Marktechpost

OCTOBER 1, 2024

Natural language processing (NLP) has experienced a surge in progress with the emergence of large language models (LLMs), which are utilized in various applications such as text generation, translation, and conversational agents. On specific multilingual translation tasks, the proposed method recorded a speedup ratio of up to 2.42

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Unite.AI

JULY 22, 2024

His latest venture, OpenFi , equips large companies with conversational AI on WhatsApp to onboard and nurture customer relationships. Can you explain why you believe the term “chatbot” is inadequate for describing modern conversational AI tools like OpenFi? We refer to our conversational AI as Superhuman.

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AWS Machine Learning Blog

OCTOBER 11, 2024

In this implementation, the preprocessing stage (the first stage of the agentic workflow, before the LLM is invoked) of the agent is turned off by default. To learn more about using agents to orchestrate workflows, see Automate tasks in your application using conversational agents.

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Topbots

DECEMBER 5, 2023

Top LLM Research Papers 2023 1. LLaMA by Meta AI Summary The Meta AI team asserts that smaller models trained on more tokens are easier to retrain and fine-tune for specific product applications. The instruction tuning involves fine-tuning the Q-Former while keeping the image encoder and LLM frozen.

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Topbots

JULY 24, 2023

The strategies presented in this article, are primarily relevant for developers building large language model (LLM) applications. Whether you’re engaging in AI-based conversations using ChatGPT or similar models like Claude or Bard, these guidelines will help enhance your overall experience with conversational AI.

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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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Unite.AI

FEBRUARY 19, 2024

In the modern business context, hyperautomation is a technological extrapolation to amplify the enterprise digital journey by accelerating crucial innovation initiatives, AI adoption, and driving digital decision-making. Simply put, it is a superior iteration of intelligent automation. This shift is expected to become the norm by 2024.

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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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Topbots

AUGUST 31, 2023

With the rush to adopt generative AI to stay competitive, many businesses are overlooking key risks associated with LLM-driven applications. Our analysis is informed by the OWASP Top 10 for LLM vulnerabilities list, which is published and constantly updated by the Open Web Application Security Project (OWASP).

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Heartbeat

FEBRUARY 8, 2024

This evolution paved the way for the development of conversational AI. The recent rise of Large Language Models (LLMs) has been a game changer for the ChatBot industry. These models are trained on extensive data and have been the driving force behind conversational tools like BARD and ChatGPT. Run the following command:

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Unite.AI

SEPTEMBER 24, 2024

Exploring LangChain LangChain is a helpful framework designed to simplify AI models' development, integration, and deployment, particularly those focused on Natural Language Processing (NLP) and conversational AI. Next, LangChain is installed and configured to integrate with NVIDIA NIM.

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ODSC - Open Data Science

MAY 1, 2023

A big way is with containerization by using tools such as Docker to package an LLM and its dependencies into a single container. Monitoring Models Monitoring LLM models in production is critical to ensure that they are performing well and meeting the needs of users.

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Marktechpost

MARCH 1, 2024

Researchers from the NLP Group, Department of Computer Science and Technology, Institute for Artificial Intelligence, Beijing Information Science and Technology National Research Center, Tsinghua University introduced a novel framework named Ouroboros, which emerges as a beacon of innovation.

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Topbots

APRIL 29, 2024

This paper, first published in December 2022, may not cover the most recent developments in LLM reasoning but still offers a comprehensive survey of available approaches. They also explore the potential future directions in the field, aiming to bridge the gap between LLM capabilities and human-like reasoning. Reasoning process.

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AWS Machine Learning Blog

JUNE 25, 2024

However, the implementation of LLMs without proper caution can lead to the dissemination of misinformation , manipulation of individuals, and the generation of undesirable outputs such as harmful slurs or biased content. Introduction to guardrails for LLMs The following figure shows an example of a dialogue between a user and an LLM.

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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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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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Chatbots Life

MAY 16, 2023

Master of Code partners with the world’s leading brands to design, develop and launch apps, chat, and voice Сonversational AI experiences across a multitude of channels. as a certified partner for delivering end-to-end Conversational AI professional services leveraging LivePerson’s Conversational Cloud.

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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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Marktechpost

JANUARY 16, 2025

LLMs have significantly advanced natural language processing, excelling in tasks like open-domain question answering, summarization, and conversational AI. These efforts aim to refine the quote-based RAG pipeline, making high-performing NLP systems more scalable and resource-efficient. Check out the Paper.

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Analytics Vidhya

MARCH 23, 2023

In a world where artificial intelligence (AI) continues transforming industries, privacy concerns are increasingly becoming a hot topic. The recent revelation that an AI known as ‘Bard’ has been trained with users’ Gmail data has sparked widespread debate amongst the masses.

