AWS Machine Learning Blog

JULY 1, 2024

It features natural language understanding capabilities to recognize more accurate identification of user intent and fulfills the user intent faster. Amazon Bedrock simplifies the process of developing and scaling generative AI applications powered by large language models (LLMs) and other foundation models (FMs).

Auto-complete 125

Auto-complete Chatbots Generative AI Software Development 125

AWS Machine Learning Blog

AUGUST 22, 2024

The following figure shows the Discovery Navigator generative AI auto-summary pipeline. The OCR converted medical record pages are processed through Verisk’s AI models and select pages are sent to Amazon Bedrock using AWS PrivateLink , for generating visit summaries. Kate Riordan is the Director of Automation Initiatives at Verisk.

Generative AI 112

Generative AI Auto-complete Software Development Automation 112

AWS Machine Learning Blog

APRIL 25, 2024

The added benefit of asynchronous inference is the cost savings by auto scaling the instance count to zero when there are no requests to process. Hugging Face is a popular open source hub for machine learning (ML) models. Prerequisites Complete the following prerequisites: Create a SageMaker domain.

Auto-complete 121

Auto-complete Python ML Natural Language Processing 121

AWS Machine Learning Blog

AUGUST 5, 2024

In recent years, we have seen a big increase in the size of large language models (LLMs) used to solve natural language processing (NLP) tasks such as question answering and text summarization. Introduction Modern language models are based on the transformer architecture. compared to 76.4).

Auto-complete 111

Auto-complete Large Language Models ML Natural Language Processing 111

Unite.AI

AUGUST 1, 2023

One such model that has garnered considerable attention is OpenAI's ChatGPT , a shining exemplar in the realm of Large Language Models. Prompt design and engineering are growing disciplines that aim to optimize the output quality of AI models like ChatGPT.

Prompt Engineer 246

Prompt Engineer Prompt Engineering ChatGPT Convolutional Neural Networks 246

AWS Machine Learning Blog

NOVEMBER 15, 2024

The integration of these multimodal capabilities has unlocked new possibilities for businesses and individuals, revolutionizing fields such as content creation, visual analytics, and software development. Vision Instruct models demonstrated impressive performance on the challenging DocVQA benchmark for visual question answering.

Auto-complete 107

Auto-complete ML Python AI Modeling 107

AWS Machine Learning Blog

DECEMBER 13, 2023

We use the AWS Neuron software development kit (SDK) to access the AWS Inferentia2 device and benefit from its high performance. We then use a large model inference container powered by Deep Java Library (DJLServing) as our model serving solution. GPU Optimized Kernel using a ml.g5.2xlarge instance type.

Auto-complete 133

Auto-complete Machine Learning Deep Learning Python 133

AWS Machine Learning Blog

APRIL 8, 2024

This version offers support for new models (including Mixture of Experts), performance and usability improvements across inference backends, as well as new generation details for increased control and prediction explainability (such as reason for generation completion and token level log probabilities).

Auto-complete 110

Auto-complete LLM Deep Learning Auto-classification 110

AWS Machine Learning Blog

NOVEMBER 8, 2023

Amazon CodeWhisperer is a generative AI coding companion that speeds up software development by making suggestions based on the existing code and natural language comments, reducing the overall development effort and freeing up time for brainstorming, solving complex problems, and authoring differentiated code.

Software Development 123

Software Development Machine Learning Auto-complete ML 123

AWS Machine Learning Blog

OCTOBER 11, 2023

What is the optimal framework and configuration for hosting large language models (LLMs) for text-generating generative AI applications? The decode phase includes the following: Completion – After the prefill phase, you have a partially generated text that may be incomplete or cut off at some point. The default is 32.

Auto-complete 121

Auto-complete LLM Deep Learning Machine Learning 121

AWS Machine Learning Blog

JUNE 13, 2023

Last week, Technology Innovation Institute (TII) launched TII Falcon LLM , an open-source foundational large language model (LLM). Legacy hosting solutions used for smaller models typically don’t offer this type of functionality, adding to the difficulty. Qing Lan is a Software Development Engineer in AWS.

Auto-complete 90

Auto-complete Deep Learning LLM Software Engineer 90

AWS Machine Learning Blog

MAY 31, 2023

Complete the following steps: Launch the provided CloudFormation template. When the stack is complete, you can move to the next step. We use Amazon ECR to store a custom Docker image containing our scripts and Neuron packages needed to train a model with ECS jobs running on Trn1 instances. For this post, we use trainium-key.

Machine Learning 99

Machine Learning Auto-complete Deep Learning ML 99

AWS Machine Learning Blog

MAY 4, 2023

Today, we are excited to announce that Amazon SageMaker supports AWS Inferentia2 (ml.inf2) and AWS Trainium (ml.trn1) based SageMaker instances to host generative AI models for real-time and asynchronous inference. ml.inf2 instances are available for model deployment on SageMaker in US East (Ohio) and ml.trn1 instances in US East (N.

