Marktechpost

MARCH 19, 2024

IBM researchers have introduced LAB (Large-scale Alignment for chatbots) to address the scalability challenges encountered during the instruction-tuning phase of training large language models (LLMs). To address these challenges, the paper introduces LAB (Large-scale Alignment for chatbots), a novel methodology for instruction tuning.

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Large Language Models LLM Natural Language Processing Chatbots 125

Unite.AI

JANUARY 2, 2024

Large Language Models (LLMs) have contributed to advancing the domain of natural language processing (NLP), yet an existing gap persists in contextual understanding. This step effectively communicates the information and context with the LLM , ensuring a comprehensive understanding for accurate output generation.

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LLM Large Language Models Chatbots Natural Language Processing 243

Towards AI

SEPTEMBER 10, 2023

Why LLM-powered chatbots haven’t taken the world by storm just yet This member-only story is on us. Following this introduction, businesses from all sectors became captivated by the prospect of training LLMs with their data to build their own domain-specific… Read the full blog for free on Medium.

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LLM Prompt Engineer Prompt Engineering Large Language Models 120

Artificial Corner

JULY 30, 2023

In this world of complex terminologies, someone who wants to explain Large Language Models (LLMs) to some non-tech guy is a difficult task. So that’s why I tried in this article to explain LLM in simple or to say general language. No training examples are needed in LLM Development but it’s needed in Traditional Development.

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Large Language Models LLM Natural Language Processing Deep Learning 98

Towards AI

SEPTEMBER 10, 2023

Why LLM-powered chatbots haven’t taken the world by storm just yet This member-only story is on us. Following this introduction, businesses from all sectors became captivated by the prospect of training LLMs with their data to build their own domain-specific… Read the full blog for free on Medium.

LLM 98

LLM Prompt Engineer Prompt Engineering Large Language Models 98

Towards AI

AUGUST 18, 2023

Screenshot | Taken By The Author | All rights reserved In October 2022, when I began experimenting with Large Language Models (LLMs), my initial inclination was to explore text completions, classifications, NER, and other NLP-related areas. This transition coincided with an industry buzz around chatbots. Our vision?

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LLM Chatbots Large Language Models OpenAI 98

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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LLM Large Language Models Natural Language Processing AI Researcher 59

John Snow Labs

SEPTEMBER 26, 2023

Experts Share Perspectives on How Advanced NLP Technologies Will Shape Their Industries and Unleash Better & Faster Results. to be precise) of data scientists and engineers plan to deploy Large Language Model (LLM) applications into production in the next 12 months or “as soon as possible.” billion by the end of 2030.

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NLP Large Language Models LLM Data Scientist 52

Topbots

FEBRUARY 19, 2024

However, building a successful LLM application involves much more than just leveraging advanced technology. When embarking on the journey of building an LLM application, one of the first and most crucial decisions is choosing the foundation model. Create Targeted Evaluation Sets for Comparing LLM Performance in Your Specific Use Case.

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LLM Natural Language Processing Automation Data Ingestion 64

StreamHacker

APRIL 15, 2023

Run a Chatbot Locally How You Can Install A ChatGPT-like Personal AI On Your Own Computer And Run It With No Internet. The ecosystem around GPT & Large Language Models is changing quickly but these are good places to get started.

LLM 52

LLM Large Language Models Chatbots ChatGPT 52

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. Retrieval augments LLMs by allowing huge external context.

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Large Language Models Prompt Engineer Prompt Engineering LLM 130

Towards AI

MAY 20, 2023

Technical Challenges Building a custom Language Model (LLM) involves challenges related to model architecture, training, evaluation, and validation. Choosing the appropriate architecture and parameters requires expertise, and training custom LLMs demands advanced machine-learning skills.

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LLM Large Language Models Chatbots Natural Language Processing 89

Unite.AI

NOVEMBER 30, 2023

Randy and I both come from finance and algorithmic trading backgrounds, which led us to take the concept of matching requests with answers to build our own NLP for hyper-specific inquiries that would get asked at locations. We had a scheduled press release to announce our patent-pending Context-based NLP upgrade for December 6, 2022.

