Unite.AI

APRIL 12, 2024

In recent years, large language models (LLMs) and AI chatbots have become incredibly prevalent, changing the way we interact with technology. However, as these models become more advanced, concerns regarding their safety and potential for generating harmful content have come to the forefront.

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Marktechpost

JULY 14, 2024

Large language models (LLMs) have shown exceptional capabilities in understanding and generating human language, making substantial contributions to applications such as conversational AI. Chatbots powered by LLMs can engage in naturalistic dialogues, providing a wide range of services.

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AI News

OCTOBER 18, 2024

Blockchain has enormous potential to democratise access to AI by addressing concerns around centralisation that have emerged with the growing dominance of companies like OpenAI, Google, and Anthropic. This enables smart contracts to interact with external data, paving the way for more sophisticated blockchain applications that use AI.

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AI News

AUGUST 23, 2024

The case joins similar lawsuits against other AI companies like Microsoft and OpenAI over using copyrighted material to develop large language models. It highlights growing tensions between content creators and AI firms regarding intellectual property rights.

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AI Weekly

JULY 4, 2024

marktechpost.com AI coding startup Magic seeks $1.5-billion startup developing artificial-intelligence models to write software, is in talks to raise over $200 million in a funding round valuing it at $1.5 marktechpost.com AI coding startup Magic seeks $1.5-billion marktechpost.com AI coding startup Magic seeks $1.5-billion

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Unite.AI

MARCH 25, 2024

Current fears in HR about using Large Language Models (LLMs) and AI technologies primarily revolve around several key concerns. The fear that AI and automation technologies will replace human jobs, particularly those that are routine and administrative in nature. But some think we’re moving fast, too fast.

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Marktechpost

JULY 17, 2023

One particular area where AI is making waves is in the creation of AI chatbots, which are designed to assist with a variety of tasks ranging from customer service to office management. SenseTime’s SenseNova is similar to ChatGPT and is designed to provide natural language processing and AI chatbot services.

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IBM Journey to AI blog

MAY 31, 2024

However, the latest CEO Study by the IBM Institute for the Business Value found that 72% of the surveyed government leaders say that the potential productivity gains from AI and automation are so great that they must accept significant risk to stay competitive. The FTA research indicates that this represents a 30% increase from 2018.

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IBM Journey to AI blog

AUGUST 2, 2023

AI chatbots are available to customers 24/7 and can deliver insights into your customer’s engagement and buying patterns to drive more compelling conversations and deliver more consistent and personalized digital experiences across your web and messaging channels.

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Unite.AI

JANUARY 1, 2025

AI is expected to add between $200 and $340 billion in value for banks annually, primarily through enhanced productivity. 66% of banking and finance executives believe these potential productivity gains from AI and automation are so significant that they must accept the risks to stay competitive.

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AI Weekly

JANUARY 18, 2024

Connect with 5,000+ attendees including industry leaders, heads of state, entrepreneurs and researchers to explore the next wave of transformative AI technologies. cryptopolitan.com How to Build a Thinking AI This article provides an analytical framework for how to simulate human-like thought processes within a computer.

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AI Weekly

FEBRUARY 29, 2024

[Read the blog] global.ntt In The News Google working to fix Gemini AI as CEO calls some responses "unacceptable" Google is working to fix its Gemini AI tool, CEO Sundar Pichai told employees in a note on Tuesday, saying some of the text and image responses generated by the model were "biased" and "completely unacceptable".

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IBM Journey to AI blog

AUGUST 31, 2023

IBM watsonx Assistant connects to watsonx, IBM’s enterprise-ready AI and data platform for training, deploying and managing foundation models, to enable business users to automate accurate, conversational question-answering with customized watsonx large language models.

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IBM Journey to AI blog

JUNE 19, 2024

According to research from IBM ®, about 42 percent of enterprises surveyed have AI in use in their businesses. Of all the use cases, many of us are now extremely familiar with natural language processing AI chatbots that can answer our questions and assist with tasks such as composing emails or essays.

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Flipboard

JANUARY 14, 2025

Fully local RAG For the deployment of a large language model (LLM) in a RAG use case on an Outposts rack, the LLM will be self-hosted on a G4dn instance and knowledge bases will be created on the Outpost rack, using either Amazon Elastic Block Storage (Amazon EBS) or Amazon S3 on Outposts. Aditya Lolla is a Sr.

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IBM Journey to AI blog

FEBRUARY 13, 2024

For example, organizations can use generative AI to: Quickly turn mountains of unstructured text into specific and usable document summaries, paving the way for more informed decision-making. Automate tedious, repetitive tasks. Autoregressive models or large language models (LLMs) are used for text and language.

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Chatbots Life

SEPTEMBER 11, 2023

Among these transformative technologies, Generative AI chatbots have emerged as a game-changer. In this article, we delve into the diverse use cases of Generative AI chatbots in call centers, uncovering their potential to optimize customer support, improve efficiency, and drive business success.

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IBM Journey to AI blog

FEBRUARY 23, 2024

Natural language generation (NLG) complements this by enabling AI to generate human-like responses. NLG allows conversational AI chatbots to provide relevant, engaging and natural-sounding answers. Conversational AI represents more than an advancement in automated messaging or voice-activated applications.

