Unite.AI

SEPTEMBER 19, 2024

turbo, the models are capable of handling complex tasks such as data summarization, conversational AI, and advanced problem-solving. Conversational AI : Developing intelligent chatbots that can handle both customer service queries and more complex, domain-specific tasks.

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Topbots

OCTOBER 10, 2023

Source: rawpixel.com Conversational AI is an application of LLMs that has triggered a lot of buzz and attention due to its scalability across many industries and use cases. While conversational systems have existed for decades, LLMs have brought the quality push that was needed for their large-scale adoption.

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Heartbeat

JUNE 22, 2023

Natural language processing (NLP) can help with this. In this post, we’ll look at how natural language processing (NLP) may be utilized to create smart chatbots that can comprehend and reply to natural language requests. What is NLP? Sentiment analysis, language translation, and speech recognition are a few NLP applications.

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Unite.AI

JANUARY 12, 2024

Meanwhile, Google's new Gemini model demonstrates substantially improved conversational ability over predecessors like LaMDA through advances like spike-and-slab attention. Rumored projects like OpenAI's Q* hint at combining conversational AI with reinforcement learning.

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Unite.AI

FEBRUARY 16, 2024

Ivan Crewkov is the CEO & Co-Founder of Buddy AI , the world’s first conversational AI tutor for kids, on a mission to ensure all students are able to afford 1:1 English tutoring. This inspired him to build Buddy, a fictional character that kids can actually converse with through the power of generative AI.

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AssemblyAI

JANUARY 23, 2023

With the massive amount of digital conversational data available–from virtual meetings to call centers to chatbots–it’s no surprise that enterprises are looking to AI to help make sense of this information overload. One area that is rapidly growing to meet this demand is Conversational Intelligence AI.

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Heartbeat

FEBRUARY 8, 2024

This evolution paved the way for the development of conversational AI. These models are trained on extensive data and have been the driving force behind conversational tools like BARD and ChatGPT. These building blocks, similar to functions and object classes, are essential components for creating generative AI programs.

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The MLOps Blog

JULY 18, 2023

Every episode is focused on one specific ML topic, and during this one, we talked to Jason Falks about deploying conversational AI products to production. Today, we have Jason Flaks with us, and we’ll be talking about deploying conversational AI products to production. What is conversational AI?

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Chatbots Life

MARCH 17, 2023

As pioneers in adopting ChatGPT technology in Malaysia, XIMNET dives in to take a look how far back does Conversational AI go? Photo by Milad Fakurian on Unsplash Conversational AI has been around for some time, and one of the noteworthy early breakthroughs was when ELIZA , the first chatbot, was constructed in 1966.

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Pickl AI

MARCH 25, 2025

Summary: Conversational AI enables computers to communicate naturally through voice and text. This AI-powered technology enhances customer experience, automates tasks, and supports businesses globally. Learn more about Conversational AI, its benefits, and applications through expert-led data science courses at Pickl.AI.

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Topbots

JUNE 22, 2023

SA is a very widespread Natural Language Processing (NLP). Hence, whether general domain ML models can be as capable as domain-specific models is still an open research question in NLP. Also, since at least 2018, the American agency DARPA has delved into the significance of bringing explainability to AI decisions.

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AWS Machine Learning Blog

DECEMBER 6, 2023

Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large language models (LLMs) introduced by training techniques such as instruction fine-tuning and reinforcement learning from human feedback.

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ODSC - Open Data Science

FEBRUARY 14, 2023

Trained with 570 GB of data from books and all the written text on the internet, ChatGPT is an impressive example of the training that goes into the creation of conversational AI. and is trained in a manner similar to OpenAI’s earlier InstructGPT, but on conversations. Google-killer?

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AWS Machine Learning Blog

AUGUST 14, 2023

In this post and accompanying notebook, we demonstrate how to deploy the BloomZ 176B foundation model using the SageMaker Python simplified SDK in Amazon SageMaker JumpStart as an endpoint and use it for various natural language processing (NLP) tasks. You can also access the foundation models thru Amazon SageMaker Studio.

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AWS Machine Learning Blog

FEBRUARY 6, 2023

Contact centers are using artificial intelligence (AI) and natural language processing (NLP) technologies to build a personalized customer experience and deliver effective self-service support through conversational bots. We end by explaining how contact centers can keep AI models up to date using Talkdesk AI Trainer.

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NVIDIA

FEBRUARY 11, 2025

Startup NLP Cloud , a member of the NVIDIA Inception program that nurtures cutting-edge startups, says it uses about 25 large language models in a commercial offering that serves airlines, pharmacies and other users. One paper catalogs and classifies more than 50 major transformer models alone (see chart below).

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ODSC - Open Data Science

FEBRUARY 17, 2023

Five Ways to Safely Use Generative AI From workers using chatbots as research assistants to creating art through image generators and more, here are a few ways that you can safely use generative AI. Here’s how you can uncover actionable textual and geospatial patterns related to counter human trafficking using NLP.

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John Snow Labs

JULY 28, 2023

John Snow Labs, has introduced their Healthcare NLP library and a suite of healthcare-specific LLMs, offering industry-leading accuracy and privacy. With robust security and privacy controls, scalability, and the ability to provide accurate and explainable answers, the Medical Chatbot is transforming healthcare conversations.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

Prerequisites To create and run this compound AI system in your AWS account, complete the following prerequisites: Create an AWS account if you dont already have one. Clone the GitHub repository and follow the steps explained in the README. His area of research is all things natural language (like NLP, NLU, and NLG).