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Large Language Models LLM Conversational AI NLP 147

Unite.AI

SEPTEMBER 1, 2023

Many companies have experience with natural language processing (NLP) and low-level chatbots, but GenAI is accelerating how data can be integrated, interpreted, and converted into business outcomes. The Journey from NLP to Large Language Model (LLM) Technology has been trying to make sense of natural languages for decades now.

Generative AI 147

Generative AI LLM AI AI 147

Allen AI

JUNE 19, 2023

How to be mindful of current risks when using chatbots and writing assistants By Maria Antoniak , Li Lucy , Maarten Sap , and Luca Soldaini Have you used ChatGPT, Bard, or other large language models (LLMs)? Have you interacted with a chatbot or used an automatic writing assistant? However, they can also just make stuff up.

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Large Language Models LLM Chatbots Explainability 143

Becoming Human

MAY 15, 2023

When it comes to AI, there are a number of subfields, like Natural Language Processing (NLP). One of the models used for NLP is the Large Language Model (LLMs). As a result, LLMs have become a key tool for a wide range of NLP applications. ChatGPT , a chatbot developed by the OpenAI team, is an example of an LLM.

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Large Language Models ChatGPT Neural Network LLM 124

Unite.AI

AUGUST 28, 2023

With advancements in deep learning, natural language processing (NLP), and AI, we are in a time period where AI agents could form a significant portion of the global workforce. These AI agents, transcending chatbots and voice assistants, are shaping a new paradigm for both industries and our daily lives.

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Auto-complete ChatGPT Large Language Models AI 240

Pragnakalp

FEBRUARY 1, 2024

Create a Project To start with a new chatbot development in Dialogflow, we need to create a project. Create an Agent To start with a new chatbot development in Dialogflow, we need to create an agent. The post Build an AI Chatbot using a Generative AI Model with Dialogflow Knowledge Base. Or you can create a new Google account.

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Chatbots AI Chatbots Generative AI AI Modeling 59

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.

LLM 52

LLM Auto-complete Large Language Models Machine Learning 52

Towards AI

FEBRUARY 29, 2024

Introducing a successful Gen AI tool has multiple advantages, such as reducing costs by having a chatbot rather than a human and increasing productivity. This technique is especially effective for knowledge-intensive NLP tasks such as question-answering tasks. The image below demonstrates the RAG proposed conceptual flow overview.

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Large Language Models NLP LLM Chatbots 104

Marktechpost

JANUARY 10, 2024

In simple terms, RAG is a natural language processing (NLP) approach that blends retrieval and generation models to enhance the quality of generated content. It addresses challenges faced by Large Language Models (LLMs), including limited knowledge access, lack of transparency, and hallucinations in answers.

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Natural Language Processing Large Language Models LLM Data Ingestion 107

Towards AI

MAY 2, 2023

Natural Language Processing (NLP) and advanced AI technologies can allow users to interact with their data intuitively by asking questions in plain language. The entire Web based chatbot is built with ChatGPT and Langchain. Use plain English to build ML models to identify profitable customer segments.

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Chatbots ML Natural Language Processing ChatGPT 80

John Snow Labs

JANUARY 29, 2024

Several such case studies were presented by the US Veteran’s Administration , ClosedLoop , and WiseCube at John Snow Labs’ annual Natural Language Processing (NLP) Summit , now the world’s largest gathering of applied NLP and LLM practitioners.

Natural Language Processing 52

Natural Language Processing Chatbots Large Language Models NLP 52

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. Imagine chatbots equipped with prompt-engineered AI, answering customer questions accurately and efficiently.

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Prompt Engineer Prompt Engineering Large Language Models Chatbots 52

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. Posh Technologies is a Boston, Massachusetts-based conversational AI and NLP technology development company.

Chatbots 59

Chatbots NLP Data Scientist OpenAI 59

Towards AI

FEBRUARY 29, 2024

Introducing a successful Gen AI tool has multiple advantages, such as reducing costs by having a chatbot rather than a human and increasing productivity. This technique is especially effective for knowledge-intensive NLP tasks such as question-answering tasks. The image below demonstrates the RAG proposed conceptual flow overview.

