Marktechpost

MARCH 10, 2024

While many defenses have been developed, such as input perturbation, input and output detection, and prompt demonstration, these techniques are ineffective and expensive in terms of inference time and may reduce the usefulness of LLMs when servicing benign users. The first viewpoint leads to the next two findings.

AI Strategy 133

AI Strategy Large Language Models AI AI 133

Ehud Reiter

MAY 5, 2024

Ie, in ML terms the goal is to build a classifier which outputs a diagnosis (category) based on patient symptoms (input data), and there is a lot of historical data to train models. Obviously a letter is very short, so I thought I’d expand on the topic in a blog. Of course Meehl’s work and Mycin were academic projects.

AI 109

AI AI ML Explainability 109

Ehud Reiter

FEBRUARY 27, 2023

But the larger point is that there is more to NLP than LLMs, and that companies by their nature focus on developing technologies which will be commercially profitable within the short or medium term. I’ve seen all kinds of people make comments recently about the value of academic research in NLP. Lets pursue new ideas!

NLP 100

NLP Large Language Models OpenAI Chatbots 100

AWS Machine Learning Blog

APRIL 27, 2023

In this post, we show how to incorporate human feedback on the incorrect reasoning chains for multi-hop reasoning to improve performance on these tasks. Instead of collecting the reasoning chains from scratch by asking humans, we instead learn from rich human feedback on model-generated reasoning chains using the prompting abilities of the LLMs.

Machine Learning 65

Machine Learning Large Language Models Categorization Natural Language Processing 65

Mlearning.ai

JANUARY 26, 2023

Which commercial Data Cube (covering the whole of EU / whole of world / majority of global EO data) services currently exists and what is the best way to use them for projects? One way to make EO and environmental data more usable is to organize them through Cloud data services as Data Cubes.

Metadata 98

Metadata Data Science Big Data Linked Data 98

AWS Machine Learning Blog

OCTOBER 10, 2023

You can also do ASR using Amazon Transcribe ,a fully-managed and continuously trained automatic speech recognition service. SageMaker JumpStart offers foundation models based on different tasks or model providers, and you can easily review model characteristics and usage terms. You can also try these models using a test UI widget.

Machine Learning 91

Machine Learning OpenAI ML Algorithm 91

AWS Machine Learning Blog

MAY 5, 2023

However, the desired blue bottle may not be easily found due to generic search terms. Amazon Kendra is an intelligent search service powered by ML, and Amazon Rekognition is an ML service that can identify objects, people, text, scenes, and activities from images or videos.

Metadata 101

Metadata ETL ML Data Ingestion 101

Robot Writers AI

APRIL 7, 2024

But after my in-depth testing of Grammarly’s services, it’s clear I was wrong.” It’s a virtual reality metaverse platform promising to add new tools to enable writers and others to create virtual worlds, games and apps using popular AI tools like ChatGPT.

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ChatGPT Robotics AI Tools Computer Scientist 52

Towards AI

AUGUST 25, 2023

There is often confusion between the terms artificial intelligence and machine learning, which is discussed in The AI Process. What is AI Engineering AI Engineering is a new discipline focused on developing tools, systems, and processes to enable the application of artificial intelligence in real-world contexts [1].

Software Engineer 96

Software Engineer Machine Learning Neural Network Artificial Intelligence 96

AWS Machine Learning Blog

APRIL 6, 2023

In this post, we demonstrate how NXP, an industry leader in the semiconductor sector, collaborated with the AWS Machine Learning Solutions Lab (MLSL) to use ML techniques to optimize the allocation of the NXP research and development (R&D) budget to maximize their long-term return on investment (ROI).

Machine Learning 78

Machine Learning ML Categorization Data Scientist 78

AWS Machine Learning Blog

SEPTEMBER 19, 2023

Multi-modal data is a valuable component of the financial industry, encompassing market, economic, customer, news and social media, and risk data. Financial organizations generate, collect, and use this data to gain insights into financial operations, make better decisions, and improve performance.

Generative AI 101

Generative AI LLM Python Large Language Models 101

IBM Journey to AI blog

AUGUST 23, 2023

When it comes to hosting applications on Amazon Web Services (AWS), one of the most important decisions you will need to make is which Amazon Elastic Compute Cloud (EC2) instance type to choose. EC2 instances are virtual machines that allow you to run your applications on AWS.

Automation 100

Automation Big Data Explainability Machine Learning 100

AWS Machine Learning Blog

NOVEMBER 6, 2023

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from scanned documents. Custom Queries provides a way for you to customize the Queries feature for your business-specific, non-standard documents such as auto lending contracts, checks, and pay statements, in a self-service way.