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ODSC - Open Data Science

OCTOBER 20, 2023

At the AI Expo and Demo Hall as part of ODSC West in a few weeks, you’ll have the opportunity to meet one-on-one with representatives from industry-leading organizations like Microsoft Azure, Hewlett Packard, Iguazio, neo4j, Tangent Works, Qwak, Cloudera, and others. Check them out below. Check them out for free!

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TransOrg Analytics

APRIL 8, 2025

Heres how AI is transforming operations: Predictive Analytics : Forecasting market trends, customer behavior, and supply chain risks. Conversational AI : Chatbots and virtual agents provide 24/7 customer support. AI-enhanced RPA : Automating repetitive workflows with high precision.

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ML Review

DECEMBER 16, 2019

The main venue alone had more than 100 graph-related publications, and even more were available at three workshops: Graph Representation Learning (about 100 more papers), Knowledge Representation & Reasoning Meets Machine Learning (KR2ML) (about 50 papers), Conversational AI. So we’ll consider all events jointly.

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AWS Machine Learning Blog

JUNE 25, 2024

This post aims to explain the concept of guardrails, underscore their importance, and covers best practices and considerations for their effective implementation using Guardrails for Amazon Bedrock or other tools. The following notebook demonstrates the integration of NeMo with Amazon Bedrock.

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Topbots

MARCH 2, 2023

Descartes is credited with developing algebra to explain geometry. A geometric shape could be explained by a series of equations (algebra), whereby coordinates located a point, points determined lines and lines determined planes and shape. Chaos theory also demonstrated perhaps a more significant point.

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AWS Machine Learning Blog

DECEMBER 6, 2023

Despite the seemingly unstoppable adoption of LLMs across industries, they are one component of a broader technology ecosystem that is powering the new AI wave. Many conversational AI use cases require LLMs like Llama 2, Flan T5, and Bloom to respond to user queries. These models rely on parametric knowledge to answer questions.

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ODSC - Open Data Science

FEBRUARY 5, 2025

A key focus was on the paradigm shift from traditional conversational AI to agentic applications capable of orchestrating complex tasks autonomously. The session included a hands-on demonstration of building an AI agent from scratch, using blockchain for orchestration.

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Topbots

JANUARY 11, 2023

.” — Sir Arthur Eddington In Part 1 of this series, I said “I will refrain from saying that Generative Artificial Intelligence (AI) is the basis for a third school of epistemology”, but recently, I read about the challenges in Generative AI from the perspective of metaphysics. Professor Hannah Fry explains this point well.

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Snorkel AI

AUGUST 24, 2023

Model explainability. Banks can use these models to fine-tune their interactive voice responses and train conversational AI to automatically respond to queries over chat, email, and text. Cross-team collaboration in the platform allows experts from across the organization to encode their domain expertise into labeling functions.

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Topbots

JULY 29, 2024

Introduction to Generative AI by Google Cloud Level: Beginner Duration: Specialization with 4 courses (approximately 4 hours total) Cost: Free Instructor: Google Cloud Training Team Audience: This course is ideal for individuals looking to deepen their understanding of generative AI and large language models.

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Topbots

MAY 17, 2023

For a deep-dive into the Denoising DIffusion Probabilistic Model (DDPM) introduced in the paper, check out the following Youtube video: DDPM – Diffusion Models Beat GANs on Image Synthesis (Machine Learning Research Paper Explained) Where can you get implementation code? The official implementation of this paper is available on GitHub.

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Topbots

NOVEMBER 14, 2023

AI-powered platforms can search through vast amounts of data from various sources like job boards, social media, and corporate databases to identify potential candidates. Interview scheduling and candidate engagement are other areas where AI is making a significant impact. Companies must use diverse data and audit AI systems for bias.

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Heartbeat

NOVEMBER 6, 2023

The advent of Large Language Models (LLMs) has changed the Artificial Intelligence (AI) landscape. These powerful Natural Language Processing (NLP) models bring conversational AI to mainstream applications as business leaders move to integrate their products with chat-based capabilities.

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Topbots

FEBRUARY 1, 2023

Another popular way to look at this new wealth creation model is as the fusion of the physical, natural and digital into a system of information, an updated version of John Wheeler’s seminal “It to Bit” (that was explained in Part-2 of this series of articles). 6] Complexity: A Very Short Introduction by John H.

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Pickl AI

SEPTEMBER 11, 2024

Overview of ChatGPT and Its Key Features ChatGPT’s core strength lies in its natural language processing (NLP) capabilities. Some key features of ChatGPT include: Conversational Abilities: Engages in fluid and contextually appropriate dialogues. Perplexity Perplexity is a hybrid between a conversational AI and a search engine.

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Pragnakalp

NOVEMBER 16, 2023

In this blog, we’ll explain things simply and walk you through building chatbots with AWS Lex and other AWS services. The post Getting Started with Amazon Lex: A Beginner’s Guide to Chatbot Development appeared first on Pragnakalp Techlabs: AI, NLP, Chatbot, Python Development.

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Topbots

SEPTEMBER 11, 2023

Let’s say that your content generation runs smoothly, but you hear more and more complaints about a general lack of AI transparency and explainability. Well, in AI products, you can pause this fight and use both to your advantage.

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Topbots

JULY 7, 2023

Then, explain the available cars that match their preferences”. For example, if you are building a car sales assistant, one possible system message could be “You are a car sales assistant. Use a friendly tone and ask questions to the users until you understand their necessity.

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