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IBM Journey to AI blog

SEPTEMBER 5, 2023

Rules-based chatbots Building upon the menu-based chatbot’s simple decision tree functionality, the rules-based chatbot employs conditional if/then logic to develop conversation automation flows. Conversational AI chatbots can remember conversations with users and incorporate this context into their interactions.

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IBM Journey to AI blog

AUGUST 9, 2024

Many generative AI tools seem to possess the power of prediction. Conversational AI chatbots like ChatGPT can suggest the next verse in a song or poem. Software like DALL-E or Midjourney can create original art or realistic images from natural language descriptions. But generative AI is not predictive AI.

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AWS Machine Learning Blog

FEBRUARY 14, 2024

For example, you can use large language models (LLMs) for a financial forecast by providing data and market indicators as prompts. Healthcare and life sciences – Prompt engineering can help medical professionals optimize AI systems to aid in decision-making processes, such as diagnosis, treatment selection, or risk assessment.

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Unite.AI

JANUARY 7, 2025

Healthcare leaders are keen to embrace AI, partly to keep pace with competitors and other industries, but, more importantly, to increase efficiency and improve patient experiences. However, only 77% of healthcare leaders actually trust AI to benefit their business. Ask for their response plan for security incidents.

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Unite.AI

MARCH 19, 2024

Joscha Koepke, is the Head of Product at Connectly, a code-free platform that lets you create campaigns and interactive bots to easily automate two-way conversations – to both leads and loyal customers – at scale. At Connectly, our mission is to automate every sales conversation with AI.

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IBM Journey to AI blog

OCTOBER 16, 2023

It’s essential for an enterprise to work with responsible, transparent and explainable AI, which can be challenging to come by in these early days of the technology. Most of today’s largest foundation models, including the large language model (LLM) powering ChatGPT, have been trained on information culled from the internet.

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Unite.AI

AUGUST 9, 2024

But lately, I've been hearing more and more about Claude AI by Anthropic. Both products use artificial intelligence and some of the most advanced Large Language Models (LLM) available today. Is Claude AI worth the hype or just another fleeting AI trend? Translating languages and complex documents.

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Marktechpost

DECEMBER 12, 2023

In our contemporary world, the integration of Artificial Intelligence (AI) has profoundly transformed human interactions. The emergence of Large Language Models (LLMs), such as ChatGPT, has initiated a notable shift, blurring the boundary between human-like cognitive abilities and automated responses.

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NVIDIA

OCTOBER 22, 2024

AI chatbots use generative AI to provide responses based on a single interaction. A person makes a query and the chatbot uses natural language processing to reply. Customer Service : AI agents are improving customer support by enhancing self-service capabilities and automating routine communications.

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Heartbeat

JANUARY 9, 2024

Large language models have emerged as ground-breaking technologies with revolutionary potential in the fast-developing fields of artificial intelligence (AI) and natural language processing (NLP). The way we create and manage AI-powered products is evolving because of LLMs. What is LLMOps?

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AssemblyAI

FEBRUARY 9, 2024

With real-time transcription, you can develop features such as voice-bots, automated subtitles for live speeches, language learning tools, and customer support chatbots. Build a  talking AI chatbot  with Text-to-Speech. Start building applications with our real-time speech-to-text  docs.

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Pickl AI

MARCH 4, 2025

Imagine AI systems that can manage complex workflows, solve multi-step problems, and adapt to changing environments with minimal human intervention. It is transforming industries by automating tasks that were previously unimaginable, from supply chain management to customer service. AI adjusts goals based on real-time data.

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Bitext

AUGUST 31, 2023

Empower Your Business with Question and Answer Datasets Revolutionizing Business Operations: LLM and AI Unleashed In today’s fast-paced business landscape, the fusion of Artificial Intelligence (AI) and Large Language Models (LLMs) is redefining how industries operate. We help AI understand humans.

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AWS Machine Learning Blog

AUGUST 15, 2024

Enterprises with contact center operations are looking to improve customer satisfaction by providing self-service, conversational, interactive chat bots that have natural language understanding (NLU). In turn, customers can ask a variety of questions and receive accurate answers powered by generative AI.

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IBM Journey to AI blog

AUGUST 2, 2023

Don’t fret, as we can call on our good friend, the AI chatbot.
 
 How do customer service chatbots work? Chatbots are computer programs that understand customer questions and automate responses to them, simulating human conversation.

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Unite.AI

JULY 26, 2023

Prompt engineering is not just confined to text generation but has wide-ranging applications across the AI domain. It is increasingly being employed in areas like robotic process automation bots, 3D assets, scripts, robot instructions, and other types of content and digital media.

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NVIDIA

SEPTEMBER 6, 2024

To address these challenges, businesses are deploying AI-powered customer service software to boost agent productivity, automate customer interactions and harvest insights to optimize operations. In nearly every industry, AI systems can help improve service delivery and customer satisfaction.

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Chatbots Life

MAY 11, 2023

Building a Powerful Generative AI Chatbot with Pandas Dataframe: A Step-by-Step Guide Using LangChain and Gradio Chatbots so far are using trained datasets to give correct answers to user queries. Generative AI made life simple. What is LangChain ? Some deep analysis questions now. Thursday is the weekly expiry for Nifty.

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Flipboard

JUNE 20, 2023

Advanced AI systems use artificial neural networks that mimic these structures, processing data through layers of interconnected artificial neurons to become better at making predictions. All AI systems currently in existence are narrow AI. Currently, it often involves ensuring that AI chatbots do not engage in harmful content.

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