Auto-complete 101

Auto-complete Data Extraction ML Machine Learning 101

Heartbeat

JANUARY 26, 2024

LangChain (Image Credit: ALEX XU on blog.bytebytego.com ) Memory Strategies in Lang Chain Given a context that when a customer inquires about the customer service of a fashion store and expresses a problem with the jeans. I'm doing well, thank you. ") conversation.predict(input="I'm doing well, thank you.

Metadata 52

Metadata LLM OpenAI Chatbots 52

Flipboard

APRIL 30, 2023

“Quantum computing could very well revolutionize what an Amazon Web Services or Microsoft Azure will want to do for the world in terms of computing,” says Louis Terminello, associate laboratory director for physical and computational sciences at the U.S. Department of Energy’s Pacific Northwest National Laboratory.

Computer Scientist 180

Computer Scientist Artificial Intelligence Artificial Intelligence 180

AWS Machine Learning Blog

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Generative AI 122

Generative AI LLM ML AI 122

AWS Machine Learning Blog

AUGUST 3, 2023

AWS intelligent document processing (IDP), with AI services such as Amazon Textract , allows you to take advantage of industry-leading machine learning (ML) technology to quickly and accurately process data from any scanned document or image. Traditional document processing solutions are manual, expensive, error prone, and difficult to scale.

IDP 75

IDP Generative AI AI AI 75

Snorkel AI

MAY 12, 2023

Piyush Puri: Please join me in welcoming to the stage our next speakers who are here to talk about data-centric AI at Capital One, the amazing team who may or may not have coined the term, “what’s in your wallet.” I’m going to kick things off, and go high level. It’s wonderful to be here. That’s data.

Machine Learning 52

Machine Learning Data Scientist ML Data Science 52

Snorkel AI

MAY 12, 2023

Piyush Puri: Please join me in welcoming to the stage our next speakers who are here to talk about data-centric AI at Capital One, the amazing team who may or may not have coined the term, “what’s in your wallet.” I’m going to kick things off, and go high level. It’s wonderful to be here. That’s data.

Machine Learning 52

Machine Learning Data Scientist ML Data Science 52

Flipboard

JULY 28, 2023

Amazon Web Services CEO Adam Selipsky, OpenAI President Greg Brockman, Meta President Nick Clegg, Inflection AI CEO Mustafa Suleyman, Anthropic CEO Dario Amodei, Google’s President of Global Affairs Kent Walker, and Microsoft Vice Chair and President Brad Smith at the White House. Will they share the wealth? There’s a lot of money in AI.

OpenAI 123

OpenAI AI AI ChatGPT 123

Snorkel AI

JANUARY 2, 2024

Alex Ratner: I’d like to start with the term “foundation model.” We now see people using a number of different terms (large language model, foundation model, generative AI) synonymously. So we coined the term “foundation model.” So we coined the term “foundation model.” We thought a lot about the name and the definition.

Large Language Models 52

Large Language Models Machine Learning LLM ChatGPT 52

Snorkel AI

JANUARY 2, 2024

Alex Ratner: I’d like to start with the term “foundation model.” We now see people using a number of different terms (large language model, foundation model, generative AI) synonymously. So we coined the term “foundation model.” So we coined the term “foundation model.” We thought a lot about the name and the definition.

Large Language Models 52

Large Language Models Machine Learning LLM ChatGPT 52

AWS Machine Learning Blog

MAY 25, 2023

We use a combination of different AWS services, open-source foundation models ( FLAN-T5 XXL for text generation and GPT-j-6B for embeddings) and packages such as LangChain for interfacing with all the components and Streamlit for building the bot frontend. Ingesting document embeddings into Amazon OpenSearch Service.

LLM 76

LLM Data Ingestion Python ML 76

Flipboard

MARCH 7, 2023

Later, he saw Twitter pioneer the “follow graph,” or a graph of connections based on the user’s explicit choices of who they want to follow on a service. Late last month, Artifact , a personalized news reader built by Instagram’s co-founders, opened to the public.

Machine Learning 122

Machine Learning Algorithm Explainability ChatGPT 122

ODSC - Open Data Science

JUNE 1, 2023

Be sure to check out his talk, “ Building a Real-time Analytics Application for a Pizza Delivery Service ,” there! To understand what it means, we should start by thinking of the world in terms of events, where an event is a thing that happens. And we are going to take those events, become aware of them, and understand them.