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NYU Center for Data Science

JUNE 30, 2023

NYUTron , the large language model (LLM), is able to read physicians’ notes and estimate patients’ risk of death, length of hospital stays, and other health factors. When Eric became a neurosurgeon, the idea fully formulated when he considered the usefulness of having an AI assistant who could read along with him and chime in with advice.

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ODSC - Open Data Science

MAY 1, 2023

To learn more about the technology that is currently taking over your conversations and newsfeeds, check out these upcoming ODSC East sessions. NLP with GPT-4 and other LLMs: From Training to Deployment with Hugging Face and PyTorch Lightning Dr. Jon Krohn｜Chief Data Scientist｜Nebula.io Jon Krohn｜Chief Data Scientist｜Nebula.io

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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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AWS Machine Learning Blog

DECEMBER 5, 2024

Used alongside other techniques such as prompt engineering, RAG, and contextual grounding checks, Automated Reasoning checks add a more rigorous and verifiable approach to enhancing the accuracy of LLM-generated outputs. Click on the image below to see a demo of Automated Reasoning checks in Amazon Bedrock Guardrails.

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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. pip install -qU sagemaker pinecone-client==2.2.1

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Flipboard

JANUARY 14, 2025

Large language model (LLM) based AI agents that have been specialized for specific tasks have demonstrated great problem-solving capabilities. Whenever user interaction is required, we use an independent LLM-based user simulator to provide feedback. Since 2024, Raphael worked on multi-agent collaboration with LLM-based agents.

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Marktechpost

JULY 3, 2023

With the release of the latest chatbot developed by OpenAI called ChatGPT, the field of AI has taken over the world as ChatGPT, due to its GPT’s transformer architecture, is always in the headlines. Almost every industry is utilizing the potential of AI and revolutionizing itself.

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AWS Machine Learning Blog

JUNE 8, 2023

If you are looking to get started with generative AI and the use of LLMs in conversational AI, this post is for you. We have included a sample project to quickly deploy an Amazon Lex bot that consumes a pre-trained open-source LLM. We also use LangChain, a popular framework that simplifies LLM-powered applications.

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Topbots

AUGUST 22, 2023

Large Language Models (LLMs) present a unique challenge when it comes to performance evaluation. Unlike traditional machine learning where outcomes are often binary, LLM outputs dwell in a spectrum of correctness. auto-evaluation) and using human-LLM hybrid approaches. Consider harnessing LLMs for building an evaluation set.

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Marktechpost

FEBRUARY 15, 2025

AI has witnessed rapid advancements in NLP in recent years, yet many existing models still struggle to balance intuitive responses with deep, structured reasoning. While proficient in conversational fluency, traditional AI chat models often fail to meet when faced with complex logical queries requiring step-by-step analysis.

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AWS Machine Learning Blog

MAY 3, 2023

Generative AI (GenAI) and large language models (LLMs), such as those available soon via Amazon Bedrock and Amazon Titan are transforming the way developers and enterprises are able to solve traditionally complex challenges related to natural language processing and understanding. The response from the LLM is sent back to the user.

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AWS Machine Learning Blog

AUGUST 14, 2023

An application using the RAG approach retrieves information most relevant to the user’s request from the enterprise knowledge base or content, bundles it as context along with the user’s request as a prompt, and then sends it to the LLM to get a response. The LLM returns with a response that is based on the retrieved documents.

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Topbots

JULY 6, 2023

To test this suggestion, they trained a 175B-parameter autoregressive language model, called GPT-3 , and evaluated its performance on over two dozen NLP tasks. The second pre-training stage performs vision-to-language generative learning by connecting the output of the Q-Former to a frozen LLM. What are the results?

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AWS Machine Learning Blog

OCTOBER 24, 2024

Agentic workflows are a fresh new perspective in building dynamic and complex business use- case based workflows with the help of large language models (LLM) as their reasoning engine or brain. In this case, use prompt engineering techniques to call the default agent LLM and generate the email validation code.

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ODSC - Open Data Science

FEBRUARY 16, 2024

As you’ve likely already seen out in the wild, many businesses are interested in building question-answering tools, chatbots, conversational AI, recommender systems, and diving into customer service applications. The future of customer interactions is conversational, personalized, and powered by AI.

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Mlearning.ai

JUNE 7, 2023

Photo by Eugene Zhyvchik on Unsplash I wanted to share a short perspective of the radical evolution we have seen in NLP. I’ve been working on NLP problems since word2vec was released, and it has been remarkable to see how quickly the models, problems, and applications have evolved. GPT-2 released with 1.5

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