Unite.AI

MARCH 28, 2024

Robotics and automation for manufacturers Robotic automation has long been a cornerstone of modern manufacturing , streamlining repetitive tasks, enhancing precision, and augmenting human labor. It also has built-in memory capability that stores information from past conversations to better respond to subsequent messages.

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Robotics Natural Language Processing Artificial Intelligence Artificial Intelligence 333

IBM Journey to AI blog

MAY 15, 2023

AI and automation are driving business transformation by empowering individuals to do work without expert knowledge of business processes and applications. We are now taking a major step to unlock new levels of productivity by introducing advanced generative AI capabilities to a variety of new use cases.

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Generative AI Large Language Models Automation Conversational AI 232

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. Imagine training a generative AI model on a dataset of only romance novels.

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Generative AI AI AI Chatbots 343

AssemblyAI

FEBRUARY 28, 2025

Action items flow to project management software, customer insights update your CRM, and team members receive automated summaries through their preferred channels. Key features: Automated note-taking : AI captures and organizes key points, decisions, and action items without manual intervention.

Natural Language Processing 165

Natural Language Processing Categorization Automation Conversational AI 165

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. But generative AI is not predictive AI. Gen AI models are trained on massive volumes of raw data.

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Generative AI Explainability AI AI 301

Marktechpost

DECEMBER 30, 2023

In the dynamic world of software development, a trend is emerging, promising to reshape the way code is written—text-to-code AI models. These innovative models leverage the power of machine learning to generate code snippets and even entire functions based on natural language descriptions. boilerplate.

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AI Modeling Natural Language Processing Python Machine Learning 127

Unite.AI

JUNE 30, 2023

Can you discuss how Cogito uses AI to analyze behavioral cues and provide in-the-moment feedback during conversations? Cogito uses a powerful combination of Emotion and Conversation AI to reveal new insights from all conversations, extracting both what was said and how the customers received the message.

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Emotion AI Machine Learning Conversational AI Natural Language Processing 296

AI Weekly

JULY 20, 2023

In the News Top 10 AI Tools Cooler Than ChatGPT For our list of AI tools cooler than ChatGPT, we conducted extensive research and considered various factors such as performance, versatility, innovation, user-friendliness, integration, and industry impact. readwrite.com Sponsor Your AI investing Co-Pilot With Pluto you can: ?

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Neural Network Robotics Big Data Machine Learning 243

Unite.AI

SEPTEMBER 19, 2024

These APIs allow companies to integrate natural language understanding, generation, and other AI-driven features into their applications, improving efficiency, enhancing customer experiences, and unlocking new possibilities in automation. Key Features Advanced Models : With access to GPT-4 and GPT-3.5-turbo,

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LLM Automation Large Language Models OpenAI 246

Marktechpost

FEBRUARY 15, 2025

As one of the first models to integrate both reasoning-based long-chain thought processing and conventional LLM response mechanisms, DeepHermes 3 marks a significant step in AI model sophistication. Further, the model has an improved function-calling feature that facilitates efficient processing of JSON-structured outputs.

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Data Extraction Automation NLP Conversational AI 75

Unite.AI

JANUARY 21, 2025

The relationship between artificial intelligence (AI) and automobiles has been evolving for decades, transitioning from basic automation to todays advanced self-driving technologies. The platform also offers the flexibility to develop custom AI models for specific use cases, enabling automakers to address their unique requirements.

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Natural Language Processing AI AI Artificial Intelligence 124

IBM Journey to AI blog

OCTOBER 9, 2023

Artificial intelligence (AI) can help usher in a new era of human resource management, where data analytics, machine learning and automation can work together to save people time and support higher-quality outcomes. This shift is viewed as an expansion of job possibilities.

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Artificial Intelligence Artificial Intelligence Automation Natural Language Processing 212

Chatbots Life

MARCH 16, 2023

ChatGPT, Bard, and other AI showcases: how Conversational AI platforms have adopted new technologies. On November 30, 2022, OpenAI , a San Francisco-based AI research and deployment firm, introduced ChatGPT as a research preview. How GPT-3 technology can help Conversational AI platforms?