Data Science 98

Data Science Data Platform Machine Learning Python 98

Dlabs.ai

OCTOBER 13, 2021

An important term when talking about computer vision is pattern recognition : the process of teaching a computer to understand visual data by feeding it millions of rendered images — while combining manual feature engineering with a set of predefined rules. Let’s look at a high-volume clothing store, like Bershka or H&M, as an example.

Computer Vision 52

Computer Vision Neural Network Deep Learning Automation 52

Snorkel AI

JUNE 15, 2023

Then we have a SaaS-based application called Trendscope and some professional services. Peter Davio is the CTO at Black Swan Data. He presented “Petabyte-Level Learning” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022. His talk was followed by an audience Q&A moderated by SnorkelAI’s Aarti Bagul.

Data Scientist 52

Data Scientist Machine Learning Data Science Large Language Models 52

Snorkel AI

JUNE 15, 2023

Then we have a SaaS-based application called Trendscope and some professional services. Peter Davio is the CTO at Black Swan Data. He presented “Petabyte-Level Learning” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022. His talk was followed by an audience Q&A moderated by SnorkelAI’s Aarti Bagul.

Data Scientist 52

Data Scientist Machine Learning Data Science Large Language Models 52

AWS Machine Learning Blog

MARCH 31, 2023

For more information, refer to Intelligent document processing with AWS AI services: Part 1. Acord document processing at scale Straight-through processing (STP) is a term used in the financial industry to describe the automation of a transaction from start to finish without the need for manual intervention.

IDP 66

IDP Natural Language Processing Machine Learning Software Engineer 66

Topbots

APRIL 11, 2023

To remove the limitations of the earlier language models, specifically in terms of the pre-trained representations being unidirectional, which limited the choice of architectures that could be used for pre-training and restricted the fine-tuning approaches. What is the goal? How is the problem approached? billion word corpus).

NLP 98

NLP Large Language Models BERT Natural Language Processing 98

Mlearning.ai

MARCH 24, 2023

This was much before the term ‘ Artificial Intelligence ’ was coined in 1955. Schulz began as a daily strip in seven newspapers, U.S. declared its support to develop the Hydrogen bomb and Winston Churchill lost the general elections as the Labour party won but with a much reduced majority. This test became known as the Turing test.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Categorization Explainability 52

Mlearning.ai

FEBRUARY 28, 2023

from yelpreview.configs.config import CFGLog from yelpreview.model.yelp_model import YelpLogisticRegression from yelpreview.executor.inferrer import Inferrer document = r"Was it worth the for a salad and small pizza Absolutely not Bad service. And your salads are severely overpriced Won't go back unless I'm desperate."

Data Science 52

Data Science Python Data Scientist ML 52

Snorkel AI

MARCH 15, 2023

I’m gonna be honest. A lot of the momentum around the term, “Generative AI,” comes from articles like this—from venture capital funds that are describing this industry that’s coming out of using these capabilities of software that were manifested by artificial intelligence. That includes images.

Generative AI 52

Generative AI Prompt Engineer Prompt Engineering AI 52

Snorkel AI

MARCH 15, 2023

I’m gonna be honest. A lot of the momentum around the term, “Generative AI,” comes from articles like this—from venture capital funds that are describing this industry that’s coming out of using these capabilities of software that were manifested by artificial intelligence. That includes images.

Generative AI 52

Generative AI Prompt Engineer Prompt Engineering AI 52

Mlearning.ai

MARCH 15, 2023

Emergence Google coined the term federated learning (FL) during the Cambridge Analytical scandal of 2018. How the emergence of this technique has changed the machine-learning process for edge devices within Industry 4.0 This was the time when sharing personal information online gained attention globally due to concerns over digital privacy.

Machine Learning 52

Machine Learning ML Automation Algorithm 52

AWS Machine Learning Blog

MAY 22, 2023

Generative AI is in the midst of a period of stunning growth. Increasingly capable foundation models are being released continuously, with large language models (LLMs) being one of the most visible model classes. These models have proven extremely effective for a wide range of text-based tasks, from question answering to sentiment analysis.

Natural Language Processing 89

Natural Language Processing Machine Learning Computational Linguistics NLP 89

Unite.AI

AUGUST 30, 2023

Autonomous AI Agent Architecture The process is initiated by verifying the OpenAI API Key and initializing various parameters, including short-term memory and database contents. Generative AI models like transformers are the State-of-the-Art core technology, driving these autonomous AI agents. Massive Update for Auto-GPT: Code Execution! ??

Auto-complete 162

Auto-complete OpenAI Python AI 162