AWS Machine Learning

OCTOBER 2, 2024

In addition, they use the developer-provided instruction to create an orchestration plan and then carry out the plan by invoking company APIs and accessing knowledge bases using Retrieval Augmented Generation (RAG) to provide an answer to the user’s request. Knowledge Base: bankingFAQ Should I invest in bitcoins?

Best practices 98

Best practices APIs Metrics Accountability 98

Netomi

SEPTEMBER 20, 2021

Knowledge-base integration. The AI responds to a range of employee questions by surfacing knowledge base content. Knowledge Base Management. The Answer Bot pulls relevant articles from your Zendesk Knowledge Base to provide customers with the information they need without delay. Multi-lingual.

Chatbots 126

Chatbots APIs Surveys Analytics 126

AWS Machine Learning

JUNE 6, 2024

In this post, we walk through how to discover and deploy the jina-embeddings-v2 model as part of a Retrieval Augmented Generation (RAG)-based question answering system in SageMaker JumpStart. What is RAG? It’s a cost-effective approach to improving LLM output so it remains relevant, accurate, and useful in various contexts.

Benchmark 117

Benchmark Enterprise Construction APIs 117

CSM Magazine

DECEMBER 27, 2023

Automated API testing stands as a cornerstone in the modern software development cycle, ensuring that applications perform consistently and accurately across diverse systems and technologies. Continuous learning and adaptation are essential, as the landscape of API technology is ever-evolving.

APIs 52

APIs Benchmark Best practices Technology 52

AWS Machine Learning

SEPTEMBER 12, 2024

On Hugging Face, the Massive Text Embedding Benchmark (MTEB) is provided as a leaderboard for diverse text embedding tasks. It currently provides 129 benchmarking datasets across 8 different tasks on 113 languages. First, relevant content is retrieved from an external knowledge base based on the user’s query.

APIs 132

APIs Benchmark Enterprise Construction 132

Lumoa

JULY 6, 2023

New API AppStore integration Those of you who are pulling data from the AppStore are going to love this, and if you aren’t pulling AppStore data, there has never been a better time to start! Contact your CS manager or help@lumoa.me if you have questions about this process!

APIs 15

APIs industry standards Surveys Benchmark 15

AWS Machine Learning

JUNE 13, 2023

Additionally, SupportGPT’s architecture enables detecting gaps in support knowledge bases, which helps agents provide more accurate information to customers. In addition, deployments are now as simple as calling Boto3 SageMaker APIs and attaching the proper auto scaling policies.

APIs 83

APIs Benchmark Engineering Management 83

Spearline

JULY 21, 2022

And testingRTC offers multiple ways to export these metrics, from direct collection from webhooks, to downloading results in CSV format using the REST API. testingRTC is predominantly a self-service platform, where you write and test any script you want independently of us with our extensive knowledge base documentation as a guide.

Scripts 98

Scripts APIs Metrics Analytics 98

Upstream Works

MARCH 21, 2019

Establishing customer trust and loyalty is the single most important aspect of customer experience, according to the Dimension Data 2019 Global Customer Experience Benchmarking Report. The report also identifies speed of resolution, agent knowledge and ease of contact as key factors which foster that trust and loyalty.

Customer Experience 92

Customer Experience Management Contact center software Self service 92

AWS Machine Learning

MARCH 14, 2024

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, Mistral AI, Stability AI, and Amazon via a single API. Knowledge base responses come with source citations to improve transparency and minimize hallucinations.

Best practices 132

Best practices Engineering Chatbots Enterprise 132

AWS Machine Learning

JUNE 20, 2024

Retrieval Augmented Generation (RAG) is a technique that enhances large language models (LLMs) by incorporating external knowledge sources. Lack of standardized benchmarks – There are no widely accepted and standardized benchmarks yet for holistically evaluating different capabilities of RAG systems.

Metrics 135

Metrics Engineering Accountability Benchmark 135

AWS Machine Learning

JULY 25, 2024

Conversational AI agents also encompass multiple layers, from Retrieval Augmented Generation (RAG) to function-calling mechanisms that interact with external knowledge sources and tools. Although existing large language model (LLM) benchmarks like MT-bench evaluate model capabilities, they lack the ability to validate the application layers.

APIs 132

APIs Engineering Best practices Virtual Agent 132

AWS Machine Learning

AUGUST 26, 2024

Our internal AI sales assistant, powered by Amazon Q Business , will be available across every modality and seamlessly integrate with systems such as internal knowledge bases, customer relationship management (CRM), and more. As new models become available on Amazon Bedrock, we have a structured evaluation process in place.

