AWS Machine Learning

MARCH 19, 2025

They arent just building another chatbot; they are reimagining healthcare delivery at scale. For their AI training and inference workloads, Adobe uses NVIDIA GPU-accelerated Amazon Elastic Compute Cloud (Amazon EC2) P5en (NVIDIA H200 GPUs), P5 (NVIDIA H100 GPUs), P4de (NVIDIA A100 GPUs), and G5 (NVIDIA A10G GPUs) instances.

Healthcare 144

Healthcare Enterprise APIs Transportation 144

AWS Machine Learning

APRIL 10, 2025

Demystifying RAG and model customization RAG is a technique to enhance the capability of pre-trained models by allowing the model access to external domain-specific data sources. Unlike fine-tuning, in RAG, the model doesnt undergo any training and the model weights arent updated to learn the domain knowledge.

APIs 125

APIs Metrics Best practices Construction 125

Netomi

SEPTEMBER 20, 2021

Chatbots are used by 1.4 Companies are launching their best AI chatbots to carry on 1:1 conversations with customers and employees. AI powered chatbots are also capable of automating various tasks, including sales and marketing, customer service, and administrative and operational tasks. What is an AI chatbot?

Chatbots 126

Chatbots APIs Surveys Analytics 126

AWS Machine Learning

FEBRUARY 5, 2025

For a retail chatbot like AnyCompany Pet Supplies AI assistant, guardrails help make sure that the AI collects the information needed to serve the customer, provides accurate product information, maintains a consistent brand voice, and integrates with the surrounding services supporting to perform actions on behalf of the user. The Llama 3.1

Chatbots 115

Chatbots Construction Best practices APIs 115

AWS Machine Learning

MARCH 1, 2024

Some examples include a customer calling to check on the status of an order and receiving an update from a bot, or a customer needing to submit a renewal for a license and the chatbot collecting the necessary information, which it hands over to an agent for processing. Select the partner event source and choose Associate with event bus.

Chatbots 129

Chatbots APIs Self service Contact Center 129

AWS Machine Learning

MAY 30, 2024

Amazon Bedrock is a fully managed service that makes FMs from leading AI startups and Amazon available via an API, so one can choose from a wide range of FMs to find the model that is best suited for their use case. However, for this use case, the complexity associated with fine-tuning and the costs were not warranted.

Chatbots 132

Chatbots Engineering APIs Technology 132

AWS Machine Learning

APRIL 29, 2024

In recent years, large language models (LLMs) have gained attention for their effectiveness, leading various industries to adapt general LLMs to their data for improved results, making efficient training and hardware availability crucial. In this post, we show you how efficient we make our continual pre-training by using Trainium chips.

APIs 124

APIs Healthcare Scripts Enterprise 124

AWS Machine Learning

NOVEMBER 19, 2024

Discover how the fully managed infrastructure of SageMaker enables high-performance, low cost ML throughout the ML lifecycle, from building and training to deploying and managing models at scale. AWS Trainium and AWS Inferentia deliver high-performance AI training and inference while reducing your costs by up to 50%.

APIs 110

APIs Enterprise Best practices Government 110

AWS Machine Learning

AUGUST 15, 2024

In this post, we discuss how to use QnABot on AWS to deploy a fully functional chatbot integrated with other AWS services, and delight your customers with human agent like conversational experiences. After authentication, Amazon API Gateway and Amazon S3 deliver the contents of the Content Designer UI.

Chatbots 127

Chatbots Banking APIs Enterprise 127

AWS Machine Learning

APRIL 8, 2025

Additionally, the integration of SageMaker features in iFoods infrastructure automates critical processes, such as generating training datasets, training models, deploying models to production, and continuously monitoring their performance. In this post, we show how iFood uses SageMaker to revolutionize its ML operations.

Engineering 109

Engineering Virtual Agent Management Technology 109

AWS Machine Learning

MARCH 6, 2025

Amazon Bedrock is a fully managed service that offers a choice of high-performing Foundation Models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

Metrics 120

Metrics Enterprise APIs Engineering 120

Comm100

OCTOBER 19, 2022

Chatbots are quickly becoming a long-term solution for customer service across all industries. A good chatbot will deliver exceptional value to your customers during their buying journey. But you can only deliver that positive value by making sure your chatbot features offer the best possible customer experience.

Chatbots 98

Chatbots APIs Analytics Upselling 98

AWS Machine Learning

FEBRUARY 14, 2024

Intelligent applications, powered by advanced foundation models (FMs) trained on huge datasets, can now understand natural language, interpret meaning and intent, and generate contextually relevant and human-like responses. We obtain the user ID from the user using the chatbot interface, which is sent to the prompt engineering module.

