Marktechpost

JANUARY 22, 2024

Large Language Models (LLMs) are crucial to maximizing efficiency in natural language processing. These models, central to various applications ranging from language translation to conversational AI, face a critical challenge in the form of inference latency.

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Unite.AI

FEBRUARY 19, 2024

RPA Bots Becoming Super Bots: Driving Intelligent Decision Making RPA bots that originally operated on rule-based programs through learning patterns and emulating human behavior for performing repetitive and menial tasks have become super bots, with Conversational AI and Neural Network algorithms coming into force.

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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. This requires building a custom evaluation set.

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IBM Journey to AI blog

SEPTEMBER 19, 2023

How does generative AI code generation work? Generative AI for coding is possible because of recent breakthroughs in large language model (LLM) technologies and natural language processing (NLP). Some generative AI for code tools automatically create unit tests to help with this.

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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. In comparison to the more powerful LLMs, this severely restricts their potential.

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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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Marktechpost

JANUARY 8, 2024

The review also acknowledges the challenges and potential future developments in LLM technology, laying the groundwork for an in-depth exploration of these advanced models. Recognizing and embracing the growing significance of LLMs in shaping the technological landscape and their impact on society.

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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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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. A significant challenge in incorporating computer programs in healthcare settings lies in information processing. Read our Q&A with Lavender below!

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Topbots

OCTOBER 31, 2023

Predictive AI and Generative AI in Customer Support Predictive AI has been enhancing customer support for some time now, offering advanced analytics, feedback analysis, and resource allocation. The rise of generative AI technologies with next-level conversational AI agents is taking customer support to new heights.

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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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AWS Machine Learning Blog

APRIL 24, 2024

An AI assistant is an intelligent system that understands natural language queries and interacts with various tools, data sources, and APIs to perform tasks or retrieve information on behalf of the user. The decision is made with the support of an LLM by passing the system prompt, chat history, and user’s question.

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Heartbeat

JANUARY 18, 2024

Understanding Llama v2 Llama 2, a natural language processing library from Meta, consists of pre-trained and fine-tuned large language models (LLMs) whose scale ranges from 7 billion to 70 billion parameters. The Llama 2-Chat is optimized to support human conversation use cases. or even GPT 4?

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ODSC - Open Data Science

MAY 9, 2024

Trending Large Language Models DBRX This model hopes to shake the world of large language models by setting a new standard for enterprise-grade natural language processing. Its key features include open-source accessibility, scalability, and seamless integration with the popular Databricks platform.

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Topbots

OCTOBER 4, 2023

The basic difference is that predictive AI outputs predictions and forecasts, while generative AI outputs new content. Here are a few examples across various domains: Natural Language Processing (NLP) : Predictive NLP models can categorize text into predefined classes (e.g.,

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Snorkel AI

AUGUST 24, 2023

Natural language processing to extract key information quickly. However, banks may encounter roadblocks when integrating AI into their complaint-handling process. Data quality is essential for the success of any AI project but banks are often limited in their ability to find or label sufficient data.

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Snorkel AI

AUGUST 24, 2023

Natural language processing to extract key information quickly. However, banks may encounter roadblocks when integrating AI into their complaint-handling process. Data quality is essential for the success of any AI project but banks are often limited in their ability to find or label sufficient data.

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Large Language Models AI AI Natural Language Processing 52

Snorkel AI

AUGUST 24, 2023

Natural language processing to extract key information quickly. However, banks may encounter roadblocks when integrating AI into their complaint-handling process. Data quality is essential for the success of any AI project but banks are often limited in their ability to find or label sufficient data.

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Large Language Models AI AI Natural Language Processing 52

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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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). Top LLM Research Papers 2023 1.

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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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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.

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Marktechpost

JANUARY 17, 2024

The field of natural language processing has been transformed by the advent of Large Language Models (LLMs), which provide a wide range of capabilities, from simple text generation to sophisticated problem-solving and conversational AI.

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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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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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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

NOVEMBER 16, 2023

An In-depth Look into Evaluating AI Outputs, Custom Criteria, and the Integration of Constitutional Principles Photo by Markus Winkler on Unsplash Introduction In the age of conversational AI, chatbots, and advanced natural language processing, the need for systematic evaluation of language models has never been more pronounced.

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Topbots

JULY 6, 2023

In the rapidly evolving field of artificial intelligence, natural language processing has become a focal point for researchers and developers alike. Q-former is pre-trained with a new two-stage strategy: The first pre-training stage performs vision-language representation learning. What are the results?

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AssemblyAI

MAY 3, 2023

This is heavily due to the popularization (and commercialization) of a new generation of general purpose conversational chatbots that took off at the end of 2022, with the release of ChatGPT to the public. Thanks to the widespread adoption of ChatGPT, millions of people are now using Conversational AI tools in their daily lives.

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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. ChatGPT is a next-generation language model (referred to as GPT-3.5) Researchers are developing techniques to make LLM training more efficient.

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Explosion

FEBRUARY 15, 2023

As many large financial institutions push to use Natural Language Processing (NLP) to digitize their customer support channels, smaller financial institutions like credit unions and community banks are having a tough time to keep pace. Can you tell us about your team and what you’re working on? Our upcoming Prodigy v1.12

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PyImageSearch

MARCH 4, 2024

Review: Million-Token AI Changes Everything What Is a Large Language Model (LLM)? Review: Million-Token AI Changes Everything Well, the Artificial intelligence (AI) race continues with Google Announcing Gemini 1.5, the next generation Google Large Language Model (LLM). What Is Google Gemini?

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Topbots

JANUARY 30, 2023

They are forced to learn only from the surface form of language, and their success criterion is not communicative efficiency but the reproduction of high-probability linguistic patterns. In the business context, this can lead to bad surprises when too much power is given to an LLM.

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Topbots

DECEMBER 5, 2023

This embodied language model seamlessly integrates multi-modal sentences containing visual, continuous state estimation, and textual information. These inputs are trained end-to-end with a pre-trained LLM and applied to various embodied tasks, including sequential robotic manipulation planning, visual question answering, and captioning.

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AWS Machine Learning Blog

FEBRUARY 19, 2024

It augments prompts with these relevant chunks to generate an answer using the LLM. Therefore, a managed solution that handles these undifferentiated tasks could streamline and accelerate the process of implementing and managing RAG applications. The prompt alongside the additional context is then sent to a LLM for response generation.

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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.

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