Unite.AI

DECEMBER 19, 2024

For instance, AI-powered virtual financial advisors can provide 24/7 access to financial advice, analyzing customer spending patterns and offering personalized budgeting tips. Additionally, AI-driven chatbots can handle high volumes of routine inquiries, streamlining operations and keeping customers engaged.

Automation 147

Automation AI AI Artificial Intelligence 147

Unite.AI

FEBRUARY 5, 2025

With the cost leveraging low code or no code tools provided by popular ISVs to build AI apps, companies will continue to seek open-source models which are more easily fine tuned rather than training and building from scratch. Other use cases are the smaller domain specific AI tools being created by individuals for their own use.

AI Tools 138

AI Tools AI AI Data Scientist 138

Unite.AI

JANUARY 1, 2025

AI serves as the catalyst for innovation in banking by simplifying this sectors complex processes while improving efficiency, accuracy, and personalization. AI chatbots, for example, are now commonplace with 72% of banks reporting improved customer experience due to their implementation.

Explainable AI 140

Explainable AI AI AI Natural Language Processing 140

AI News

AUGUST 20, 2024

About a year ago, the fund also provided its invested companies with recommendations on integrating responsible AI to improve economic outcomes. In its engagement with tech firms, the fund emphasises the importance of robust governance structures to manage AI-related risks. Do you have a proper policy on AI?”

Big Data 246

Big Data Responsible AI AI AI 246

Flipboard

FEBRUARY 19, 2025

In the age of generative artificial intelligence (AI), data isnt just kingits the entire kingdom. Additionally, we discuss some of the responsible AI framework that customers should consider adopting as trust and responsible AI implementation remain crucial for successful AI adoption.

Responsible AI 81

Responsible AI Natural Language Processing Explainability Large Language Models 81

AWS Machine Learning Blog

FEBRUARY 25, 2025

AI now plays a pivotal role in the development and evolution of the automotive sector, in which Applus+ IDIADA operates. Within this landscape, we developed an intelligent chatbot, AIDA (Applus Idiada Digital Assistant) an Amazon Bedrock powered virtual assistant serving as a versatile companion to IDIADAs workforce.

Chatbots 70

Chatbots Categorization LLM Algorithm 70

Chatbots Life

MAY 23, 2023

Responsible AI — deployment framework I asked ChatGPT and Bard to share their thoughts on what policies governments have to put in place to ensure responsible AI implementations in their countries. They should also work to raise awareness of the importance of responsible AI among businesses and organizations.

Responsible AI 82

Responsible AI Chatbots AI AI 82

Marktechpost

NOVEMBER 22, 2024

Arize helps ensure that AI models are reliable, accurate, and unbiased, promoting ethical and responsible AI development. It’s a valuable tool for building and deploying AI models that are fair and equitable. It offers a range of features, including agent creation, training, deployment, and monitoring.

Automation 109

Automation Explainability Data Analysis Machine Learning 109

AWS Machine Learning Blog

JULY 18, 2024

Using Anthropic’s Claude 3 Haiku on Amazon Bedrock , Lili developed an intelligent AccountantAI chatbot capable of providing on-demand accounting advice tailored to each customer’s financial history and unique business requirements. This process occurs over AWS PrivateLink for Amazon Bedrock , a protected and private connection in your VPC.

Chatbots 126

Chatbots Generative AI Large Language Models Artificial Intelligence 126

Unite.AI

MARCH 18, 2025

By observing ethical data collection, we succeed business-wise while contributing to the establishment of a transparent and responsible AI ecosystem. Another notable trend is the reliance on synthetic data used for data augmentation, wherein AI generates data that supplements datasets gathered from real-world scenarios.

AI Modeling 147

AI Modeling Automation Explainable AI AI Chatbots 147

Unite.AI

MAY 27, 2024

Leaders see opportunities in enhancing customer and client experiences, with 87 percent stating that they believe AI can bring improvements to this space. The future of AI in banking promises transformative capabilities that will redefine the industry landscape. One of the key challenges in AI is explainability.

Machine Learning 223

Machine Learning Explainability Algorithm AI 223

Unite.AI

SEPTEMBER 2, 2024

Generative AI is helping address these issues in several ways: Generative AI-powered tools like chatbots and virtual assistants are providing personalized support, making it easier for people to navigate complex bureaucratic systems. For example, EMMA is a chatbot developed by U.S.