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Conversational AI ChatGPT Chatbots OpenAI 72

Chatbots Life

MARCH 16, 2023

8 reasons why Conversational AI is important for contact center automation in 2022 — Technoscriptz A contact center is an integral part of a business. However, if these agents are not empowered with the right tools and a conversational AI is not used, the experience can be unsatisfactory.

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Conversational AI Automation Natural Language Processing Machine Learning 52

Unite.AI

SEPTEMBER 18, 2024

AI's integration into sales processes can significantly enhance efficiency, streamline workflows, and drive business success through insights derived from complex data. Automating Routine Tasks Sales professionals often spend a significant amount of time on repetitive tasks such as data entry, email management, and scheduling.

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Automation AI AI Algorithm 200

AWS Machine Learning Blog

FEBRUARY 12, 2025

The introduction of an LLM-as-a-judge framework represents a significant step forward in simplifying and streamlining the model evaluation process. This approach allows organizations to assess their AI models effectiveness using pre-defined metrics, making sure that the technology aligns with their specific needs and objectives.

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LLM Generative AI Automation Machine Learning 104

Marktechpost

FEBRUARY 1, 2025

Software development leverages AI for coding assistance and debugging. Scientific research benefits from AI-driven literature reviews. This approach enhances knowledge retrieval, automates content creation, and personalizes user interactions across multiple domains. It interacts with the Groq AI model via an API call.

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NLP Deep Learning AI AI 92

AWS Machine Learning Blog

NOVEMBER 15, 2024

Principal implemented several measures to improve the security, governance, and performance of its conversational AI platform. Generative AI models (for example, Amazon Titan) hosted on Amazon Bedrock were used for query disambiguation and semantic matching for answer lookups and responses.

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Generative AI Chatbots AI AI 115

Unite.AI

OCTOBER 12, 2023

I got the chance to apply those techniques to Conversational AI products across multiple domains. Another key takeaway from that experience is the crucial role that data plays, through quantity and quality, as a key driver of AI model capabilities and performance.

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Machine Learning Deep Learning Conversational AI Data Quality 278

Unite.AI

NOVEMBER 29, 2024

What were some of the most exciting projects you worked on during your time at Google, and how did those experiences shape your approach to AI? I was on the team that built Google Duplex, a conversational AI system that called restaurants and other businesses on the user’s behalf. It was very inspiring to be on a team like that.

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Large Language Models LLM Automation AI 147

Marktechpost

MARCH 8, 2025

The absence of an automated, structured approach to GPU workload optimization remains a major hurdle in the field. Some automated approaches, such as Triton, exist but have not yet reached the performance levels of manually tuned solutions. Check out the Paper. All credit for this research goes to the researchers of this project.

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Deep Learning Natural Language Processing Computer Vision Algorithm 51

IBM Journey to AI blog

FEBRUARY 14, 2024

Here are 27 highly productive ways that AI use cases can help businesses improve their bottom line. Customer-facing AI use cases Deliver superior customer service Customers can now be assisted in real time with conversational AI. Humanize HR AI can attract, develop and retain a skills-first workforce.

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Computer Vision NLP Robotics Automation 247

IBM Journey to AI blog

SEPTEMBER 6, 2023

We work in concert with IBM watsonx technology and an open ecosystem of partners to deliver any AI model, on any cloud, guided by ethics and trust. Take the first step toward generative AI with the right data sources and architecture to support the access, quality, richness and protection of your brand.

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AssemblyAI

JANUARY 23, 2023

Then, sales and marketing teams can use these insights to flag key sections of conversations, automatically identify risks or opportunities, coach representatives on best practices, identify buying patterns or other trends, and more. What’s the difference between Conversational Intelligence AI and Conversational AI?

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AI AI Natural Language Processing AI Modeling 130

Snorkel AI

APRIL 19, 2023

Uniphore , a conversational AI and automation leader, has chosen Snorkel’s data-centric AI platform to scale data labeling and acclerate ML model development. For conversational AI solutions, having access to high-quality training data is essential for achieving high levels of accuracy and performance.

