Today at AWS re:Invent 2024, we are excited to announce the new Container Caching capability in Amazon SageMaker, which significantly reduces the time required to scale generative AI models for inference. This innovation allows you to scale your models faster, observing up to 56% reduction in latency when scaling a new model copy and up …
The generative AI landscape has been rapidly evolving, with large language models (LLMs) at the forefront of this transformation. These models have grown exponentially in size and complexity, with some now containing hundreds of billions of parameters and requiring hundreds of gigabytes of memory. As LLMs continue to expand, AI engineers face increasing challenges in …
In Part 1 of this series, we introduced Amazon SageMaker Fast Model Loader, a new capability in Amazon SageMaker that significantly reduces the time required to deploy and scale large language models (LLMs) for inference. We discussed how this innovation addresses one of the major bottlenecks in LLM deployment: the time required to load massive models …
Chronos-Bolt is the newest addition to AutoGluon-TimeSeries, delivering accurate zero-shot forecasting up to 250 times faster than the original Chronos models [1]. Time series forecasting plays a vital role in guiding key business decisions across industries such as retail, energy, finance, and healthcare. Traditionally, forecasting has relied on statistical models [2] like ETS and ARIMA, …
Fast and accurate zero-shot forecasting with Chronos-Bolt and AutoGluon Read More »
Today, the Accounts Payable (AP) and Accounts Receivable (AR) analysts in Amazon Finance operations receive queries from customers through email, cases, internal tools, or phone. When a query arises, analysts must engage in a time-consuming process of reaching out to subject matter experts (SMEs) and go through multiple policy documents containing standard operating procedures (SOPs) …
Google and Kaggle recently launched a five-day intensive course about generative AI.
We are excited to announce the availability of Cohere’s advanced reranking model Rerank 3.5 through our new Rerank API in Amazon Bedrock. This powerful reranking model enables AWS customers to significantly improve their search relevance and content ranking capabilities. This model is also available for Amazon Bedrock Knowledge Base users. By incorporating Cohere’s Rerank 3.5 …
Cohere Rerank 3.5 is now available in Amazon Bedrock through Rerank API Read More »
As developers gear up for re:Invent 2024, they again face the unique challenges of physical racing. What are the obstacles? Let’s have a look. In this blog post, I will look at what makes physical AWS DeepRacer racing—a real car on a real track—different to racing in the virtual world—a model in a simulated 3D …
The new efficient multi-adapter inference feature of Amazon SageMaker unlocks exciting possibilities for customers using fine-tuned models. This capability integrates with SageMaker inference components to allow you to deploy and manage hundreds of fine-tuned Low-Rank Adaptation (LoRA) adapters through SageMaker APIs. Multi-adapter inference handles the registration of fine-tuned adapters with a base model and dynamically …
Prompt engineering refers to the practice of writing instructions to get the desired responses from foundation models (FMs). You might have to spend months experimenting and iterating on your prompts, following the best practices for each model, to achieve your desired output. Furthermore, these prompts are specific to a model and task, and performance isn’t …