Generative AI 225

Generative AI Chatbots AI AI 225

Unite.AI

JANUARY 28, 2025

Since its inception in 2016, Cognigy's vision has shifted from providing a conversational AI platform to any business to becoming a global leader for AI Agents for enterprise contact centers. Initially, the focus was on enabling businesses to deploy chatbots and voice assistants.

Conversational AI 147

Conversational AI Generative AI Automation Large Language Models 147

IBM Journey to AI blog

OCTOBER 16, 2023

Foundation models are widely used for ML tasks like classification and entity extraction, as well as generative AI tasks such as translation, summarization and creating realistic content. The development and use of these models explain the enormous amount of recent AI breakthroughs. Increase trust in AI outcomes.

Metadata 220

Metadata Explainability Automation Explainable AI 220

Unite.AI

JULY 1, 2024

It doesn’t matter if you are an online consumer or a business using that information to make key decisions – responsible AI systems allow all of us to fully and better understand information, as you need to ensure what is coming out of Generative AI is accurate and reliable.

Explainability 173

Explainability Software Engineer AI Modeling Responsible AI 173

IBM Journey to AI blog

JULY 27, 2023

Trust is a leading factor in preventing stakeholders from implementing AI. In fact, IBV found that 67% of executives are concerned about potential liabilities of AI. Customer service and AI Customer service divisions can take advantage of AI by using retrieval augmented generation, summarization, and classification.

Generative AI 173

Generative AI Chatbots Data Scientist AI 173

AWS Machine Learning Blog

OCTOBER 17, 2023

One challenge that agents face is finding the precise information when answering customers’ questions, because the diversity, volume, and complexity of healthcare’s processes (such as explaining prior authorizations) can be daunting. Then we explain how the solution uses the Retrieval Augmented Generation (RAG) pattern for its implementation.

LLM 122

LLM Chatbots Explainability Generative AI 122

Google Research AI blog

MAY 18, 2023

We continue to focus on making AI more understandable, interpretable, fun, and usable by more people around the world. It’s a mission that is particularly timely given the emergence of generative AI and chatbots. Our inspiration this year is "changing the way people think about what THEY can do with AI.”

Responsible AI 65

Responsible AI ML AI AI 65

Towards AI

JULY 27, 2024

Claude AI is an LLM based on the powerful transformer architecture and like OpenAI’s ChatGPT, it can generate text, translate languages, as well as write different kinds of compelling content. It can interact with users like a normal AI chatbot; however, it also boasts some unique features that make it different from others.

ChatGPT 119

ChatGPT Prompt Engineer Prompt Engineering Explainability 119

IBM Journey to AI blog

AUGUST 16, 2023

” We’ll come back to this story in a minute and explain how it relates to ChatGPT and trustworthy AI. As the world of artificial intelligence (AI) evolves, new tools like OpenAI’s ChatGPT have gained attention for their conversational capabilities. Similarly, Meta recently released its impressive LLaMA2 model.

ChatGPT 170

ChatGPT Chatbots Natural Language Processing AI Chatbots 170

ODSC - Open Data Science

MARCH 20, 2025

Tuesday is also the first day of the AI Expo and Demo Hall , where you can connect with our conference partners and check out the latest developments and research from leading tech companies. At night, well have our Welcome Networking Reception to kick off the firstday.

Data Science 52

Data Science LLM NLP Software Engineer 52

Unite.AI

MAY 3, 2024

Social Engineering Attacks: Offensive AI can enhance social engineering attacks, manipulating individuals into revealing sensitive information or compromising security. AI-powered chatbots and voice synthesis can mimic human behavior, making distinguishing between real and fake interactions harder.

AI 162

AI AI Responsible AI Artificial Intelligence 162

AWS Machine Learning Blog

DECEMBER 16, 2024

Peoples expectations for applications and customer experiences are changing again with generative AI. Increasingly, I think generative AI inference is going to be a core building block for every application. To realize this future, organizations need more than just a chatbot or a single powerful large language model (LLM).

Generative AI 80

Generative AI Automation AI AI 80

IBM Journey to AI blog

JANUARY 10, 2024

The real-world potential of AI is immense. Applications of AI include diagnosing diseases, personalizing social media feeds, executing sophisticated data analyses for weather modeling and powering the chatbots that handle our customer support requests.

Artificial Intelligence 229

Artificial Intelligence Artificial Intelligence Neural Network Algorithm 229

Marktechpost

JULY 4, 2023

Over a million users are already using the revolutionary chatbot for interaction. In models like DALLE-2, prompt engineering includes explaining the required response as the prompt to the AI model. Avoiding accidental consequences: AI systems trained on poorly designed prompts can lead to consequences.