Sales 126

Sales Accountability Feedback Metrics 126

Enghouse Interactive

OCTOBER 21, 2020

That self-service will be their first point of contact and they are willing to deal with digital assistants (chatbots, knowledge bases, voice authentication, etc.) These interactions will become longer – so traditional productivity measurements and benchmarks will no longer be relevant and will have to be redefined.

Self service 79

Self service Contact Center Benchmark Chatbots 79

AWS Machine Learning

NOVEMBER 1, 2024

By fine-tuning, the LLM can adapt its knowledge base to specific data and tasks, resulting in enhanced task-specific capabilities. Tools and APIs – For example, when you need to teach Anthropic’s Claude 3 Haiku how to use your APIs well.

Best practices 96

Best practices APIs Finance Engineering 96

Comm100

APRIL 30, 2019

The ability to look up a knowledge base from inside the chat window and leave offline messages means that customers don’t need to be left at a dead end when they come looking for help. Live Chat Benchmark Report 2019. Download Now. The post Debunked! The Top Six Most Common Live Chat Myths appeared first on Comm100.

Chatbots 75

Chatbots Benchmark APIs Best practices 75

Netomi

FEBRUARY 10, 2023

Semi-open Typically, these models can be used for training and inference through APIs. They are also benchmarked against the latest state-of-the-art models, such as DialoGPT, Godel, DeBERTa from Microsoft, RoBERTa from Facebook, and BERT from Google. Netomi AI consumes this knowledge base and fine-tunes the LLMs (e.g.,

Chatbots 59

Chatbots APIs Benchmark Technology 59

Comm100

MAY 7, 2019

Is there intent-based routing available to automatically direct inbound queries to the right department the first time, without triage or transfers? Can integrations and APIs be used to connect the platform to other systems, making deep personalisation automatic? What are the customer satisfaction benchmarks for this platform?

APIs 74

APIs Benchmark Wait times Customer Experience 74

AWS Machine Learning

NOVEMBER 22, 2023

The LLM generated text, and the IR system retrieves relevant information from a knowledge base. Model choices – SageMaker JumpStart offers a selection of state-of-the-art ML models that consistently rank among the top in industry-recognized HELM benchmarks. Lewis et al.

Engineering 121

Engineering Chatbots APIs Benchmark 121

AWS Machine Learning

MARCH 15, 2024

Additionally, it results in a centralized repository of intelligence via a secure, private, and global knowledge base. Furthermore, model hosting on Amazon SageMaker JumpStart can help by exposing the endpoint API without sharing model weights. It can enable informed decisions on research direction and diagnosis.

Healthcare 126

Healthcare Government Best practices Engineering 126

RichCall

SEPTEMBER 13, 2017

Check out what recent reports and experts suggest, and take part in a contact center benchmarking survey to get more accurate data on the current contact center trends. Global Contact Centre Benchmarking Report, Dimension Data 2017. Dimension Data’s 2016 Global Contact Centre Benchmarking Report, © Dimension Data 2013-2016.

Contact Center 64

Contact Center Technology Benchmark Chatbots 64

CSM Magazine

APRIL 29, 2024

Through the use of advanced data collection techniques and APIs, BI platforms continuously gather data from various social media channels such as Twitter, Facebook, Instagram, LinkedIn, and more. Real-time monitoring allows businesses to promptly respond to customer inquiries, address complaints, and capitalize on emerging opportunities.

Analytics 52

Analytics Metrics CRM APIs 52

CSM Magazine

FEBRUARY 21, 2022

Therefore, it is regarded as the new prescribed benchmark for a premier customer experience. Unified Knowledge Base. So, to make sure the customer receives the same information or can easily pick up from where they left off, it is essential to have a unified knowledge base or knowledge management (KM) platform.

Multichannel 52

Multichannel Self service Chatbots Customer retention 52

ProProfs Blog

DECEMBER 17, 2021

The “Collect, Contextualise and Communicate” approach allows you to effectively capture feedback without interrupting users via in-app feedback widgets and APIs. These bots access backend systems via dedicated APIs and can communicate in over 180 languages for expedited resolutions. UserTesting. Source: UserTesting. Source: Mopinion.

Feedback 78

Feedback Surveys APIs Customer centricity 78

AWS Machine Learning

MAY 7, 2024

To deploy a model from SageMaker JumpStart, you can use either APIs, as demonstrated in this post, or use the SageMaker Studio UI. Common applications for entity extraction include building a knowledge base, extracting metadata to use for personalization or search, and improving user inputs and conversation understanding within chatbots.

