Lumoa

JANUARY 24, 2024

Have you ever traveled to a country where you didn’t speak the language? Large volumes of qualitative data turn into actionable insights. Entity Analysis : Identify related entities such as competing brands, different product models, or packaging materials mentioned in customer feedback.

Analytics 208

Analytics Feedback Net Promoter Score Analysis 208

kommunicate

AUGUST 6, 2023

Last Updated on August 6, 2023 Large language models like ChatGPT(OpenAI), Bard(Google), Claude(Anthropic), and LLaMA(Meta) have seen a significant rise in its usage across different industries. The post State of Conversational AI in Healthcare appeared first on Kommunicate Blog.

Healthcare 92

Healthcare Chatbots Industry Customers 92

AWS Machine Learning

OCTOBER 10, 2023

Today, we’re excited to announce that the OpenAI Whisper foundation model is available for customers using Amazon SageMaker JumpStart. Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. The OpenAI Whisper model uses the huggingface-pytorch-inference container.

Training 91

Training Comparison Data Conference 91

AWS Machine Learning

MARCH 4, 2024

Amazon Bedrock is the best place to build and scale generative AI applications with large language models (LLM) and other foundation models (FMs). It enables customers to leverage a variety of high-performing FMs, such as the Claude family of models by Anthropic, to build custom generative AI applications.

Innovation 135

Innovation Travel Financial Exercises 135

Comm100

FEBRUARY 13, 2023

In this blog, we’ll look at some of the benefits of ChatGPT for higher education as well as risks to be aware of. ChatGPT is a chatbot created by OpenAI that is built on top of a large language model. If the data used to train the model is biased, the model may also exhibit biases in its responses.

Chatbots 205

Chatbots Management Self Service Training 205

AWS Machine Learning

SEPTEMBER 22, 2023

Reinforcement Learning from Human Feedback (RLHF) is recognized as the industry standard technique for ensuring large language models (LLMs) produce content that is truthful, harmless, and helpful. Gone are the days when you need unnatural prompt engineering to get base models, such as GPT-3, to solve your tasks.

Training 97

Training Policies e-support Data 97

AWS Machine Learning

SEPTEMBER 28, 2023

As it fields more queries, the system continuously improves its language processing through machine learning (ML) algorithms. Solution overview A large public health sector client serves millions of citizens every day, and they demand easy access to up-to-date information in an ever-changing health landscape.

Knowledge Base 96

Knowledge Base Chatbots Self Service System 96

AWS Machine Learning

DECEMBER 29, 2022

The use of RStudio on SageMaker and Amazon Redshift can be helpful for efficiently performing analysis on large data sets in the cloud. In this blog post, we will show you how to use both of these services together to efficiently perform analysis on massive data sets in the cloud while addressing the challenges mentioned above.

Connections 105

Connections Analysis Resources Analytics 105

AWS Machine Learning

DECEMBER 22, 2023

Large language model (LLM) training has surged in popularity over the last year with the release of several popular models such as Llama 2, Falcon, and Mistral. Training performant models at this scale can be a challenge. release of the SageMaker model parallel library.

Training 98

Training User Experience Communication Data 98

kommunicate

SEPTEMBER 13, 2023

A Large language model that was capable of writing code, blog posts, short stories and essays, and even poems. The post Transform Any Website Into A Chatbot – Introducing Kommunicate’s Web Chatbot Trainer appeared first on Kommunicate Blog. There was a lot of noise, and with good reason. [.]

Chatbots 52

Chatbots 52

AWS Machine Learning

FEBRUARY 6, 2024

Manually creating CTDs is incredibly labor-intensive, requiring up to 100,000 hours per year for a typical large pharma company. This solution uses the SageMaker JumpStart AI21 Jurassic Jumbo Instruct and AI21 Summarize models to extract and create the documents. The following diagram illustrates the solution architecture.

Government 102

Government Report System Guidelines 102

AWS Machine Learning

OCTOBER 26, 2023

Inferentia has enabled us to run our You Only Look Once (YOLO) computer vision models five times faster than our previous solution and supports seamless, real-time shopping experiences for our customers. Our AI/ML research team focuses on identifying the best computer vision (CV) models for our system.

