformers on Amazon SageMaker
AWS ML Dev Day - End-to-End Amazon SageMaker Pipeline with BERT - June 2021
TensorFlow 2.0 + Keras with Francesco Mosconi + Chris Fregly - PipelineAI Community Sync - Mar 2019
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!
Research to Production at Amazon Scale With PyTorch + Generative AI in action
Multi-Modal RAG - Segment Anything Model v2, ImageBind, Embeddings, Fine-Tuning
Advanced RAG by Jay Alammar (Cohere) + Parameter-Efficient Fine-Tuning (PEFT)
Generative AI, Large Language Models, Prompt Engineering, Reinforcement Learning, and Human Feedback
Data Science on AWS - Workshop - May 2021
Using open source *Delta Lake* and *dbt* in your ML data pipelines [Demos + Webinar]
[WORKSHOP] Generative AI and Large Language Models: Fine-tuning with SageMaker + PEFT + RLHF + PPO
Mistral AI Updates incl Mixtral 8x22B + OpenLLMetry Evaluation Optimization
New DeepLearning.ai Data Engineering Course + LLMs with Amazon EKS/Ray Serve + GPUs @ KubeCon 2024
PyTorch + TensorFlow + KubeFlow + RedisAI + Streams - Advanced Spark and TensorFlow Meetup May 25
Serverless AI in the Enterprise (by Gillian Armstrong) + Kubeflow Pipelines on AWS (by Antje Barth)
Multi-Modal RAG w/ Milvus + Multi-Agent Optimization w/ DSPy + LLM Distillation
Protein Sequence Classification using BERT, Transformers, and Natural Language Processing
Apple Reveals Foundation Model Details: Datasets, Frameworks, and Evaluation Benchmarks!
LangChain + RAG + Cassandra Vector Store + Multimodal Visual Question Answer
Pre-train Mixtral MoE model on SageMaker HyperPod + SLURM + Fine-Tuning + Continued Pre-Training
Data Science on AWS Workshop - Apr 15, 2021
Distributed GPU Training using Hugging Face Transformers + Accelerate ML with SageMaker QuickStart!
Scaling Pandas with Ray and Modin + Alexa AI: Kubernetes and DeepSpeed Zero
Containerized Architectures for Deep Learning using TensorFlow, Keras, Kubernetes, and KubeFlow