Engineering 122

Engineering Technical Support Chatbots Best practices 122

Comm100

NOVEMBER 13, 2022

When integrated with every digital channel, including resources like a knowledge base and CRM, omnichannel can put more information at an agent’s fingertips and reduce the monotony of continually searching for answers to common problems. Read more: The Best Customer Experience Needs the Best Agent Experience – Expert Commentary .

Customer Service 95

Customer Service Chatbots Best practices Surveys 95

aircall

MARCH 22, 2021

Fortunately, technology has also brought us an open API. Virtual phone system software makes setting up self-service options, such as a knowledge base, fast, easy, and flexible. . IT staff will be able to invest more time in researching the best business tools, benchmarking solutions, and negotiating with vendors. .

CRM 62

CRM voip Sales APIs 62

Comm100

MAY 7, 2019

Is there intent-based routing available to automatically direct inbound queries to the right department the first time, without triage or transfers? Can integrations and APIs be used to connect the platform to other systems, making deep personalisation automatic? What are the customer satisfaction benchmarks for this platform?

APIs 40

APIs Benchmark Wait times Best practices 40

Balto

JANUARY 14, 2025

Employee Engagement Analytics isnt just for customers; it benefits employee satisfaction too: Clear Feedback Loops : Metrics like average handle time (AHT) provide agents with clear performance benchmarks. API Strategies: Use API integration to connect disparate systems, ensuring smooth data flow.

Call Center 52

Call Center Analytics Average Handle Time Big data 52

JustCall

APRIL 3, 2023

Knowledge base for your customers to find solutions to common issues. In addition to this, Nextiva offers calendar management and benchmarking, making it a comprehensive solution for businesses. While Twilio’s APIs are easy to use but the platform itself can be complex. G2 Rating: 4.4

Interactive Voice Response 52

Interactive Voice Response Enterprise call center software Analytics 52

JustCall

MARCH 9, 2023

Integration with Backend Systems and CRM Integrating the AI chatbot with your internal systems like knowledge bases and CRM databases can take its utility to the next level. Conversational AI enables the system to perform end-to-end actions through Application Programming Interfaces (API).

Coaching 52

Coaching Sales Chatbots Analytics 52

AWS Machine Learning

AUGUST 2, 2024

An approach to product stewardship with generative AI Large language models (LLMs) are trained with vast amounts of information crawled from the internet, capturing considerable knowledge from multiple domains. However, their knowledge is static and tied to the data used during the pre-training phase.

APIs 120

APIs Analytics Chatbots Engineering 120

AWS Machine Learning

JUNE 12, 2023

An extensible retrieval system enabling you to augment bot responses with information from a document repository, API, or other live-updating information source at inference time. It enables you to customize the bot response based on a closed domain knowledge base.

Chatbots 95

Chatbots APIs Engineering Enterprise 95

AWS Machine Learning

DECEMBER 1, 2024

through our new Rerank API in Amazon Bedrock. This model is also available for Amazon Bedrock Knowledge Base users. Through a single Rerank API call in Amazon Bedrock, you can integrate Rerank into existing systems at scale, whether keyword-based or semantic. By incorporating Cohere’s Rerank 3.5 Cohere Rerank 3.5

APIs 111

APIs Benchmark Engineering Enterprise 111

AWS Machine Learning

NOVEMBER 18, 2024

Today, we are happy to announce the availability of Binary Embeddings for Amazon Titan Text Embeddings V2 in Amazon Bedrock Knowledge Bases and Amazon OpenSearch Serverless. Amazon Bedrock is a fully managed service that provides a single API to access and use various high-performing foundation models (FMs) from leading AI companies.

Benchmark 112

Benchmark APIs Engineering Analytics 112

AWS Machine Learning

JANUARY 22, 2025

This was accomplished by using foundation models (FMs) to transform natural language into structured queries that are compatible with our products GraphQL API. The following screenshot shows an example of the event filters (1) and time filters (2) as seen on the filter bar (source: Cato knowledge base ).

APIs 110

APIs Benchmark Engineering Enterprise 110

AWS Machine Learning

DECEMBER 26, 2024

The vectors and data stored in a vector database are often called a knowledge base. These embeddings are searched against vector embeddings stored in a vector database (knowledge base). The application receives context relevant to the user question from the knowledge base.

APIs 141

APIs Enterprise Engineering Benchmark 141