Marktechpost

NOVEMBER 14, 2023

Medical data extraction, analysis, and interpretation from unstructured clinical literature are included in the emerging discipline of clinical natural language processing (NLP). Even with its importance, particular difficulties arise while developing methodologies for clinical NLP. If you like our work, you will love our newsletter.

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Ehud Reiter

DECEMBER 19, 2023

Papers mentioned in blogs I have talked about some of the 2023 papers which impressed me in previous blogs, including What LLMs cannot do A bad way to measure hallucination LLM hype brings memories of IBM Watson Future of NLG evaluation: LLMs and high quality human eval? Which is great! D Demszky et al (2023). G Lapalme (2023).

NLP 124

NLP Large Language Models LLM Algorithm 124

Analytics Vidhya

JULY 28, 2023

Learn to master prompt engineering for LLM applications with LangChain, an open-source Python framework that has revolutionized the creation of cutting-edge LLM-powered applications. Introduction In the digital age, language-based applications play a vital role in our lives, powering various tools like chatbots and virtual assistants.

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Prompt Engineer Prompt Engineering LLM Python 201

Marktechpost

FEBRUARY 29, 2024

Existing methods, like direct finetuning of LLMs on user interaction data, show promise in powering various NLP tasks and enhancing user modeling. The researchers from Google research have proposed USER-LLM , a framework integrating user embeddings with LLMs to adapt dynamically to user context.

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Artificial Intelligence Artificial Intelligence LLM Large Language Models 128

Analytics Vidhya

MAY 23, 2023

With advanced large […] The post 10 Exciting Projects on Large Language Models(LLM) appeared first on Analytics Vidhya. A portfolio of your projects, blog posts, and open-source contributions can set you apart from other candidates. You can demonstrate your skills by creating smaller projects from start to finish.

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Large Language Models LLM Software Development Data Science 283

Becoming Human

APRIL 19, 2024

An ideal defense strategy should make the LLM safe against the unsafe inputs without making it over-defensive on the safe inputs. Figure 1: An ideal defense strategy (bottom) should make the LLM safe against the ‘unsafe prompts’ without making it over-defensive on the ‘safe prompts’. Self-Safety Check of Input (S.

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LLM Large Language Models Algorithm Natural Language Processing 111

Marktechpost

MAY 17, 2024

Natural Language Processing (NLP) is a cutting-edge field that enables machines to understand, interpret, & generate human language. Large language models (LLMs) have significantly advanced these applications by leveraging vast data to perform tasks with high accuracy, almost matching human performance.

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LLM Large Language Models Natural Language Processing NLP 115

Unite.AI

JANUARY 10, 2024

By integrating the sophisticated language processing capabilities of models like ChatGPT with the versatile and widely-used Scikit-learn framework, Scikit-LLM offers an unmatched arsenal for delving into the complexities of textual data. Why Scikit-LLM? and the user-friendly environment of Scikit-learn. Installation %%capture !pip

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Large Language Models LLM Machine Learning Natural Language Processing 147

Marktechpost

MARCH 6, 2024

The natural language processing (NLP) field has witnessed significant advancements with the emergence of Large Language Models (LLMs) like GPT and LLaMA. These models have become essential tools for various tasks, prompting a growing need for proprietary LLMs among individuals and organizations. Check out the Paper and Github.

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LLM Large Language Models Neural Network Natural Language Processing 102

Towards AI

DECEMBER 29, 2023

Last Updated on December 30, 2023 by Editorial Team Author(s): Lan Chu Originally published on Towards AI. LLMs are not useful if they are not sufficiently accurate. Obviously, the most reliable way to evaluate an LLM system is to create an evaluation dataset and compare the model-generated output with the evaluation set.

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Marktechpost

APRIL 12, 2024

Natural Language Processing (NLP) tasks heavily rely on text embedding models as they translate the semantic meaning of text into vector representations. These representations make it possible to quickly complete a variety of NLP tasks, including information retrieval, grouping, and semantic textual similarity. Million AI Audience?

