NVIDIA

MARCH 18, 2024

These technologies together enable NVIDIA Avatar Cloud Engine , or ACE, and multimodal language models to work together with the NVIDIA DRIVE platform to let automotive manufacturers develop their own intelligent in-car assistants. Li Auto unveiled its multimodal cognitive model, Mind GPT, in June.

Generative AI 93

Generative AI AI Developer AI Development Auto-complete 93

AWS Machine Learning Blog

NOVEMBER 13, 2024

By offering real-time translations into multiple languages, viewers from around the world can engage with live content as if it were delivered in their first language. For the complete list of model IDs, see Amazon Bedrock model IDs. After the deployment is complete, you have two options.

Generative AI 121

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Towards AI

JULY 21, 2023

Photo by Kunal Shinde on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 08.09.20 Deep learning and semantic parsing, do we still care about information extraction? Research Work on methods that address the challenges of low-resource languages. Forge Where are we?

NLP 80

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AWS Machine Learning Blog

JULY 1, 2024

Additionally, Knowledge Bases for Amazon Bedrock empowers you to develop applications that harness the power of Retrieval Augmented Generation (RAG), an approach where retrieving relevant information from data sources enhances the model’s ability to generate contextually appropriate and informed responses. Choose Create knowledge base.

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AssemblyAI

SEPTEMBER 4, 2024

Additional Speech AI models are then used to perform actions such as redacting sensitive information from medical transcriptions and auto-populating appointment notes to reduce doctor burden.  This will enable you to move beyond basic transcription and into AI analysis with greater ease.

Deep Learning 221

Deep Learning Auto-complete Natural Language Processing Machine Learning 221

AWS Machine Learning Blog

NOVEMBER 15, 2024

This significant improvement showcases how the fine-tuning process can equip these powerful multimodal AI systems with specialized skills for excelling at understanding and answering natural language questions about complex, document-based visual information. For a detailed walkthrough on fine-tuning the Meta Llama 3.2

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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. After confirming your quota limit, you need to complete the dependencies to use Llama 2 7b chat.

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Marktechpost

AUGUST 18, 2024

In the field of Natural Language Processing (NLP), Retrieval Augmented Generation, or RAG, has attracted much attention lately. Missing Content The knowledge base’s missing information is one of the biggest problems. Although not infallible, this method can assist in decreasing the number of inaccurate responses.

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Robot Writers AI

JULY 28, 2024

Observes writer Anuj Mudaliar: “While both models (AI engines) are thought to exhibit excellent performance in natural language processing, Llama 3.1’s s relatively smaller parameter size may limit its ability to complete complex tasks, as GPT-4 works on 1.76 trillion parameters. ” *Très magnifique?

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Unite.AI

SEPTEMBER 13, 2024

Kernel Auto-tuning : TensorRT automatically selects the best kernel for each operation, optimizing inference for a given GPU. These techniques allow TensorRT-LLM to optimize inference performance for deep learning tasks such as natural language processing, recommendation engines, and real-time video analytics.

Large Language Models 130

Large Language Models LLM Auto-complete Natural Language Processing 130

AssemblyAI

SEPTEMBER 18, 2023

A large language model (often abbreviated as LLM) is a machine-learning model designed to understand, generate, and interact with human language. Engineers train these models on vast amounts of information. Original natural language processing (NLP) models were limited in their understanding of language.

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Becoming Human

MARCH 16, 2023

Each node is a structure that contains information such as a person's id, name, gender, location, and other attributes. The information about the connections in a graph is usually represented by adjacency matrices (or sometimes adjacency lists). Graph data is pretty simple. A typical application of GNN is node classification.

Neural Network 87

Neural Network Auto-classification Convolutional Neural Networks Auto-complete 87

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. Because official corporate publications undergo scrutiny before release, the information they contain is likely to be accurate and reliable.

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Auto-complete Generative AI Automation Natural Language Processing 128

AWS Machine Learning Blog

OCTOBER 19, 2023

Content moderation in Amazon Rekognition Amazon Rekognition is a managed artificial intelligence (AI) service that offers pre-trained and customizable computer vision capabilities to extract information and insights from images and videos. Complete the following steps: For this post, select Import images from S3 bucket and enter your S3 URI.

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AWS Machine Learning Blog

DECEMBER 5, 2023

Structured data, defined as data following a fixed pattern such as information stored in columns within databases, and unstructured data, which lacks a specific form or pattern like text, images, or social media posts, both continue to grow as they are produced and consumed by various organizations.

Metadata 120

Metadata Auto-classification Auto-complete Content Enrichment 120

LevelAI

SEPTEMBER 1, 2023

Limited options for auto-QA Many companies use automated QA (auto QA) services to monitor customer interactions. However, this is a relatively small market with limited solutions, and most auto-QA tools fail to deliver actionable results. Oftentimes, they fail to produce accurate or relevant results.

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AWS Machine Learning Blog

SEPTEMBER 5, 2023

These models have revolutionized various computer vision (CV) and natural language processing (NLP) tasks, including image generation, translation, and question answering. For more information about SageMaker asynchronous inference, refer to Asynchronous inference. The following diagram illustrates this architecture.

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AWS Machine Learning Blog

NOVEMBER 22, 2024

These FMs work well for many use cases but lack domain-specific information that limits their performance at certain tasks. To take complete advantage of this multi-GPU cluster, we use the recent support of QLoRA and PyTorch FSDP. This type of dataset is ideal for extracting meaningful information from customer reviews.