Engineering 141

Engineering Chatbots Accountability Enterprise 141

AWS Machine Learning

DECEMBER 6, 2023

Enterprises turn to Retrieval Augmented Generation (RAG) as a mainstream approach to building Q&A chatbots. The end goal was to create a chatbot that would seamlessly integrate publicly available data, along with proprietary customer-specific Q4 data, while maintaining the highest level of security and data privacy.

Chatbots 127

Chatbots APIs Engineering CRM 127

AWS Machine Learning

OCTOBER 24, 2024

Since the inception of AWS GenAIIC in May 2023, we have witnessed high customer demand for chatbots that can extract information and generate insights from massive and often heterogeneous knowledge bases. Implementation on AWS A RAG chatbot can be set up in a matter of minutes using Amazon Bedrock Knowledge Bases. doc,pdf, or.txt).

Chatbots 94

Chatbots Metrics Scripts APIs 94

AWS Machine Learning

JUNE 12, 2023

Open-source LLMs provide transparency to the model architecture, training process, and training data, which allows researchers to understand how the model works and identify potential biases and address ethical concerns. OpenChatKit provides a set of tools, base bot, and building blocks to build fully customized, powerful chatbots.

Chatbots 98

Chatbots APIs Engineering Enterprise 98

AWS Machine Learning

FEBRUARY 18, 2025

During these live events, F1 IT engineers must triage critical issues across its services, such as network degradation to one of its APIs. This impacts downstream services that consume data from the API, including products such as F1 TV, which offer live and on-demand coverage of every race as well as real-time telemetry.

APIs 72

APIs Engineering Metrics Big data 72

AWS Machine Learning

FEBRUARY 10, 2025

In this post, we dive into how organizations can use Amazon SageMaker AI , a fully managed service that allows you to build, train, and deploy ML models at scale, and can build AI agents using CrewAI, a popular agentic framework and open source models like DeepSeek-R1. For instance, consider customer service.

Enterprise 118

Enterprise Engineering APIs Chatbots 118

Creative Virtual

JANUARY 28, 2021

Ask any seller of a highly complex and customizable chatbot or virtual agent system about cost and you’re likely to get an evasive answer. Increasingly, in this ever-saturating market, it’s easy to find elements of chatbot pricing (i.e., The truth is, building a successful chatbot is not purely a question of technology.

Chatbots 98

Chatbots Consulting Consulting Virtual Agent 98

Wowdesk Blog

FEBRUARY 4, 2025

It includes help desk software , live chat support , ticketing system , and AI chatbots. With a centralized ticketing system and AI-powered chatbots, they have reduced response time by 40% while maintaining high customer satisfaction. Cost Reduction AI chatbots save companies up to 30% in support costs, according to Gartner.

Customer Support 52

Customer Support Chatbots Multi-channel support CRM 52

AWS Machine Learning

MAY 16, 2023

This demonstration provides an open-source foundation model chatbot for use within your application. Because these models are expensive to train, customers want to use existing pre-trained foundation models and fine-tune them as needed, rather than train these models themselves. Select a pre-trained model.

Chatbots 98

Chatbots Scripts APIs Feedback 98

AWS Machine Learning

OCTOBER 1, 2024

Specifically, we focus on chatbots. Chatbots are no longer a niche technology. Although AI chatbots have been around for years, recent advances of large language models (LLMs) like generative AI have enabled more natural conversations. We also provide a sample chatbot application. We discuss this later in the post.

Chatbots 92

Chatbots APIs Scripts Management 92

AWS Machine Learning

NOVEMBER 22, 2023

ML practitioners can deploy foundation models to dedicated Amazon SageMaker instances from a network isolated environment and customize models using SageMaker for model training and deployment. Limitations of large language models LLMs have been trained on vast volumes of unstructured data and excel in general text generation.

Engineering 126

Engineering Chatbots Benchmark APIs 126

AWS Machine Learning

SEPTEMBER 26, 2024

You simply can’t train new SMEs overnight. This post shows how aerospace customers can use AWS generative AI and ML-based services to address this document-based knowledge use case, using a Q&A chatbot to provide expert-level guidance to technical staff based on large libraries of technical documents.

APIs 120

APIs Chatbots Engineering Accountability 120

AWS Machine Learning

AUGUST 7, 2024

AI chatbots and virtual assistants have become increasingly popular in recent years thanks the breakthroughs of large language models (LLMs). Trained on a large volume of datasets, these models incorporate memory components in their architectural design, allowing them to understand and comprehend textual context.

