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.

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Marktechpost

OCTOBER 2, 2023

Some of the latest AI research projects address a fundamental issue in the performance of large auto-regressive language models (LLMs) such as GPT-3 and GPT-4. This issue, referred to as the “Reversal Curse,” pertains to the model’s ability to generalize information learned during training.

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Auto-complete Natural Language Processing AI Researcher AI Research 126

Marktechpost

JULY 11, 2023

The major reason for the exponentially increasing popularity is the development of Large Language Models. LLMs, the Artificial Intelligence models that are designed to process natural language and generate human-like responses, are trending. The range of functions provided by Auto-GPT is limited.

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AssemblyAI

SEPTEMBER 18, 2023

However, among all the modern-day AI innovations, one breakthrough has the potential to make the most impact: large language models (LLMs). Large language models can be an intimidating topic to explore, especially if you don't have the right foundational understanding. What Is a Large Language Model?

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Topbots

AUGUST 22, 2023

Large Language Models (LLMs) present a unique challenge when it comes to performance evaluation. Also, while your base model may excel in broad metrics, general performance doesn’t guarantee optimal performance for your specific use cases. auto-evaluation) and using human-LLM hybrid approaches.

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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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Marktechpost

OCTOBER 18, 2023

Large language models (LLMs) such as ChatGPT and Llama have garnered substantial attention due to their exceptional natural language processing capabilities, enabling various applications ranging from text generation to code completion. Check out the Reference Page and Project Page.

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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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Marktechpost

NOVEMBER 29, 2023

This new approach allows for the drafting of multiple tokens simultaneously using a single model, combining the benefits of auto-regressive generation and speculative sampling. The PaSS method was evaluated on text and code completion tasks, exhibiting promising performance without compromising model quality.

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Auto-complete Large Language Models Natural Language Processing AI Researcher 103

AWS Machine Learning Blog

MARCH 6, 2023

Language models are statistical methods predicting the succession of tokens in sequences, using natural text. Large language models (LLMs) are neural network-based language models with hundreds of millions ( BERT ) to over a trillion parameters ( MiCS ), and whose size makes single-GPU training impractical.

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AWS Machine Learning Blog

SEPTEMBER 5, 2023

Foundation models are a class of generative AI models that are capable of understanding and generating human-like content, thanks to the vast amounts of unstructured data they have been trained on. You need to first register your endpoint variant with Application Auto Scaling, define a scaling policy, and then apply the scaling policy.

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Auto-complete Python Computer Vision Large Language Models 93

Mlearning.ai

FEBRUARY 19, 2023

You don’t need to have a PhD to understand the billion parameter language model GPT is a general-purpose natural language processing model that revolutionized the landscape of AI. GPT-3 is a autoregressive language model created by OpenAI, released in 2020 . What is GPT-3?

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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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Metadata Auto-classification Auto-complete Content Enrichment 98

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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AWS Machine Learning Blog

APRIL 17, 2024

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. The web application auto refreshes every 1 second to pull out the latest set of processed news to display on the web application.

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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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LLM Auto-complete Large Language Models Natural Language Processing 52

DataRobot Blog

FEBRUARY 2, 2023

Large language models, also known as foundation models, have gained significant traction in the field of machine learning. These models are pre-trained on large datasets, which allows them to perform well on a variety of tasks without requiring as much training data. What Are Large Language Models?

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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. When you create an AWS account, you get a single sign-on (SSO) identity that has complete access to all the AWS services and resources in the account.

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LLM Auto-complete Auto-classification Generative AI 111

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.

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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). Llama 2 is an auto-regressive language model that uses an optimized transformer architecture and is intended for commercial and research use in English.

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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 88

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.

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AWS Machine Learning Blog

SEPTEMBER 25, 2023

Transformers are slow and memory-hungry on generating long text sequences due to the sheer size of the models. Large language models (LLMs) used to generate text sequences need immense amounts of computing power and have difficulty accessing the available high bandwidth memory (HBM) and compute capacity.

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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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Data Scientist Generative AI ML Machine Learning 90

AWS Machine Learning Blog

MAY 12, 2023

To get started, complete the following steps: On the File menu, choose New and Terminal. Use CodeWhisperer in Studio After we complete the installation steps, we can use CodeWhisperer by opening a new notebook or Python file. To get started, complete the following steps: On the File menu, choose New and Terminal.

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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. code_falcon40b_deepspeed/model.py add_as_json(result) That’s it!

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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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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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IDP Auto-classification Machine Learning Auto-complete 81

AWS Machine Learning Blog

DECEMBER 14, 2023

Complete the following steps to edit an existing space: On the space details page, choose Stop space. It serves as an essential tool for both beginner and seasoned coders, providing insights into best practices, accelerating the development process, and improving the overall quality of code. Choose Create JupyterLab space.

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The MLOps Blog

JUNE 27, 2023

For example, if your team works on recommender systems or natural language processing applications, you may want an MLOps tool that has built-in algorithms or templates for these use cases. Is it accessible from your language/framework/infrastructure, framework, or infrastructure? Can you render audio/video?

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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.

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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. These models are trained on massive datasets, and used to solve a variety of tasks, from natural language processing to image generation.

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Natural Language Processing Auto-complete Machine Learning ML 54

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. Described as an AI-powered programming companion, it presents auto-complete suggestions during code development.

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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. Here are some other open-source large language models (LLMs) that are revolutionizing conversational AI.

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Mlearning.ai

MAY 3, 2023

An open-source, low-code Python wrapper for easy usage of the Large Language Models such as ChatGPT, AutoGPT, LLaMa, GPT-J, and GPT4All An introduction to “ pychatgpt_gui” —  A GUI-based APP for LLM’s with custom-data training and pre-trained inferences. The different services provided by this APP are as highlighted.

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Large Language Models Python Auto-complete Natural Language Processing 52

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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AWS Machine Learning Blog

AUGUST 2, 2023

The fine-tuning process starts with preparing the images, including face cropping, background variation, and resizing for the model. Then we use Low-Rank Adaptation (LoRA), a parameter-efficient fine-tuning technique for large language models (LLMs), to fine-tune the model.

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