AWS Machine Learning Blog

OCTOBER 15, 2024

Auto code completion – It enhances the developer experience by offering real-time suggestions and completions in popular integrated development environments (IDEs), reducing chances of syntax errors and speeding up the coding process. Data preparation In this phase, prepare the training and test data for the LLM.

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NVIDIA

OCTOBER 17, 2023

Generative AI is one of the most important trends in the history of personal computing, bringing advancements to gaming, creativity, video, productivity, development and more. This follows the announcement of TensorRT-LLM for data centers last month. This combination of speed and proficiency gives users smarter solutions.

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AWS Machine Learning Blog

MAY 17, 2024

Generative AI is a type of artificial intelligence (AI) that can be used to create new content, including conversations, stories, images, videos, and music. Like all AI, generative AI works by using machine learning models—very large models that are pretrained on vast amounts of data called foundation models (FMs).

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Unite.AI

SEPTEMBER 11, 2023

Last time we delved into AutoGPT and GPT-Engineering , the early mainstream open-source LLM-based AI agents designed to automate complex tasks. They lack critical project management functionalities like PRD generation, technical design generation, and API interface prototyping.

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Unite.AI

MAY 29, 2024

This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction. Source: A pipeline on Generative AI This figure of a generative AI pipeline illustrates the applicability of models such as BERT, GPT, and OPT in data extraction.

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NVIDIA

MARCH 18, 2024

NVIDIA GTC , running this week at the San Jose Convention Center, will spotlight the groundbreaking work NVIDIA and its partners are doing to bring the transformative power of generative AI , large language models and visual language models to the mobility sector. Li Auto unveiled its multimodal cognitive model, Mind GPT, in June.

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IBM Journey to AI blog

NOVEMBER 24, 2023

While attempting to drive acceleration and optimize cost of modernization, Generative AI is becoming a critical enabler to drive change in how we accelerate modernization programs. Let us explore the Generative AI possibilities across these lifecycle areas. Subsequent phases are build and test and deploy to production.

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Towards AI

NOVEMBER 15, 2024

Generated with Microsoft Designer With the second anniversary of the ChatGPT earthquake right around the corner, the rush to build useful applications based on large language models (LLMs) of its like seems to be in full force. I believe they are highly relevant to other LLM based applications just as much.

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AWS Machine Learning Blog

MARCH 19, 2025

In many generative AI applications, a large language model (LLM) like Amazon Nova is used to respond to a user query based on the models own knowledge or context that it is provided. Explore how Amazon Nova models can enhance your generative AI use cases today.

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Flipboard

MARCH 18, 2025

Its been gradual, but generative AI models and the apps they power have begun to measurably deliver returns for businesses. Organizations across many industries believe their employees are more productive and efficient with AI tools such as chatbots and coding assistants at their side.

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AWS Machine Learning Blog

AUGUST 22, 2024

At the forefront of harnessing cutting-edge technologies in the insurance sector such as generative artificial intelligence (AI), Verisk is committed to enhancing its clients’ operational efficiencies, productivity, and profitability. Discovery Navigator recently released automated generative AI record summarization capabilities.

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AWS Machine Learning Blog

MARCH 10, 2025

By surrounding unparalleled human expertise with proven technology, data and AI tools, Octus unlocks powerful truths that fuel decisive action across financial markets. 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.

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Flipboard

NOVEMBER 20, 2023

Retrieval Augmented Generation (RAG) allows you to provide a large language model (LLM) with access to data from external knowledge sources such as repositories, databases, and APIs without the need to fine-tune it. There are two models in this implementation: the embeddings model and the LLM that generates the final response.

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AWS Machine Learning Blog

MARCH 13, 2025

DeepSeek-R1 , developed by AI startup DeepSeek AI , is an advanced large language model (LLM) distinguished by its innovative, multi-stage training process. In this post, we demonstrate how to optimize hosting DeepSeek-R1 distilled models with Hugging Face Text Generation Inference (TGI) on Amazon SageMaker AI.

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NVIDIA

MARCH 6, 2024

With the 2018 launch of RTX technologies and the first consumer GPU built for AI — GeForce RTX — NVIDIA accelerated the shift to AI computing. Since then, AI on RTX PCs and workstations has grown into a thriving ecosystem with more than 100 million users and 500 AI applications. The field of AI is moving fast.

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Marktechpost

APRIL 16, 2024

LangChain is an open-source framework that allows developers to build LLM-based applications easily. It provides for easily connecting LLMs with external data sources to augment the capabilities of these models and achieve better results. It teaches how to build LLM-powered applications using LangChain using hands-on exercises.

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Large Language Models Auto-complete Prompt Engineer Prompt Engineering 103

Unite.AI

MARCH 25, 2025

Botpress Botpress is an open-sourceorigin platform and one of the most developer-friendly options for building AI chatbots and virtual agents. It provides a complete toolkit to design, train, and deploy AI-driven support bots, harnessing the latest in large language models (LLMs). Visit Dante 4.

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Flipboard

DECEMBER 13, 2024

Generative AI , AI, and machine learning (ML) are playing a vital role for capital markets firms to speed up revenue generation, deliver new products, mitigate risk, and innovate on behalf of their customers. Crystal Clearwaters advanced AI assistant with expanded capabilities that empower internal teams operations.