Generative AI 93

Generative AI Deep Learning Machine Learning Python 93

AWS Machine Learning Blog

NOVEMBER 15, 2023

Llama 2 stands at the forefront of AI innovation, embodying an advanced auto-regressive language model developed on a sophisticated transformer foundation. Its model parameters scale from an impressive 7 billion to a remarkable 70 billion. Assistant: Wow, you must be really curious about language models!

LLM 117

LLM Large Language Models Chatbots Artificial Intelligence 117

AWS Machine Learning Blog

OCTOBER 8, 2024

Additionally, traditional forecasting models often require extensive domain knowledge and manual tuning, which can be time-consuming and complex. In this blog post, we explore a comprehensive approach to time series forecasting using the Amazon SageMaker AutoMLV2 Software Development Kit (SDK).

Machine Learning 95

Machine Learning Auto-complete Auto-classification Metadata 95

AWS Machine Learning Blog

NOVEMBER 30, 2023

The Test inference tab enables you to test your model by sending test requests to one of the in-service models directly from the SageMaker Studio interface. You can also edit the auto scaling policy on the Auto-scaling tab on this page. Some familiarity with SageMaker Studio is also assumed.

ML 128

ML Auto-complete Python LLM 128

Google Research AI blog

JANUARY 18, 2023

We have also seen significant success in using large language models (LLMs) trained on source code (instead of natural language text data) that can assist our internal developers, as described in ML-Enhanced Code Completion Improves Developer Productivity. (See paper for details.)

Computer Vision 132

Computer Vision Auto-classification Large Language Models Neural Network 132

AWS Machine Learning Blog

APRIL 17, 2023

Quantization and compression can reduce model size and serving cost by reducing the precision of weights or reducing the number of parameters via pruning or distillation. Compilation can optimize the computation graph and fuse operators to reduce memory and compute requirements of a model. For more details, refer to the GitHub repo.

Prompt Engineer 97

Prompt Engineer Prompt Engineering Deep Learning Large Language Models 97

The MLOps Blog

JULY 18, 2023

I think another huge component, as I kind of was mentioning earlier, is Conversational AI tends to require large pipelines of machine learning. You usually cannot do a one-shot, “here’s a model,” then it handles everything no matter what you’re reading today. And so we actually need to have a full pipeline of models.

Conversational AI 52

Conversational AI Natural Language Processing AI AI 52

IBM Journey to AI blog

MARCH 6, 2024

Software development is one arena where we are already seeing significant impacts from generative AI tools. A McKinsey study claims that software developers can complete coding tasks up to twice as fast with generative AI. This can aid in maintaining code quality and performance over time.

Generative AI 335

Generative AI DevOps Software Development Auto-complete 335

Unite.AI

APRIL 18, 2024

From self-driving cars to language models that can engage in human-like conversations, AI is rapidly transforming various industries, and software development is no exception. However, the advent of AI-powered software engineers like SWE-Agent has the potential to disrupt this age-old paradigm.

Software Engineer 261

Software Engineer Software Development LLM Auto-complete 261

Unite.AI

MAY 28, 2024

Before MonsterAPI, he ran two startups, including one that developed a wearable safety device for women in India, in collaboration with the Government of India and IIT Delhi. Our Mission has always been “to help software developers fine-tune and deploy AI models faster and in the easiest manner possible.”

Auto-complete 147

Auto-complete LLM Software Development AI Modeling 147

AWS Machine Learning Blog

JUNE 5, 2023

Today, as part of Amazon Web Services’ partnership with Hugging Face, we are excited to announce the release of a new Hugging Face Deep Learning Container (DLC) for inference with Large Language Models (LLMs). The Hugging Face LLM DLC provides these optimizations out of the box and makes it easier to host LLM models at scale.

LLM 89

LLM Large Language Models Deep Learning Auto-complete 89

AWS Machine Learning Blog

JULY 23, 2024

collection of multilingual large language models (LLMs), which includes pre-trained and instruction tuned generative AI models in 8B, 70B, and 405B sizes, is available through Amazon SageMaker JumpStart to deploy for inference. is an auto-regressive language model that uses an optimized transformer architecture.

Machine Learning 124

Machine Learning Computer Vision Python Auto-complete 124

Flipboard

APRIL 13, 2023

To give a sense for the change in scale, the largest pre-trained model in 2019 was 330M parameters. Now, the largest models are more than 500B parameters—a 1,600x increase in size in just a few years. Today’s FMs, such as the large language models (LLMs) GPT3.5

Generative AI 182

Generative AI ML AI AI 182