01:23:29

GPUs @ KubeCon 2024 + New DeepLearning.ai Data Engineering Course + LLMs with Amazon EKS/Ray Serve

01:21:34

Quantum Artificial General Intelligence (AGI) + Multi-Modal Chatbot + Karini GenAI SaaS Startup!

00:46

SummarizeMe: Alpha Project Meeting

01:00:32

Hands-on with Devin.Al and Crew.AI + Text-to-Video GenAI Pipelines with Vikit.AI

02:13:20

Segment Anything Model 2 +Building XR Applications +Code-Savvy Assistants +Multi-Modal RAG Embedding

01:05:41

Multi-Modal RAG - Segment Anything Model v2, ImageBind, Embeddings, Fine-Tuning

01:24:37

Multi-Modal RAG w/ Milvus + Multi-Agent Optimization w/ DSPy + LLM Distillation

01:06:43

From RLHF with PPO/DPO to ORPO + How to build ORPO on Trainium/Neuron SDK

07:23

Databricks Data + AI Summit 2024 Highlights - LLM Performance, Tracing, Debugging, SQL

05:02

Apple Reveals Foundation Model Details: Datasets, Frameworks, and Evaluation Benchmarks!

01:08:11

Mistral AI Updates incl Mixtral 8x22B + OpenLLMetry Evaluation Optimization

01:02:06

Anthropic 2024 Updates including Claude 3 + GenAI Observability and LLM Evaluation​ with Truera

01:05:45

Nvidia GTC 2024 Recap + Generative AI Live Demo w/ Nvidia Jetson Edge GPU Device + Nvidia H200, B200

01:00:13

Advanced RAG by Jay Alammar (Cohere) + Parameter-Efficient Fine-Tuning (PEFT)

01:09:22

Pre-train Mixtral MoE model on SageMaker HyperPod + SLURM + Fine-Tuning + Continued Pre-Training

01:20:48

LangChain update by Harrison Chase (CEO of LangChain) + Quantization + Fully Sharded Data Parallel

01:17:22

LangChain + RAG + Cassandra Vector Store + Multimodal Visual Question Answer

01:17:09

LangChain + Amazon Bedrock + Kubernetes = RAG-based SaaS Implementation

01:01:51

Dynamic retrieval-augmented generation (RAG) with short-term memory + Detecting AI-Generated Text

01:11:34

Retrieval-Augmented Generation (RAG) using LangChain and Pinecone - The RAG Special Episode

01:12:45

Highlights from 2 new DeepLearning.AI courses: AI4Good and Generative AI with LLMs!

01:18:37

Generative AI: PEFT and RLHF workflows + Polars for blazing-fast dataframes in Ray and beyond

02:32:04

[WORKSHOP] Generative AI and Large Language Models: Fine-tuning with SageMaker + PEFT + RLHF + PPO

01:10:22

Generative AI: PEFT & RLHF, Intelligent Doc Processing, RL with Ray & SageMaker

01:14:46

Generative AI Use Case Playground Deep-Dive with Amazon SageMaker + Amazon DataZone and Data Mesh

29:33

Generative AI, Large Language Models, Prompt Engineering, Reinforcement Learning, and Human Feedback

01:05:04

What's new with PyTorch 2.0 + Prompt chaining for large language models (LLMs) and Generative AI

01:16:20

Research to Production at Amazon Scale With PyTorch + Generative AI in action

01:17:55

Git for Data with LakeFS + AWS re:Invent 2022 Recap for AI and Machine Learning

01:12:34

Managed Kubeflow + Managed MLflow + Data Mesh architectures on AWS

01:21:48

Pipelines with LineaPy + JAX/Ray/NVIDIA + SageMaker Data Wrangler with MLOps

01:01:42

Build Computer Vision apps with Roboflow + What's new with SageMaker JumpStart

01:08:21

Ray AI Runtime on AWS: Distributed ML with Amazon SageMaker, EC2, EKS, and EMR!

01:02:20

Blur faces with SageMaker and NVIDIA Triton + Ultra-fast PyTorch data loading from Amazon S3

25:19

Disaster Response with ML and SageMaker Studio Lab

01:12:30

Scaling Pandas with Ray and Modin + Alexa AI: Kubernetes and DeepSpeed Zero

01:05:47

Responsible AI, Bias Detection, and Model Explainability with Dr. Nashlie Sephus and Hasan Poonawala

01:28:37

Using open source *Delta Lake* and *dbt* in your ML data pipelines [Demos + Webinar]

01:23:38

Deep-dive on BMW's Cloud Data Hub and Redshift Serverless!!

01:44:46

AWS Orbit Workbench (Open Source) at HRS, Amazon EMR Serverless, EMR Studio, and Kale for Kubeflow

01:49:41

AWS Reinvent 2021 Recap + DataOps Lakehouse Automation with Amazon Redshift and Apache Airflow

01:39:41

ScaleAI Driverless Data Wrangling + Hyper-personalized Recommendations + NLP Inference Optimizations

01:07:07

HuggingFace NLP models for Contract Review + NVIDIA DALI for Optimized GPU-based Image Processing

01:00:27

Challenges of ML at Scale + Hierarchical Forecasting w/ scikit-hts: Data Science on AWS Sept Webinar

01:22:21

Quantum Machine Learning APIs + Distributed Machine Learning with Amazon SageMaker and EFS

01:03:36

[Webinar] Intelligent Governance of NLP Documents + RStudio on Amazon SageMaker

03:01:48

AWS ML Dev Day - End-to-End Amazon SageMaker Pipeline with BERT - June 2021

01:03:25

Snowflake on AWS and the new open source AWS Orbit Workbench!

01:00:04

Distributed GPU Training using Hugging Face Transformers + Accelerate ML with SageMaker QuickStart!

03:41:20

Data Science on AWS - Workshop - May 2021

45:47

Introduction to Transformers and BERT on Amazon SageMaker

30:08

Protein Sequence Classification using BERT, Transformers, and Natural Language Processing

30:08

Reduce Cost and Increase Performance by Pruning Deep Learning Models

29:43

Computer Vision with Transformers on Amazon SageMaker

31:00

Secure Machine Learning on AWS

27:33

Practical AI and Machine Learning at Amazon.com

24:27

Well-Architected Machine Learning and Cost Optimizations on AWS

31:02

Comparing Models in Production with Multi Armed Bandits and Reinforcement Learning by Chris Fregly

29:52

Automate Your AI/ML Workflows with SageMaker Pipelines

30:10

Transform Features, Detect, Bias, Analyze Feature Importance with Apache Spark and Amazon SageMaker