Retail 99

Retail Innovation System Video 99

AWS Machine Learning

JULY 24, 2023

This blog post was co-authored, and includes an introduction, by Zilong Bai, senior natural language processing engineer at Patsnap. A recent initiative is to simplify the difficulty of constructing search expressions by autofilling patent search queries using state-of-the-art text generation models.

Innovation 67

Innovation Comparison User Experience Tools 67

AWS Machine Learning

SEPTEMBER 19, 2023

Technical challenges with multi-modal data further include the complexity of integrating and modeling different data types, the difficulty of combining data from multiple modalities (text, images, audio, video), and the need for advanced computer science skills and sophisticated analysis tools.

Financial 101

Financial Multi-Channel Marketing Analysis 101

Thematic

MAY 10, 2023

Let’s break down a few common terms related to Generative AI: OpenAI - A pioneering company in this space GPT - A large AI model created by OpenAI. It was trained on large volumes of data to interpret and generate text, images, video and audio data. It can also transform the data into something else.

Analysis 62

Analysis Feedback Data Social Media 62

AWS Machine Learning

OCTOBER 5, 2023

Processing unstructured data has become easier with the advancements in natural language processing (NLP) and user-friendly AI/ML services like Amazon Textract , Amazon Transcribe , and Amazon Comprehend. In this post, we explain how to build and optimize a custom classification model using Amazon Comprehend.

Effort Score 96

Effort Score Analysis Guidelines Training 96

Interactions

FEBRUARY 18, 2021

This blog is written courtesy of Interactions R&D team. Strong adoption has provided the impetus to make these conversational systems not only ubiquitous, but also increasingly available to wider markets by providing them in multiple languages. One of those resources relates to the modeling of words as units of sound.

Conference 71

Conference Virtual Agent System Resources 71

AWS Machine Learning

JANUARY 9, 2024

Foundation models (FMs) are often pre-trained on vast corpora of data with parameters ranging in scale of millions to billions and beyond. Large language models (LLMs) are a type of FM that generate text as a response of the user inference. Llama 2 models are autoregressive models with decoder only architecture.

How To 105

How To Gamification Resources Training 105

AWS Machine Learning

APRIL 19, 2023

The DJL is a deep learning framework built from the ground up to support users of Java and JVM languages like Scala, Kotlin, and Clojure. In this post, the Sportradar team discusses the challenges they encountered and the solutions they created to build their model inference platform using the DJL.

Sports 75

Sports Training Effort Score Multi-Channel 75

Comm100

JULY 4, 2023

If you’re reading this blog, you’ve likely come to the realization that your customer service & support operations could benefit from chatbots and automation – welcome to the club! Chatbot software varies widely, from simple keyword models to advanced AI-powered language recognition. Question 2: How do I build the bot?

Chatbots 130

Chatbots How To Measurement Report 130

AWS Machine Learning

SEPTEMBER 7, 2023

Finding optimal control policies is a complex task because physical systems, such as chemical reactors and wind turbines, are often hard to model and because drift in process dynamics can cause performance to deteriorate over time. The algorithm trained in this blog post is called “ Conservative Q Learning ” (CQL).

Data 94

Data Policies Training System 94

AWS Machine Learning

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. All the principles of the AWS Shared Responsibility Model are applicable to generative AI solutions.

Government 123

Government Training Data Policies 123

AWS Machine Learning

AUGUST 14, 2023

This blog post is co-written with Tuana Çelik from deepset. With the advent of large language models (LLMs), we can implement conversational experiences in providing the results to users. With the advent of large language models (LLMs), we can implement conversational experiences in providing the results to users.

Knowledge Base 69

Knowledge Base Examples Data Analytics 69

AWS Machine Learning

AUGUST 21, 2023

Explainability of machine learning (ML) models used in the medical domain is becoming increasingly important because models need to be explained from a number of perspectives in order to gain adoption. In this post, we show how to improve model explainability in clinical settings using Amazon SageMaker Clarify.

Hospitality 77

Hospitality Healthcare Training Report 77

AWS Machine Learning

MAY 19, 2023

Through the use of multiple AI/ML services, “Describe For Me” generates a caption of an input image and will read it back in a clear, natural-sounding voice in a variety of languages and dialects. In this blog post we walk you through the Solution Architecture behind “Describe For Me”, and the design considerations of our solution.

