John Snow Labs

OCTOBER 19, 2023

Understanding the Impact of Bias on NLP Models Why test NLP models for Bias? Natural Language Processing (NLP) models rely heavily on bias to function effectively. This is due to the fact that bias helps NLP models to identify important features and relationships among data points.

NLP 52

NLP Natural Language Processing AI AI 52

Unite.AI

JULY 11, 2023

Introduction to Responsible AI Image Source Course difficulty: Beginner-level Completion time: ~ 1 day (Complete the quiz/lab in your own time) Prerequisites: No What will AI enthusiasts learn? What is Responsible Artificial Intelligence ? An introduction to the 7 Responsible AI principles of Google.

Generative AI 189

Generative AI BERT Natural Language Processing Large Language Models 189

Unite.AI

FEBRUARY 7, 2024

LLMs are deep neural networks that can generate natural language texts for various purposes, such as answering questions, summarizing documents, or writing code. LLMs, such as GPT-4 , BERT , and T5 , are very powerful and versatile in Natural Language Processing (NLP).

Machine Learning 294

Machine Learning Large Language Models LLM BERT 294

John Snow Labs

SEPTEMBER 4, 2023

The field of Natural Language Processing (NLP) has been greatly impacted by the advancements in machine learning, leading to a significant improvement in linguistic understanding and generation. However, new challenges have emerged with the development of these powerful NLP models. Is Your NLP Model Truly Robust?

NLP 52

NLP Automation Natural Language Processing Large Language Models 52

Unite.AI

MARCH 22, 2024

Since OpenAI unveiled ChatGPT in late 2022, the role of foundational large language models (LLMs) has become increasingly prominent in artificial intelligence (AI), particularly in natural language processing (NLP). This could redefine how knowledge transfer and innovation occur.

Large Language Models 297

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Unite.AI

MARCH 27, 2024

AI: From Origin to Future The journey of AI traces back to visionaries like Alan Turing and John McCarthy , who conceptualized machines capable of learning and reasoning. Milestones such as IBM's Deep Blue defeating chess grandmaster Garry Kasparov in 1997 demonstrated AI’s computational capabilities.

AI 278

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ODSC - Open Data Science

AUGUST 29, 2023

AI Prompt Engineer An AI Prompt Engineer is a specialized professional at the forefront of the AI and NLP landscape. For those who might not know, this role acts as a bridge between human intent and machine understanding, shaping the interactions we have with AI systems.

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Prompt Engineer Prompt Engineering Large Language Models Natural Language Processing 98

IBM Journey to AI blog

SEPTEMBER 20, 2023

While that can mean hiring new talent like data scientists and software programmers, it should also mean providing existing workers with the training they need to manage AI-related projects. The goal is to free up time for public employees to engage in high value meetings, creative thinking and meaningful work.

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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

NYU Center for Data Science

DECEMBER 12, 2023

The Center for Responsible AI (NYU R/AI) is leading this charge by embedding ethical considerations into the fabric of artificial intelligence research and development. The Center for Responsible AI is a testament to NYU’s commitment to pioneering research that upholds and advances these ideals.

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ODSC - Open Data Science

AUGUST 17, 2023

Evolving Trends in Prompt Engineering, a Primer to Scaling Pandas, and Enriching ERP with Generative AI Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices In this blog post, our objective is to illuminate the constantly evolving research around the LLMs space, including prompt engineering.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Natural Language Processing Artificial Intelligence 52

John Snow Labs

OCTOBER 19, 2023

Natural language processing (NLP) is a critical branch of artificial intelligence devoted to understanding and generating natural language. However, NLP systems are susceptible to biases, often mirroring the prejudices found in their training data. Some example samples.

BERT 52

BERT Natural Language Processing NLP Categorization 52

ODSC - Open Data Science

DECEMBER 1, 2023

Work with Generative Artificial Intelligence (AI) Models in Azure Machine Learning The purpose of this course is to give you hands-on practice with Generative AI models. You’ll explore the use of generative artificial intelligence (AI) models for natural language processing (NLP) in Azure Machine Learning.

Data Science 52

Data Science Large Language Models DevOps Machine Learning 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. Their foundational nature allows them to be fine-tuned for a wide variety of downstream NLP tasks. Responsible AI tooling remains an active area of innovation.

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Large Language Models Prompt Engineer Prompt Engineering LLM 130

Marktechpost

JULY 4, 2023

For example, an AI system skilled in identifying images of cats might classify all black-and-white images as cats, leading to imprecise results. Encouraging responsible AI: Prompt engineering can help AI systems have conclusions that bring human values and ethical principles into line.

Prompt Engineer 111

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John Snow Labs

SEPTEMBER 4, 2023

Often in Natural Language Processing (NLP), we often judge a model’s success based on how accurate it is. But this approach can be misleading because it doesn’t show how well the model handles real-world language. LangTest LangTest is an open-source Python library that facilitates the evaluation of NLP models.

NLP 52

NLP Natural Language Processing Python Categorization 52

John Snow Labs

NOVEMBER 6, 2023

On the other hand, LangTest has emerged as a transformative force in the realm of Natural Language Processing (NLP) and Large Language Model (LLM) evaluation. LangTest has already made waves in the AI community, showcasing its efficacy in identifying and resolving significant Responsible AI challenges.