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Conversational AI Data Scientist Natural Language Processing Machine Learning 52

Snorkel AI

APRIL 19, 2023

Uniphore , a conversational AI and automation leader, has chosen Snorkel’s data-centric AI platform to scale data labeling and acclerate ML model development. For conversational AI solutions, having access to high-quality training data is essential for achieving high levels of accuracy and performance.

Conversational AI 52

Conversational AI Data Scientist Natural Language Processing Machine Learning 52

IBM Journey to AI blog

JULY 17, 2023

While traditional AI approaches provide customers with quick service, they have their limitations. Currently chat bots are relying on rule-based systems or traditional machine learning algorithms (or models) to automate tasks and provide predefined responses to customer inquiries.

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Generative AI Auto-complete Automation AI 171

Unite.AI

MAY 6, 2024

They can automate tasks, optimize processes, and empower individuals or small teams to achieve remarkable feats. These assistants adhere to Responsible AI principles, ensuring transparency, accountability, security, and privacy while continuously improving their accuracy and performance through automated evaluation of model output.

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Unite.AI

AUGUST 30, 2024

What differentiates OctoStack from other AI deployment solutions available in the market today? OctoStack is the industry's first complete technology stack designed specifically for serving generative AI models anywhere. Can you explain the advantages of deploying AI models in a private environment using OctoStack?

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ML Prompt Engineering Prompt Engineer Generative AI 162

Marktechpost

APRIL 22, 2024

LPUs are increasingly relevant in today’s digital world, where language-centric tasks, from real-time translation to automated content generation, are prevalent. Efficiency: By focusing on language tasks, LPUs achieve faster processing times and lower power consumption, reducing operational costs and improving energy efficiency.

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Natural Language Processing NLP Conversational AI AI 119

TheSequence

NOVEMBER 3, 2024

Created Using Ideogram Next Week in The Sequence: Edge 445: We start a new series about one of the most exciting topics in generative AI: model distillation. The Sequence Chat: We discuss some coontroversial points on the debate between small vs. large foundation models. Betaworks announced a new batch of AI startups.

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Robotics ChatGPT Neural Network Conversational AI 52

IBM Journey to AI blog

JULY 11, 2023

AI can help make healthcare operations more efficient Healthcare organizations are using AI to improve the efficiency of all kinds of processes, from back-office tasks to patient care: Administrative workflow: Healthcare workers spend a lot of time doing paperwork and other administrative tasks.

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Deep Learning Artificial Intelligence Artificial Intelligence Natural Language Processing 174

AssemblyAI

FEBRUARY 22, 2024

Call tracking tools and solutions help ease this process for marketers and sales teams with suites of AI-powered call tracking automation tools. In this article, we’ll cover what call tracking solutions are, as well as the AI models behind call tracking tools.

Large Language Models 147

Large Language Models AI AI Conversational AI 147

NVIDIA

OCTOBER 21, 2024

Microsoft for Startups will provide each company with $150,000 of Microsoft Azure credits to access leading AI models, up to $200,000 worth of Microsoft business tools, and priority access to its Pegasus Program for go-to-market support. The company is exploring the use of NVIDIA BioNeMo , an AI platform for drug discovery.

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Computer Vision AI AI Generative AI 132

NVIDIA

SEPTEMBER 7, 2023

According to a recent NVIDIA survey , the top AI use cases for financial service institutions are natural language processing (NLP) and large language models (LLMs). AI voice assistants can be trained on finance-specific vocabulary and rephrasing techniques to confirm understanding of a user’s request before offering answers.

Automation 119

Automation Conversational AI AI AI 119

Marktechpost

NOVEMBER 3, 2023

This generative AI-powered assistant offers two models tailored to specific enterprise use cases. The first, Watsonx Code Assistant for Red Hat Ansible Lightspeed, focuses on IT automation, providing recommendations for automating infrastructure and application deployment tasks. for AI model development, watsonx.

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Automation Software Development AI AI 109

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 Generative AI AI AI 121