Video 89

Video Training Conference Technology 89

Interactions

SEPTEMBER 24, 2020

This blog is written courtesy of Interactions R&D team. Scientific research in speech and language has not been immune to these transformations, either. . Early speech recognition systems were based on the psychoacoustic aspects of human speech perception; models were developed through an understanding of the human ear.

Analysis 71

Analysis Metrics System Training 71

AWS Machine Learning

NOVEMBER 21, 2022

Organizations across industries such as retail, banking, finance, healthcare, manufacturing, and lending often have to deal with vast amounts of unstructured text documents coming from various sources, such as news, blogs, product reviews, customer support channels, and social media. Fine-tune the pre-trained model on a new custom dataset.

Metrics 72

Metrics Training Data Healthcare 72

AWS Machine Learning

AUGUST 16, 2023

This is a guest blog post co-written with Ben Veasey, Jeremy Anderson, Jordan Knight, and June Li from Travelers. Training machine learning (ML) models to interpret this data, however, is bottlenecked by costly and time-consuming human annotation efforts. One way to overcome this challenge is through self-supervised learning (SSL).

Training 71

Training Multi-Channel Travel Innovation 71

ShepHyken

DECEMBER 13, 2019

Also in regards to textual data, test in several languages, not just English. Considerations must also be made if they are a large enterprise and you are much smaller. What is their funding model? The post Guest Blog: Winning Tactics for CX Vendor Selection appeared first on Shep Hyken. Onboarding lead time .

Competitive Advantage 101

Competitive Advantage Case Study Communication Insurance 101

AWS Machine Learning

JULY 25, 2023

It is all backed by very large models that are pre-trained on vast amounts of data and commonly referred to as foundation models (FMs). Amazon SageMaker JumpStart is an ML hub offering algorithms, models, and ML solutions. It also provides the ability to deploy these models in your own Virtual Private Cloud (VPC).

Connections 79

Connections Resources Financial Groups 79

Inbenta

NOVEMBER 29, 2022

This blog will explain to you everything you need to know before you choose the right chatbot for your website. You want a chatbot that can respond to the tone of the language that is used by your customer – are they speaking in a positive or negative way? Which chatbot features will give your customers the best experience?

Chatbots 90

Chatbots Customer Experience Multi-Channel Omni-Channel 90

AWS Machine Learning

MAY 5, 2023

To easily provide users with a large repository of relevant results, the solution should provide an automated way of searching through trusted sources. It consists of pre-trained models that can be applied to analyze images and videos at scale. Incorporate Amazon Rekognition text detection to validate architecture diagram symbols.

Training 101

Training Examples How To Data 101

Clarivate

AUGUST 16, 2023

In this blog, Ed White, Senior Director and Principal Analyst, celebrates how DWPI evolved from a newsletter of patent abstracts into an integral part of the global patent system. With large volumes of data, we can apply large-scale statistical analysis and evaluate macro trends in global innovation.

Exercises 97

Exercises Innovation Analysis Government 97

AWS Machine Learning

FEBRUARY 6, 2023

This blog post is co-written with Bruno Mateus, Jonathan Diedrich and Crispim Tribuna at Talkdesk. Contact centers are using artificial intelligence (AI) and natural language processing (NLP) technologies to build a personalized customer experience and deliver effective self-service support through conversational bots.

Self Service 68

Self Service Contact Center Virtual Agent Chatbots 68

Beyond Philosophy

AUGUST 17, 2023

For example, the generative AI I talk about uses large language models (LMS), scooping up all its information from the internet. But if you, what if you train it on a personal language model? This functionality could multiply the jobs that SMART technology could do for people.

Self Service 78

Self Service Hospitality Video Customers 78

AWS Machine Learning

MAY 25, 2023

One of the most common applications of generative AI and large language models (LLMs) in an enterprise environment is answering questions based on the enterprise’s knowledge corpus. RAG models were introduced by Lewis et al. We can use the same architecture to swap the open-source models with the Amazon Titan models.

Chatbots 77

Chatbots Data Training How To 77

AWS Machine Learning

DECEMBER 20, 2022

Large connected datasets often contain valuable information that can be hard to extract using queries based on human intuition alone. Neptune ML makes it possible to build and train useful ML models on large graphs in hours instead of weeks. For this blog post we use the original configuration file. model-type kge.

Entertainment 90

Entertainment Training Advertising Data 90