Unite.AI

SEPTEMBER 7, 2023

We are seeing a progression of Generative AI applications powered by large language models (LLM) from prompts to retrieval augmented generation (RAG) to agents. Now we could build a nice chatbot that would interact with users and via a chat command apply for leave in the system. Sounds exciting!?

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AWS Machine Learning Blog

APRIL 29, 2024

In recent years, large language models (LLMs) have gained attention for their effectiveness, leading various industries to adapt general LLMs to their data for improved results, making efficient training and hardware availability crucial. Continual Pre-Training of Large Language Models: How to (re) warm your model?

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Unite.AI

JANUARY 23, 2024

Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. From chatbots to search engines to creative writing aids, LLMs are powering cutting-edge applications across industries.

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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.

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ODSC - Open Data Science

JULY 3, 2023

We’re hearing a lot about large language models, or LLMs recently in the news. Because of this, LLMs have a wide range of potential applications, including in the fields of natural language processing, machine translation, and text generation. LLaMA-65B is competitive with the best models, Chinchilla70B and PaLM-540B.

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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.

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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.

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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.

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AWS Machine Learning Blog

FEBRUARY 5, 2025

As large language models (LLMs) become increasingly integrated into customer-facing applications, organizations are exploring ways to leverage their natural language processing capabilities. Integrating with Amazon SageMaker JumpStart to utilize the latest large language models with managed solutions.

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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.

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Unite.AI

MARCH 15, 2024

The search engine uses a proprietary language model, ensuring unique and effective search capabilities. Features AI tools: Moreover, You.com presents a variety of AI-enhanced tools, including an image generator, a chatbot, and a writer. This search engine filters content based on meaning instead of keywords.

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IBM Journey to AI blog

JULY 23, 2024

collection of multilingual large language models (LLMs). comprises both pretrained and instruction-tuned text in/text out open source generative AI models in sizes of 8B, 70B and—for the first time—405B parameters. today, with the 8B and 70B models soon to follow. The instruction-tuned Llama 3.1-405B,

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LLM Large Language Models Generative AI Responsible AI 249

NVIDIA

MAY 1, 2024

Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and which showcases new hardware, software, tools and accelerations for RTX PC users. ChatRTX also now supports ChatGLM3, an open, bilingual (English and Chinese) LLM based on the general language model framework.

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Marktechpost

NOVEMBER 22, 2024

It helps developers identify and fix model biases, improve model accuracy, and ensure fairness. Arize helps ensure that AI models are reliable, accurate, and unbiased, promoting ethical and responsible AI development. It’s well-suited for building and deploying large language models.

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AWS Machine Learning Blog

OCTOBER 16, 2024

The following were some initial challenges in automation: Language diversity – The services host both Dutch and English shows. Some local shows feature Flemish dialects, which can be difficult for some large language models (LLMs) to understand. Release frequency – New shows, episodes, and movies are released daily.

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Marktechpost

JULY 4, 2023

Over a million users are already using the revolutionary chatbot for interaction. For the unaware, ChatGPT is a large language model (LLM) trained by OpenAI to respond to different questions and generate information on an extensive range of topics. Prompt is the text fed to the Large Language Model.

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Marktechpost

JUNE 19, 2024

Introduction to Generative AI Learning Path Specialization This course offers a comprehensive introduction to generative AI, covering large language models (LLMs), their applications, and ethical considerations. The learning path comprises three courses: Generative AI, Large Language Models, and Responsible AI.

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AWS Machine Learning Blog

MARCH 20, 2025

The benefits of using Amazon Bedrock Data Automation Amazon Bedrock Data Automation provides a single, unified API that automates the processing of unstructured multi-modal content, minimizing the complexity of orchestrating multiple models, fine-tuning prompts, and stitching outputs together.

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John Snow Labs

SEPTEMBER 5, 2023

Topics Covered Include Large Language Models, Semantic Search, ChatBots, Responsible AI, and the Real-World Projects that Put Them to Work John Snow Labs , the healthcare AI and NLP company and developer of the Spark NLP library, today announced the agenda for its annual NLP Summit, taking place virtually October 3-5.

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ODSC - Open Data Science

JANUARY 31, 2024

In short, think of this LLM framework as a normal chatbot but on steroids. EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI.

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NVIDIA

JANUARY 11, 2024

Below are the report’s key findings, which show how the financial services industry is evolving as advanced AI becomes more accessible. Fifty-five percent of survey respondents reported that they were actively seeking generative AI workflows for their companies.

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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.”

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IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. Manage a range of machine learning models with watstonx.ai

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AWS Machine Learning Blog

MARCH 18, 2025

Today, generative AI can help bridge this knowledge gap for nontechnical users to generate SQL queries by using a text-to-SQL application. This application allows users to ask questions in natural language and then generates a SQL query for the users request. However, off-the-shelf LLMs cant be used without some modification.

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IBM Journey to AI blog

AUGUST 16, 2023

Evolution of AI tools ChatGPT harnesses the immense power of GPT-3 and GPT-4 , belonging to a new class of “gargantuan” and widely popular large language models used in various AI applications. Similarly, Meta recently released its impressive LLaMA2 model.

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ODSC - Open Data Science

MARCH 25, 2025

Survey respondents indicated an overwhelming adoption of AI-powered solutions, particularly Conversational AI, AI-assisted coding, and proprietary AI solutions. Conversational AI platforms (90%) have become indispensable. They assist with research, automate responses, and enhance customer engagement.

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John Snow Labs

JANUARY 25, 2024

Attributed to its state-of-the-art artificial intelligence (AI) models and proven customer success, the focus on generative AI has gained the company industry recognition. The newly released Medical Chatbot provides a conversational interface to a suite of medical knowledge bases, updated daily.

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AWS Machine Learning Blog

OCTOBER 29, 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 through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible 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. Generative AI chatbots have been known to insult customers and make up facts. But how trustworthy is that training data? Trustworthiness is critical.

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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). The post Building a RAG LLM Clinical Chatbot with John Snow Labs in Databricks appeared first on John Snow Labs.

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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). The post Building a RAG LLM Clinical Chatbot with John Snow Labs in Databricks appeared first on John Snow Labs.

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Topbots

DECEMBER 5, 2023

Generated with DALL-E 3 In the rapidly evolving landscape of Natural Language Processing, 2023 emerged as a pivotal year, witnessing groundbreaking research in the realm of Large Language Models (LLMs). The code implementation of the original LLaMA-1 model is available here on GitHub.

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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.

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AWS Machine Learning Blog

OCTOBER 17, 2023

To tackle this challenge, Amazon Pharmacy built a generative AI question and answering (Q&A) chatbot assistant to empower agents to retrieve information with natural language searches in real time, while preserving the human interaction with customers. The solution is HIPAA compliant, ensuring customer privacy.

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Towards AI

JULY 27, 2024

While Open AI’s ChatGPT and Google’s Bard, now Gemini, get most of the limelight, Claude AI stands out for its impressive features and being the most reliable and ethical Large Language Model. In this article, we will learn more about what Claude AI is and what are its unique features.

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AWS Machine Learning Blog

JUNE 25, 2024

Large language models (LLMs) enable remarkably human-like conversations, allowing builders to create novel applications. LLMs find use in chatbots for customer service , virtual assistants , content generation , and much more. Approved inputs and responses continue the standard flow. or “How do I build explosives?”

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Marktechpost

DECEMBER 12, 2023

Thanks to the success in increasing the data, model size, and computational capacity for auto-regressive language modeling, conversational AI agents have witnessed a remarkable leap in capability in the last few years. These new applications need thorough testing and cautious rollouts to reduce potential dangers.

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