Large Language Models 93

Large Language Models NLP LLM Chatbots 93

ODSC - Open Data Science

JANUARY 31, 2024

But, now that you have the makings of an LLM or even a model, how will your team turn your model into an AI beast that can enhance your company’s productivity? There are now many groups who are ready to fill in the gap and help companies unlock the potential of their LLMs. Let’s explore some of the top contenders.

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Large Language Models LLM Data Science NLP 52

Marktechpost

JULY 22, 2023

Recently, MLC-LLM has been introduced, which is an open framework that brings LLMs directly into a broad class of platforms like CUDA, Vulkan, and Metal that, too, with GPU acceleration. MLC LLM enables language models to be deployed natively on a wide range of hardware backends, including CPUs and GPUs and native applications.

LLM 52

LLM Large Language Models Natural Language Processing Artificial Intelligence 52

Towards AI

FEBRUARY 29, 2024

Introducing a successful Gen AI tool has multiple advantages, such as reducing costs by having a chatbot rather than a human and increasing productivity. This technique is especially effective for knowledge-intensive NLP tasks such as question-answering tasks. The image below demonstrates the RAG proposed conceptual flow overview.

Large Language Models 84

Large Language Models NLP LLM Chatbots 84

ODSC - Open Data Science

NOVEMBER 8, 2023

In this blog, we’ll explore ten key aspects of building generative AI applications, including large language model basics, fine-tuning, and core NLP competencies. LLM Basics First and foremost, you need to understand the basics of generative AI and LLMs, such as key terminology, uses, potential issues, and primary frameworks.

Generative AI 52

Generative AI Prompt Engineer Prompt Engineering LLM 52

ODSC - Open Data Science

FEBRUARY 6, 2024

Check out some of the LLM-focused training sessions, workshops, and talks you’ll find at the conference. 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

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Large Language Models LLM Big Data NLP 52

Towards AI

DECEMBER 28, 2023

The introduction of attention mechanisms has notably altered our approach to working with deep learning algorithms, leading to a revolution in the realms of computer vision and natural language processing (NLP). LLMs can perform many types of language tasks, such as translating languages, analyzing sentiments, chatbot conversations etc.

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Large Language Models Natural Language Processing Prompt Engineer Prompt Engineering 109

Marktechpost

JULY 26, 2023

Many recent natural language processing (NLP) community efforts have focused on teaching large language models to understand better and follow instructions. Recent research has demonstrated that LLMs may also benefit from teachings. It is based on LLMs trained using vast volumes of text data from the internet, such as GPT-3.5

LLM 52

LLM Large Language Models ChatGPT Natural Language Processing 52

NVIDIA

NOVEMBER 15, 2023

The paper, with coauthors from the former Facebook AI Research (now Meta AI), University College London and New York University, called RAG “a general-purpose fine-tuning recipe” because it can be used by nearly any LLM to connect with practically any external resource. Today, LLMs are taking question-answering systems to a whole new level.

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LLM Generative AI AI Modeling Neural Network 136

ODSC - Open Data Science

FEBRUARY 28, 2024

building a deeper understanding of this hot LLM paradigm’s weaknesses, strengths, and limitations ,” there to learn more about Retrieval Augmentation Generation! Retrieval Augmented Generation (RAG) is by far one of the most popular and effective techniques to bring LLMs to production. This is a classic LLM hallucination.

LLM 52

LLM Chatbots Data Science Software Engineer 52

Chatbots Life

MAY 16, 2023

Top 5 Generative AI Integration Companies Generative AI integration into existing chatbot solutions serves to enhance the conversational abilities and overall performance of chatbots. By integrating generative AI, chatbots can generate more natural and human-like responses, allowing for a more engaging and satisfying user experience.

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Generative AI Chatbots Conversational AI Software Development 98

Unite.AI

DECEMBER 4, 2023

GPT 3 and similar Large Language Models (LLM) , such as BERT , famous for its bidirectional context understanding, T-5 with its text-to-text approach, and XLNet , which combines autoregressive and autoencoding models, have all played pivotal roles in transforming the Natural Language Processing (NLP) paradigm.

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Large Language Models BERT Neural Network Natural Language Processing 217