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LLM Large Language Models NLP Natural Language Processing 104

Marktechpost

APRIL 6, 2024

Transformers have transformed the field of NLP over the last few years, with LLMs like OpenAI’s GPT series, BERT, and Claude Series, etc. Let’s delve into the role of transformers in NLP and elucidate the process of training LLMs using this innovative architecture. appeared first on MarkTechPost.

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Large Language Models NLP Convolutional Neural Networks Neural Network 120

Marktechpost

FEBRUARY 27, 2024

Its development responds to the pressing need for a unified interface that simplifies complex LLM workflows, making them more accessible and manageable for researchers. DataDreamer offers a suite of functionalities that significantly lower the barriers to effective LLM use.

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LLM Large Language Models Python NLP 138

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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Natural Language Processing NLP Large Language Models Responsible AI 98

AI Weekly

MAY 2, 2024

In the News Coalition of news publishers sue Microsoft and OpenAI A coalition of major news publishers has filed a lawsuit against Microsoft and OpenAI, accusing the tech giants of unlawfully using copyrighted articles to train their generative AI models without permission or payment. Planning a GenAI or LLM project? techmonitor.ai

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OpenAI Natural Language Processing Robotics LLM 147

Marktechpost

FEBRUARY 3, 2024

In the dynamic field of Artificial Intelligence (AI), the trajectory from one foundational model to another has represented an amazing paradigm shift. Using a technique known as LLM-as-a-Judge prompting, the language model assesses and rewards its own outputs for doing this. While requiring 2.2

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Artificial Intelligence Artificial Intelligence LLM Large Language Models 139

AI Weekly

APRIL 11, 2024

We explore how AI can transform roles and boost performance across business functions, customer operations and software development. The Microsoft AI London outpost will focus on advancing state-of-the-art language models, supporting infrastructure, and tooling for foundation models. No legacy process is safe.

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Robotics Large Language Models Artificial Intelligence Artificial Intelligence 207

Marktechpost

DECEMBER 30, 2023

Language models, particularly large ones, have become ubiquitous in AI applications, raising the need for models that align with human values and intentions. link] A team of researchers from Tencent AI Lab and The Chinese University of Hong Kong introduced Contrastive Unlikelihood Training (CUT) to address this challenge.

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LLM AI AI NLP 122

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

Marktechpost

SEPTEMBER 13, 2023

Lately, Large language models (LLMs) are excelling in NLP and multimodal tasks but are facing two significant challenges: high computational costs and difficulties in conducting fair evaluations. These costs limit LLM development to a few major players, restricting research and applications. Check out the Paper and Code.

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LLM Large Language Models NLP AI Researcher 128

Marktechpost

NOVEMBER 9, 2023

These Natural Language Processing (NLP) based models handle large and complicated datasets, which causes them to face a unique challenge in the finance industry. They are drawn from both self-constructed and available NLP datasets. They aim to answer inquiries and offer guidance on financial matters.

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Large Language Models LLM NLP Natural Language Processing 121

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). In conclusion, the paper introduces LAB as a novel methodology to address the scalability challenges in instruction tuning for LLMs.

Large Language Models 124

Large Language Models LLM Natural Language Processing Chatbots 124

Unite.AI

FEBRUARY 7, 2024

This is why Machine Learning Operations (MLOps) has emerged as a paradigm to offer scalable and measurable values to Artificial Intelligence (AI) driven businesses. LLMs are deep neural networks that can generate natural language texts for various purposes, such as answering questions, summarizing documents, or writing code.

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Machine Learning Large Language Models LLM BERT 294

Marktechpost

FEBRUARY 29, 2024

Large Language Models (LLMs) have extended their capabilities to different areas, including healthcare, finance, education, entertainment, etc. These models have utilized the power of Natural Language Processing (NLP), Natural Language Generation (NLG), and Computer Vision to dive into almost every industry.

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Large Language Models LLM Machine Learning Natural Language Processing 130

Topbots

APRIL 29, 2024

If this in-depth educational content is useful for you, subscribe to our AI mailing list to be alerted when we release new material. Overview Papers on Reasoning in LLMs Several research papers provide a comprehensive survey of cutting-edge research on reasoning with large language models. Reasoning process.