APIs 135

APIs Chatbots Metrics Education 135

AWS Machine Learning

JANUARY 28, 2025

Each models tokenization strategy is defined by its provider during training and cant be modified. Smart context management For interactive applications such as chatbots, include only relevant context instead of entire conversation history. This approach helps maintain responsiveness regardless of task complexity.

Benchmark 80

Benchmark APIs Engineering Metrics 80

JivoChat

APRIL 23, 2023

Chatbots have become a success around the world, and nowadays are used by 58% of B2B companies and 42% of B2C companies. In 2022 at least 88% of users had one conversation with chatbots. There are many reasons for that, a chatbot is able to simulate human interaction and provide customer service 24h a day. What Is a Chatbot?

Chatbots 75

Chatbots B2C Self service B2B 75

AWS Machine Learning

MARCH 18, 2025

Large language models (LLMs) are trained to generate accurate SQL queries for natural language instructions. Today, generative AI can help bridge this knowledge gap for nontechnical users to generate SQL queries by using a text-to-SQL application. However, off-the-shelf LLMs cant be used without some modification. streamlit run app.py

Enterprise 111

Enterprise Chatbots Engineering Metrics 111

AWS Machine Learning

NOVEMBER 10, 2023

LLMs are capable of a variety of tasks, such as generating creative content, answering inquiries via chatbots, generating code, and more. Addressing privacy Amazon Comprehend already addresses privacy through its existing PII detection and redaction abilities via the DetectPIIEntities and ContainsPIIEntities APIs.

APIs 129

APIs Chatbots Analytics Personalization 129

AWS Machine Learning

MARCH 14, 2024

Whether creating a chatbot or summarization tool, you can shape powerful FMs to suit your needs. Building large language models (LLMs) from scratch or customizing pre-trained models requires substantial compute resources, expert data scientists, and months of engineering work. model on the Amazon Bedrock console.

Best practices 136

Best practices Engineering Chatbots Enterprise 136

AWS Machine Learning

SEPTEMBER 17, 2024

Generative artificial intelligence (AI) applications are commonly built using a technique called Retrieval Augmented Generation (RAG) that provides foundation models (FMs) access to additional data they didn’t have during training. The user can also directly submit prompt requests to API Gateway and obtain a response.

APIs 97

APIs Chatbots Management Accountability 97

AWS Machine Learning

SEPTEMBER 15, 2023

Large language model (LLM) agents are programs that extend the capabilities of standalone LLMs with 1) access to external tools (APIs, functions, webhooks, plugins, and so on), and 2) the ability to plan and execute tasks in a self-directed fashion. Note that the next action may or may not involve using a tool or API.

APIs 130

APIs Chatbots Engineering Management 130

AWS Machine Learning

MAY 1, 2024

Analyze the model When the fine-tuning is complete, you can view the stats about your new model, including: Training loss – The penalty for each mistake in next-word prediction during training. Training perplexity – A measure of the model’s surprise when encountering text during training.

APIs 135

APIs SaaS Accountability Education 135

CSM Magazine

JANUARY 3, 2025

High Costs: Hiring and training multilingual staff is expensive and time-consuming. The 10 Essential AI Tools AI-Powered Chatbots ChatGPT (OpenAI) ChatGPT by OpenAI is a sophisticated conversational AI capable of understanding and generating human-like text in multiple languages.

Customer Support 52

Customer Support Chatbots CRM SaaS 52

VirtualPBX

AUGUST 20, 2020

Now consider the boost that adding a voice service to your online chat or automated chatbot can provide to the services you provide and the experience your customers enjoy. Add to Chatbots, Build Personalization. Add to Chatbots, Build Personalization. You might also find it helpful when searching for a specific support article.

Chatbots 104

Chatbots APIs voip Enterprise 104

AWS Machine Learning

SEPTEMBER 14, 2023

Solution overview The solution allows customers to retrieve curated responses to questions asked about internal documents by using a transformer model to generate answers to questions about data that it has not been trained on, a technique known as zero-shot prompting. The cost associated with training models on recent data is high.

APIs 124

APIs Healthcare Scripts Engineering 124

AWS Machine Learning

JANUARY 5, 2024

The AWS portfolio of ML services includes a robust set of services that you can use to accelerate the development, training, and deployment of machine learning applications. Collaboration – Data scientists each worked on their own local Jupyter notebooks to create and train ML models.

Management 134

Management APIs Engineering Government 134