Unite.AI

APRIL 18, 2024

The Advent of AI Software Engineers Traditionally, software development has been a labor-intensive process, requiring teams of skilled programmers to write, review, and test code meticulously. However, the advent of AI-powered software engineers like SWE-Agent has the potential to disrupt this age-old paradigm.

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AWS Machine Learning Blog

MAY 22, 2024

Using machine learning (ML) and natural language processing (NLP) to automate product description generation has the potential to save manual effort and transform the way ecommerce platforms operate. jpg and the complete metadata from styles/38642.json.

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Marktechpost

JULY 11, 2023

Introduction Generative AI is evolving and getting popular. Since its introduction, new models and research papers are getting released almost every other day. The major reason for the exponentially increasing popularity is the development of Large Language Models. What is AutoGPT? What is BabyAGI?

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AWS Machine Learning Blog

AUGUST 2, 2023

Generative AI has become a common tool for enhancing and accelerating the creative process across various industries, including entertainment, advertising, and graphic design. One significant benefit of generative AI is creating unique and personalized experiences for users. The first is to define our model server.

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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.

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AWS Machine Learning Blog

DECEMBER 14, 2023

We also discuss our shift to a localized execution model in JupyterLab, resulting in a quicker, more stable, and responsive coding experience. Complete the following steps to edit an existing space: On the space details page, choose Stop space. Choose Create JupyterLab space. For Name , enter a name for your Space. Choose Create space.

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AWS Machine Learning Blog

APRIL 17, 2024

Second, using this graph database along with generative AI to detect second and third-order impacts from news events. For instance, this solution can highlight that delays at a parts supplier may disrupt production for downstream auto manufacturers in a portfolio though none are directly referenced.

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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

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.

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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. The same approach can be used with different models and vector databases.

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Marktechpost

JULY 15, 2023

Conversational AI refers to technology like a virtual agent or a chatbot that use large amounts of data and natural language processing to mimic human interactions and recognize speech and text. In recent years, the landscape of conversational AI has evolved drastically, especially with the launch of ChatGPT.

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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 1, 2024

Large language models (LLMs) are making a significant impact in the realm of artificial intelligence (AI). Their impressive generative abilities have led to widespread adoption across various sectors and use cases, including content generation, sentiment analysis, chatbot development, and virtual assistant technology.

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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 identity is called the AWS account root user.

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AWS Machine Learning Blog

AUGUST 14, 2023

With the advent of large language models (LLMs), we can implement conversational experiences in providing the results to users. However, we need to ensure that the LLMs limit the responses to company data, thereby mitigating model hallucinations.

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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

OCTOBER 11, 2023

What is the optimal framework and configuration for hosting large language models (LLMs) for text-generating generative AI applications? This condition can be a maximum length for the generated text, a specific token that signals the end of the text, or any other criteria set by the user or the application.

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AWS Machine Learning Blog

DECEMBER 5, 2023

Customers can create the custom metadata using Amazon Comprehend , a natural-language processing (NLP) service managed by AWS to extract insights about the content of documents, and ingest it into Amazon Kendra along with their data into the index. For example, metadata can be used for filtering and searching. append(e["Text"].upper())

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AWS Machine Learning Blog

JANUARY 8, 2024

However, they’re unable to gain insights such as using the information locked in the documents for large language models (LLMs) or search until they extract the text, forms, tables, and other structured data. When the script ends, a completion status along with the time taken will be returned to the SageMaker studio console.

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IDP Auto-complete Python Natural Language Processing 83

AWS Machine Learning Blog

APRIL 16, 2024

Then we show how you can enhance the in-notebook SQL experience using Text-to-SQL capabilities provided by advanced large language models (LLMs) to write complex SQL queries using natural language text as input. Complete the following steps: On the Secrets Manager console, choose Store a new secret.

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TensorFlow

MAY 10, 2023

The rise of Large Language Models (LLMs) is sparking the imagination of developers worldwide, with new generative AI applications reaching hundreds of millions of people around the world. And it’s completely accelerator agnostic — whether you use TPUs, GPUs, or something else. Let’s go through an example.

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AWS Machine Learning Blog

NOVEMBER 1, 2023

Visual language processing (VLP) is at the forefront of generative AI, driving advancements in multimodal learning that encompasses language intelligence, vision understanding, and processing. The demo implementation code is available in the following GitHub repo. million effective batch size.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

An intelligent document processing (IDP) project usually combines optical character recognition (OCR) and natural language processing (NLP) to read and understand a document and extract specific terms or words. His focus is natural language processing and computer vision.

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The MLOps Blog

JANUARY 19, 2024

Imagine you’re facing the following challenge: you want to develop a Large Language Model (LLM) that can proficiently respond to inquiries in Portuguese. You have a valuable dataset and can choose from various base models. These models are usually based on an architecture called transformers.

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Topbots

JUNE 29, 2023

In this article, we will consider the different implementation aspects of Text2SQL and focus on modern approaches with the use of Large Language Models (LLMs), which achieve the best performance as of now (cf. [2]; 3] provides a more complete survey of Text2SQL data augmentation techniques.

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AWS Machine Learning Blog

SEPTEMBER 6, 2023

Today, we are excited to announce the capability to fine-tune Llama 2 models by Meta using Amazon SageMaker JumpStart. The Llama 2 family of large language models (LLMs) is a collection of pre-trained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters.

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