AWS Machine Learning Blog

NOVEMBER 26, 2024

With the rise of large language models (LLMs) like Meta Llama 3.1, there is an increasing need for scalable, reliable, and cost-effective solutions to deploy and serve these models. 8B model With the setup complete, you can now deploy the model using a Kubernetes deployment.

Auto-complete 98

Auto-complete ML Large Language Models Software Development 98

IBM Journey to AI blog

SEPTEMBER 19, 2023

Using generative artificial intelligence (AI) solutions to produce computer code helps streamline the software development process and makes it easier for developers of all skill levels to write code. It can also modernize legacy code and translate code from one programming language to another.

Auto-complete 241

Auto-complete Generative AI Neural Network Artificial Intelligence 241

AWS Machine Learning Blog

MARCH 25, 2025

Although blue/green deployment has been a reliable strategy for zero-downtime updates, its limitations become glaring when deploying large-scale large language models (LLMs) or high-throughput models on premium GPU instances. Now another two free GPU slots are available.

Auto-complete 95

Auto-complete Large Language Models AI AI 95

Flipboard

JUNE 13, 2023

Diamond Bishop , CEO and co-founder at Augmend , a Seattle collaboration software startup Diamond Bishop, CEO of Augmend. Augmend Photo) “AI is making it so small startups like ours can accelerate all aspects of the software development lifecycle. Intellisense and language plugins like Pylance have been around for a while.

Generative AI 181

Generative AI Auto-complete Software Engineer AI 181

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

Marktechpost

NOVEMBER 7, 2023

Big language models (LLMs) are becoming increasingly skilled in programming in various contexts, such as finishing partly written code, interacting with human programmers, and even figuring out challenging programming riddles at the competition level. Figure 1: The LILO learning loop overview. (Al)

Auto-complete 127

Auto-complete LLM Software Development Deep Learning 127

Dlabs.ai

NOVEMBER 15, 2023

A recent MIT study points to this , showing how when white-collar workers had access to an assistive chatbot, it took them 40% less time to complete a task, while the quality of their work increased by 18%. When To Use A Tool Like Copilot ChatGPT isn’t the only large language model-based tool out there.

Software Development 52

Software Development ChatGPT Large Language Models Auto-complete 52

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 Machine Learning Software Development 147

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 124

Auto-complete Chatbots Generative AI Software Development 124

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 119

Auto-complete Python ML Natural Language Processing 119

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 110

Generative AI Auto-complete Software Development Automation 110

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 92

LLM Large Language Models Deep Learning Auto-complete 92

AWS Machine Learning Blog

MARCH 10, 2025

Visit octus.com to learn how we deliver rigorously verified intelligence at speed and create a complete picture for professionals across the entire credit lifecycle. The Q&A handler, running on AWS Fargate, orchestrates the complete query response cycle by coordinating between services and processing responses through the LLM pipeline.

DevOps 98

DevOps Metadata Auto-complete Automation 98

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 130

Auto-complete Machine Learning Deep Learning Python 130

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 122

Software Development Machine Learning Auto-complete ML 122

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 108

Auto-complete Large Language Models ML Natural Language Processing 108

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 119

Auto-complete LLM Machine Learning Deep Learning 119

TheSequence

AUGUST 10, 2023

Created Using Midjourney Large language models (LLMs) pretrained on extensive source code, referred to as “Code LLMs,” have revolutionized code intelligence in recent years. Secondly, current models rely on a limited set of pretraining objectives that may not be optimal for certain downstream tasks.

Auto-complete 52

Auto-complete Large Language Models Software Development AI 52

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 108

Auto-complete LLM Deep Learning Machine Learning 108

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

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 91

Auto-complete Deep Learning LLM Machine Learning 91

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 97

Machine Learning Auto-complete Deep Learning ML 97

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 94

Generative AI Deep Learning Machine Learning Python 94

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 127

ML Python Auto-complete LLM 127

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 123

Machine Learning Computer Vision Python ML 123

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

Flipboard

DECEMBER 13, 2024

A great example of such innovation is our customer Clearwater Analytics and their use of large language models (LLMs) hosted on Amazon SageMaker JumpStart , which has propelled asset management productivity and delivered AI-powered investment management productivity solutions to their customers.

Generative AI 129

Generative AI AI AI Machine Learning 129

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 93

Machine Learning Auto-complete Auto-classification Metadata 93

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 Engineering 97

Prompt Engineering Prompt Engineer Deep Learning Machine Learning 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 Machine Learning AI 52

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 116

LLM Large Language Models Chatbots Artificial Intelligence 116

AWS Machine Learning Blog

DECEMBER 2, 2024

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. cu124 Model Meta Llama3.1

Large Language Models 105

Large Language Models Auto-complete Machine Learning LLM 105

AWS Machine Learning Blog

DECEMBER 4, 2024

SageMaker AI makes sure that sensitive data stays completely within each customer’s SageMaker environment and will never be shared with a third party. Their validation capabilities include automatic scoring, version comparison, and auto-calculated metrics for properties such as relevance, coverage, and grounded-in-context.

ML 136

ML Generative AI Data Scientist ML Engineer 136

AWS Machine Learning Blog

DECEMBER 11, 2024

Next, you need to index this data to make it available for a Retrieval Augmented Generation (RAG) approach, where relevant passages are delivered with high accuracy to a large language model (LLM). You also need to hire and staff a large team to build, maintain, and manage such a system. Choose Create application.

Auto-complete 102

Auto-complete IDP Generative AI Metadata 102

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 105

Auto-complete ML Python Machine Learning 105

AWS Machine Learning Blog

JANUARY 9, 2025

This process is like assembling a jigsaw puzzle to form a complete picture of the malwares capabilities and intentions, with pieces constantly changing shape. Deep Instinct, recognizing this need, has developed DIANNA (Deep Instincts Artificial Neural Network Assistant), the DSX Companion.

Deep Learning 110

Deep Learning Neural Network Explainability AI 110