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Auto-complete Generative AI ML Natural Language Processing 63

AWS Machine Learning Blog

MARCH 28, 2024

However, when building generative AI applications, you can use an alternative solution that allows for the dynamic incorporation of external knowledge and allows you to control the information used for generation without the need to fine-tune your existing foundational model. license, for use without restrictions.

LLM 130

LLM Auto-complete Auto-classification Generative AI 130

Unite.AI

DECEMBER 11, 2023

By the end, you'll have all the information you need to decide whether Speak AI is the best AI transcription software for you! As a result, organizations can transcribe and analyze media from different research studies, extracting valuable insights that inform business decisions. What is Speak AI?

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AI AI Automation Artificial Intelligence 255

Marktechpost

JULY 23, 2023

For computers to process, analyze, interpret, and reason about human language, a subfield of AI known as natural language processing (NLP) is required. Natural language processing (NLP) is an interdisciplinary field that draws on methods from disciplines as diverse as linguistics and computer science.

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AI Tools Natural Language Processing Artificial Intelligence Artificial Intelligence 98

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. For more information, see Policies and permissions in IAM. Install the extension.

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Auto-complete Machine Learning Python ML 91

Marktechpost

JULY 11, 2023

LLMs, the Artificial Intelligence models that are designed to process natural language and generate human-like responses, are trending. The best example is OpenAI’s ChatGPT, the well-known chatbot that does everything from content generation and code completion to question answering, just like a human.

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AWS Machine Learning Blog

MAY 3, 2023

Each business problem is different, each dataset is different, data volumes vary wildly from client to client, and data quality and often cardinality of a certain column (in the case of structured data) might play a significant role in the complexity of the feature engineering process.

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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. For more information, see Configure the AWS CLI. jpg and the complete metadata from styles/38642.json.

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Unite.AI

NOVEMBER 17, 2023

Colossyan Creator is an AI video generator that simplifies the video creation process for content creators, marketers, and small business owners. The AI video platform leverages machine learning and natural language processing to enhance the learning experience for video content creators. I added this as my script.

AI 274

AI AI Natural Language Processing Auto-complete 274

AWS Machine Learning Blog

MAY 31, 2023

PyTorch is a machine learning (ML) framework based on the Torch library, used for applications such as computer vision and natural language processing. Set up your environment To set up your environment, complete the following steps: Launch a SageMaker notebook instance with a g5.xlarge xlarge instance.

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ML Auto-classification Auto-complete Natural Language Processing 104

Unite.AI

OCTOBER 26, 2023

This feature ensures that all team members are aligned and informed, enhancing teamwork and the decision-making process. Team Collaboration : Enhances team coordination and information sharing. Key Features: Live Chat : Real-time engagement with website visitors, complete with customization and advanced chat features.

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Automation Auto-complete Data Analysis Natural Language Processing 162

ODSC - Open Data Science

AUGUST 24, 2023

Be sure to check out their talk, “Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices,” there! Evaluating Prompt Completion: The goal is to establish effective evaluation criteria to gauge LLMs’ performance across tasks and domains. are harnessed to channel LLMs output.

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Prompt Engineering Prompt Engineer Large Language Models Responsible AI 52

John Snow Labs

JANUARY 11, 2024

marks a significant milestone in the realm of natural language processing with the introduction of advanced Relation Extraction (RE) model training features. These logs offer valuable information concerning the training parameters and evaluation metrics, allowing for deeper insights into the training process.

NLP 52

NLP Auto-complete Natural Language Processing Data Analysis 52

Unite.AI

JANUARY 16, 2024

The transcriptions allow for easy post-call review of essential information. Later on, access critical information from past meetings with the searchable Repository. Startups, Agencies, and Enterprises: Increase collaboration for productive meetings and pass on meeting information by integrating with your existing workflow.

AI 147

AI AI Auto-complete UX Design 147

Mlearning.ai

JUNE 22, 2023

While factors like the number of parameters, activation functions, architectural nuances, context sizes, pretraining data corpus, and languages used in training differentiate these models, one often overlooked aspect that can significantly impact their performance is the training process. That is it for this piece.

Auto-classification 52

Auto-classification Auto-complete BERT Deep Learning 52

AWS Machine Learning Blog

JULY 24, 2024

Einstein has a list of over 60 features, unlocked at different price points and segmented into four main categories: machine learning (ML), natural language processing (NLP), computer vision, and automatic speech recognition. For more information about CodeGen 2.5, CodeGen2.5 is the optimized version, which is a 7B model.

LLM 124

LLM Auto-complete Machine Learning NLP 124

AWS Machine Learning Blog

MAY 1, 2024

Llama 2 is an auto-regressive language model that uses an optimized transformer architecture and is intended for commercial and research use in English. This results in faster restarts and workload completion. For more information on SageMaker HyperPod use cases, refer to the SageMaker HyperPod developer guide.

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Auto-complete ML Deep Learning Generative AI 110

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. Amazon Textract charges based on the number of pages and images processed.

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IDP Auto-classification Machine Learning Auto-complete 101

AWS Machine Learning Blog

MAY 31, 2024

It’s a next generation model in the Falcon family—a more efficient and accessible large language model (LLM) that is trained on a 5.5 It’s built on causal decoder-only architecture, making it powerful for auto-regressive tasks. After deployment is complete, you will see that an endpoint is created.

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Python Auto-classification Machine Learning Natural Language Processing 117

AWS Machine Learning Blog

OCTOBER 8, 2024

Time series forecasting is a critical component in various industries for making informed decisions by predicting future values of time-dependent data. In the training phase, CSV data is uploaded to Amazon S3, followed by the creation of an AutoML job, model creation, and checking for job completion.

Machine Learning 92

Machine Learning Auto-complete Auto-classification Metadata 92