Prompt Engineer 113

Prompt Engineer Prompt Engineering Artificial Intelligence Artificial Intelligence 113

Towards AI

AUGUST 8, 2024

Then, moves to a more complex NN with one hidden layer, explaining its forward and backward training processes in detail. Feedback Loops in Generative AI: How AI May Shoot Itself in the Foot by Anthony Demeusy Generative AI can enhance creativity, but beware of feedback loops! Our must-read articles 1.

Neural Network 111

Neural Network Metadata Explainability LLM 111

John Snow Labs

JANUARY 25, 2024

The newly released Medical Chatbot provides a conversational interface to a suite of medical knowledge bases, updated daily. The Medical Chatbot is designed to help experts stay current with medical research, case reports, trials, terminologies, and their organization’s private content, all using a simple natural language interface.

NLP 94

NLP LLM Generative AI Large Language Models 94

AWS Machine Learning Blog

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.

LLM 101

LLM Generative AI ML Prompt Engineer 101

John Snow Labs

DECEMBER 23, 2023

In the era of rapidly evolving Large Language Models (LLMs) and chatbot systems , we highlight the advantages of using LLM systems based on RAG (Retrieval Augmented Generation). RAG LLMs have the advantage of reducing hallucinations, by explaining the source of each fact, and enabling the use of private documents to answer questions.

Chatbots 52

Chatbots LLM Large Language Models NLP 52

John Snow Labs

DECEMBER 23, 2023

In the era of rapidly evolving Large Language Models (LLMs) and chatbot systems, we highlight the advantages of using LLM systems based on RAG (Retrieval Augmented Generation). RAG LLMs have the advantage of reducing hallucinations, by explaining the source of each fact, and enabling the use of private documents to answer questions.

Chatbots 52

Chatbots LLM Large Language Models NLP 52

AWS Machine Learning Blog

NOVEMBER 19, 2024

Fourth, we’ll address responsible AI, so you can build generative AI applications with responsible and transparent practices. Fifth, we’ll showcase various generative AI use cases across industries. Learn to apply AWS DeepRacer skills to LLMs, explore multi-modal semantic search, and create AI-powered chatbots.

ML 86

ML Generative AI AI AI 86

IBM Journey to AI blog

OCTOBER 9, 2023

Different aspects of AI could potentially be deployed by this person’s local housing authority to automatically identify their needs, determine which services they’re eligible for, so the authority can reach out with information about those services. IBM has long argued that AI systems need to be transparent and explainable.

Automation 138

Automation AI AI Natural Language Processing 138

Unite.AI

JANUARY 12, 2024

Competitions also continue heating up between companies like Google, Meta, Anthropic and Cohere vying to push boundaries in responsible AI development. The Evolution of AI Research As capabilities have grown, research trends and priorities have also shifted, often corresponding with technological milestones.

Generative AI 189

Generative AI Neural Network ChatGPT OpenAI 189

NVIDIA

MARCH 1, 2024

To help mitigate risks, NVIDIA NeMo Guardrails keeps AI language models on track by allowing enterprise developers to set boundaries for their applications. Topical guardrails ensure that chatbots stick to specific subjects. Safety guardrails set limits on the language and data sources the apps use in their responses.

AI 131

AI AI Algorithm Artificial Intelligence 131

AWS Machine Learning Blog

NOVEMBER 14, 2024

This includes: Risk assessment : Identifying and evaluating potential risks associated with AI systems. Transparency and explainability : Making sure that AI systems are transparent, explainable, and accountable. Human oversight : Including human involvement in AI decision-making processes.

ML 87

ML Machine Learning Auto-complete Auto-classification 87

Unite.AI

JUNE 17, 2024

In finance, AI is revolutionizing the way financial institutions operate, from front-office customer service to back-office risk management. For instance, many banks now use AI-powered chatbots to handle customer inquiries, providing 24/7 support and freeing up human agents to focus on more complex issues.

Automation 147

Automation Artificial Intelligence Artificial Intelligence Generative AI 147

AWS Machine Learning Blog

MAY 14, 2024

You can build such chatbots following the same process. You can easily build such chatbots following the same process. UI and the Chatbot example application to test human-workflow scenario. In our example, we used a Q&A chatbot for SageMaker as explained in the previous section.

Generative AI 108

Generative AI LLM Chatbots Machine Learning 108