Introduction to Transformers and BERT on Amazon SageMaker

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

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

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

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

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

White House Report: Promoting Memory Safe Programming from C++ to Rust

Mistral AI Updates incl Mixtral 8x22B + OpenLLMetry Evaluation Optimization

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

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

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

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

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

All New Generative AI Launches at AWS reInvent 2023 in Las Vegas!!

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

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

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

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

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

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

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

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

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

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

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