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Explore data with ease: Use SQL and Text-to-SQL in Amazon SageMaker Studio JupyterLab notebooks | Amazon Web Services
Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. In the process...
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Enhance code review and approval efficiency with generative AI using Amazon Bedrock | Amazon Web Services
In the world of software development, code review and approval are important processes for ensuring the quality, security, and functionality of the software being...
Large language model inference over confidential data using AWS Nitro Enclaves | Amazon Web Services
This post is co-written with Justin Miles, Liv d’Aliberti, and Joe Kovba from Leidos.
Leidos is a Fortune...
LeBron James eclipses 40,000 points
In one of the most anticipated moments of the season, LeBron James has finally surpassed 40,000 points. A feat no other player as accomplished...
LeBron James masterclass elevates Lakers in battle of LA
LeBron James catapulted the Lakers to a 116-122 victory on Wednesday night versus a hot Clipper team. This was due a total collapse from...
New York Islanders Weekly Recap: Week 18
The New York Islanders went 1-2 in their three games played this week. They defeated the Penguins in overtime before losing two straight games....
Code Llama 70B is now available in Amazon SageMaker JumpStart | Amazon Web Services
Today, we are excited to announce that Code Llama foundation models, developed by Meta, are available for customers through Amazon SageMaker JumpStart to deploy...
Benchmark and optimize endpoint deployment in Amazon SageMaker JumpStart | Amazon Web Services
When deploying a large language model (LLM), machine learning (ML) practitioners typically care about two measurements for model serving performance: latency, defined by the...
Host the Whisper Model on Amazon SageMaker: exploring inference options | Amazon Web Services
OpenAI Whisper is an advanced automatic speech recognition (ASR) model with an MIT license. ASR technology finds utility in transcription services, voice assistants, and...
Fine-tune Llama 2 using QLoRA and Deploy it on Amazon SageMaker with AWS Inferentia2 | Amazon Web Services
In this post, we showcase fine-tuning a Llama 2 model using a Parameter-Efficient Fine-Tuning (PEFT) method and deploy the fine-tuned model on AWS Inferentia2....
Anatoly Yakovenko on DeFi’s Disruptive Impact in Crypto and Traditional Finance
Introduction to DeFi’s Significance in Crypto Anatoly Yakovenko, a co-founder of Solana (SOL), has recently shed light on what he considers the most significant...
Boost inference performance for LLMs with new Amazon SageMaker containers | Amazon Web Services
Today, Amazon SageMaker launches a new version (0.25.0) of Large Model Inference (LMI) Deep Learning Containers (DLCs) and adds support for NVIDIA’s TensorRT-LLM Library....
Simplify data prep for generative AI with Amazon SageMaker Data Wrangler | Amazon Web Services
Generative artificial intelligence (generative AI) models have demonstrated impressive capabilities in generating high-quality text, images, and other content. However, these models require massive amounts...