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AWS Machine Learning Blog

MARCH 28, 2024

These generative AI applications are not only used to automate existing business processes, but also have the ability to transform the experience for customers using these applications. This technique provides targeted yet broad-ranging search capabilities, furnishing the LLM with a wider perspective.

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AWS Machine Learning Blog

DECEMBER 14, 2023

Additionally, we cover the seamless integration of generative AI tools like Amazon CodeWhisperer and Jupyter AI within SageMaker Studio JupyterLab Spaces, illustrating how they empower developers to use AI for coding assistance and innovative problem-solving. Choose Create JupyterLab space. Choose Create space.

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AWS Machine Learning Blog

SEPTEMBER 24, 2024

To address this challenge, the contact center team at DoorDash wanted to harness the power of generative AI to deploy a solution quickly, and at scale, while maintaining their high standards for issue resolution and customer satisfaction. An optional CloudFormation stack to enable an asynchronous LLM hallucination detection feature.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

For years, Rad AI has been a reliable partner to radiology practices and health systems, consistently delivering high availability and generating complete results seamlessly in 0.5–3 In this post, we share how Rad AI reduced real-time inference latency by 50% using Amazon SageMaker. 3 seconds, with minimal latency.

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AWS Machine Learning Blog

JULY 1, 2024

Amazon Bedrock simplifies the process of developing and scaling generative AI applications powered by large language models (LLMs) and other foundation models (FMs). The generative AI capability of QnAIntent in Amazon Lex lets you securely connect FMs to company data for RAG. Create an Amazon Lex bot.

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AWS Machine Learning Blog

SEPTEMBER 13, 2024

We aim to target and simplify them using generative AI with Amazon Bedrock. The application generates SQL queries based on the user’s input, runs them against an Athena database containing CUR data, and presents the results in a user-friendly format. split("SQLQuery:")[1].strip() split("SQLQuery:")[1].strip() strip("[]").split("),

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NVIDIA

APRIL 3, 2024

ACE microservices allow developers to integrate state-of-the-art generative AI models into digital avatars in games and applications. With ACE, Riva’s automatic speech recognition (ASR) feature processes what was said and uses AI to deliver a highly accurate transcription in real time.

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AWS Machine Learning Blog

MAY 7, 2024

The recording is transcribed to text using Amazon Transcribe and then processed using Amazon SageMaker Hugging Face containers to generate the meeting summary. The Hugging Face containers host a large language model (LLM) from the Hugging Face Hub. Mistral 7B Instruct is developed by Mistral AI.

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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 LMI container has a powerful serving stack called DJL serving that is agnostic to the underlying LLM. These cached key and value tensors are often referred to as the KV cache.

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AWS Machine Learning Blog

SEPTEMBER 17, 2024

This data is used to enrich the generative AI prompt to deliver more context-specific and accurate responses without continuously retraining the FM, while also improving transparency and minimizing hallucinations. Prerequisites Complete the following prerequisite steps: Make sure you have model access in Amazon Bedrock.

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AssemblyAI

SEPTEMBER 18, 2023

Below, we'll give you the basic know-how you need to understand LLMs, how they work, and the best models in 2023. A large language model (often abbreviated as LLM) is a machine-learning model designed to understand, generate, and interact with human language. Read Introduction to Large Language Models for Generative AI.

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Unite.AI

AUGUST 1, 2023

Furthermore, it opens doors to seamlessly integrating LLMs with external tools and data sources, broadening the range of their potential uses. In zero-shot learning, no examples of task completion are provided in the model. Few Shot Learning as Demonstrated in GPT-3 Paper Zero-shot learning takes this concept a step further.

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AWS Machine Learning Blog

SEPTEMBER 5, 2023

The success of generative AI applications across a wide range of industries has attracted the attention and interest of companies worldwide who are looking to reproduce and surpass the achievements of competitors or solve new and exciting use cases. as the engines that power the generative AI innovation.

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AWS Machine Learning Blog

MAY 22, 2024

With the advancement of Generative AI , we can use vision-language models (VLMs) to predict product attributes directly from images. You can use a managed service, such as Amazon Rekognition , to predict product attributes as explained in Automating product description generation with Amazon Bedrock.

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AWS Machine Learning Blog

SEPTEMBER 25, 2023

We’re at an exciting inflection point in the widespread adoption of machine learning (ML), and we believe most customer experiences and applications will be reinvented with generative AI. Generative AI can create new content and ideas, including conversations, stories, images, videos, and music.

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AWS Machine Learning Blog

MAY 4, 2023

The world of artificial intelligence (AI) and machine learning (ML) has been witnessing a paradigm shift with the rise of generative AI models that can create human-like text, images, code, and audio. Compared to classical ML models, generative AI models are significantly bigger and more complex.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

To summarize, we used the following flags for compilation: NEURON_CC_FLAGS="--target trn1 --auto-cast all --auto-cast-type bf16 --model-type transformer --optlevel O1" Checkpoint compatibility When compilation is successfully complete, we can proceed to train our models on Trainium.

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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. In this post, we explore best practices for prompting the Llama 2 Chat LLM. The complete example is shown in the accompanying notebook.

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AWS Machine Learning Blog

JULY 24, 2024

In this post, we share how the Salesforce Einstein AI Platform team boosted latency and throughput of their code generation LLM using Amazon SageMaker. LMI containers are a set of high-performance Docker Containers purpose built for LLM inference. Looking to host your own LLMs on SageMaker?

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