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LLM Large Language Models Natural Language Processing AI Researcher 59

NYU Center for Data Science

DECEMBER 1, 2023

The quest to refine AI’s understanding of extensive textual data has recently been advanced due to two recent papers by CDS PhD student Jason Phang , who is the first author of two recent NLP papers that secured “best paper” accolades at ICML 2023 and EMNLP 2023.

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NLP Large Language Models Natural Language Processing AI 79

Marktechpost

MARCH 3, 2024

Central to Natural Language Processing (NLP) advancements are large language models (LLMs), which have set new benchmarks for what machines can achieve in understanding and generating human language. One of the primary challenges in NLP is the computational demand for autoregressive decoding in LLMs.

Machine Learning 129

Machine Learning AI Researcher AI Research Large Language Models 129

Topbots

FEBRUARY 19, 2024

In the rapidly evolving AI landscape, Large Language Models (LLMs) have emerged as powerful tools, driving innovation across various sectors. From enhancing customer service experiences to providing insightful data analysis, the applications of LLMs are vast and varied.

LLM 64

LLM Natural Language Processing Automation Data Ingestion 64

Towards AI

SEPTEMBER 1, 2023

Last Updated on September 2, 2023 by Editorial Team Author(s): Patrick Meyer Originally published on Towards AI. NER Task with Spacy-LLM This member-only story is on us. Photo by Alexander Grey on Unsplash Thanks to their size, large language models (LLMs) have acquired formidable language processing skills.

LLM 109

LLM Large Language Models Deep Learning Python 109

Allen AI

FEBRUARY 1, 2024

As the world races to deploy AI models that are effective and safe, the demand for Open Large Language Models (LLMs) has exploded. The massive adoption of both open and closed AI models means that AI capabilities have leapfrogged our ability to understand how they are created.

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LLM Large Language Models AI Researcher AI Research 76

Unite.AI

SEPTEMBER 1, 2023

Let’s begin here: Yes, the opportunities for Generative AI (GenAI) are immense. 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. I started working on NLP programs almost a decade ago.

Generative AI 147

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John Snow Labs

OCTOBER 16, 2023

The recent NLP Summit served as a vibrant platform for experts to delve into the many opportunities and also challenges presented by large language models (LLMs). As the market for generative AI solutions is poised to hit $51.8 billion by 2028, LLMs play a pivotal role in this growth trajectory.

Large Language Models 52

Large Language Models NLP Metadata LLM 52

Snorkel AI

APRIL 3, 2024

Foundation models, large language models, and generative AI have exploded in importance in recent years. Concurrently, researchers in academia and here at Snorkel AI increasingly understand that data scientists must enforce evaluation methods to make these powerful tools valuable in any setting.

LLM 59

LLM Large Language Models Data Scientist AI Modeling 59

Towards AI

SEPTEMBER 10, 2023

Last Updated on September 11, 2023 by Editorial Team Author(s): Aashish Nair Originally published on Towards AI. Why LLM-powered chatbots haven’t taken the world by storm just yet This member-only story is on us. Join thousands of data leaders on the AI newsletter. Published via Towards AI

LLM 120

LLM Prompt Engineer Prompt Engineering Large Language Models 120

John Snow Labs

MAY 13, 2024

Spark NLP & LLM The Healthcare Library is a powerful component of John Snow Labs’ Spark NLP platform, designed to facilitate NLP tasks within the healthcare domain. The post Next-Level Relation Extraction in Healthcare NLP: Introducing New Directional and Contextual Features appeared first on John Snow Labs.

NLP 52

NLP Natural Language Processing Large Language Models LLM 52

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. Retrieval Augmented Generation (RAG) is a powerful Artificial Intelligence (AI) framework designed to address the context gap by optimizing LLM’s output.

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Marktechpost

JULY 20, 2023

Natural language processing (NLP) has seen a paradigm shift in recent years, with the advent of Large Language Models (LLMs) that outperform formerly relatively tiny Language Models (LMs) like GPT-2 and T5 Raffel et al. on a variety of NLP tasks. Figure 1 depicts a sample of the summarising job.

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