ML 52

ML Natural Language Processing BERT Large Language Models 52

IBM Journey to AI blog

AUGUST 16, 2023

While ChatGPT has gained significant attention and popularity, it faces competition from other AI-powered chatbots and natural language processing (NLP) systems. Google, for example, has developed Bard , its AI chatbot, which is powered by its own language engine called PaLM 2.

ChatGPT 144

ChatGPT Chatbots Natural Language Processing AI Chatbots 144

IBM Journey to AI blog

OCTOBER 16, 2023

Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data. Foundation models offer a breakthrough in AI capabilities to enable scalable and efficient deployment across various domains.

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Metadata Explainability Automation AI 193

IBM Journey to AI blog

OCTOBER 9, 2023

In the business world, AI could offer companies a competitive edge over peers slow to adopt machine learning, natural language processing (NLP) and generative capabilities. AI has also begun to provide concrete use cases indicating how the technology can help improve customer service in a tangible way.

Automation 135

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Allen AI

FEBRUARY 1, 2024

It’s the equivalent of drug discovery without clinical trials or studying the solar system without a telescope,” said Hanna Hajishirzi , OLMo project lead, a senior director of NLP Research at AI2, and a professor in the UW’s Allen School.

LLM 76

LLM Large Language Models AI Researcher AI Research 76

Unite.AI

SEPTEMBER 7, 2023

From spreading misinformation to facilitating unauthorized access, the fallout from these vulnerabilities underscores the critical need for responsible AI development. As we explore the landscape of LLM vulnerabilities, it becomes evident that innovation comes with responsibility. Want to enhance your AI IQ?

LLM 173

LLM Large Language Models Prompt Engineer Prompt Engineering 173

ODSC - Open Data Science

JULY 3, 2023

Because of this, LLMs have a wide range of potential applications, including in the fields of natural language processing, machine translation, and text generation. If successful, this could lead to more efficient NLP models in the future.

Large Language Models 98

Large Language Models Natural Language Processing Data Science Prompt Engineer 98

John Snow Labs

AUGUST 30, 2023

ner posology —  Spark NLP Models Hub The ner posology model by John Snow Labs is specifically designed for posology NER tasks in the healthcare domain. LangTest for Evaluation LangTest is an open-source Python library that facilitates the evaluation of NLP models. you can refer to the Spark NLP Display section in the documentation.

NLP 52

NLP Natural Language Processing Python Responsible AI 52

John Snow Labs

OCTOBER 19, 2023

Introduction Negation and Toxicity In the world of Natural Language Processing (NLP), we’re always trying to make language models smarter and more in tune with how humans communicate. That’s where LangTest comes in — it’s like a super useful tool for checking how well NLP models get these nuances.

Large Language Models 52

Large Language Models NLP Natural Language Processing OpenAI 52

Heartbeat

AUGUST 4, 2023

One element that makes this study more important is that they have put forward an approach that adopts the ethical principles of Responsible AI. Task The inspiration for this study is zero-hot and few-shot learning by using the “prompting” techniques used in NLP, especially for new datasets.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Computer Vision Deep Learning 52

John Snow Labs

OCTOBER 19, 2023

Generating Synthetic NLP Data to Reduce Sycophancy In our continued pursuit of taming sycophantic behavior in AI models on mathematical data, we focus on Natural Language Processing (NLP). paws : A dataset tailor-made for paraphrase identification, a crucial natural language understanding component.

LLM 52

LLM NLP Large Language Models Categorization 52

Ofemwire

MARCH 1, 2024

AI-generated content should focus on delivering accurate information, engaging narratives, and useful insights while incorporating SEO best practices to maintain quality and relevance. Highlight real-world examples of AI-driven innovations and their implications for businesses, consumers, and society at large.”

AI 111

AI AI Natural Language Processing Explainability 111

ODSC - Open Data Science

JANUARY 29, 2024

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. NLP skills have long been essential for dealing with textual data.

Prompt Engineer 52

Prompt Engineer Prompt Engineering LLM Data Science 52

TheSequence

MAY 29, 2023

This successful implementation demonstrates how responsible AI and high-performing models can align. Responsible AI starts with a responsible approach to data The promise of Large Language Models (LLMs) is that they will help us with a variety of different tasks. Looking through 6.4

LLM 52

LLM Responsible AI Natural Language Processing Software Engineer 52

John Snow Labs

AUGUST 31, 2023

This study introduces LangTest , an innovative open-source Python library crafted to empower developers in the assessment and enhancement of Natural Language Processing (NLP) models. Such oversights only become evident post-deployment, leading to significant implications.

Large Language Models 52

Large Language Models LLM NLP OpenAI 52

ODSC - Open Data Science

APRIL 21, 2023

Generative AI has the world on fire. With its applications in creativity, automation, business, advancements in NLP, and deep learning, the technology isn’t only opening new doors, but igniting the public imagination. Codex, and ChatGPT, to address these use cases and bring unique levels of efficiency to their operations.

Generative AI 52

Generative AI Large Language Models Prompt Engineer Prompt Engineering 52

ODSC - Open Data Science

FEBRUARY 15, 2024

Large language models have taken the world by storm, offering impressive capabilities in natural language processing. But if you want to keep up on the latest in large language models, and not be left in the dust, then you don’t want to miss the NLP & LLM track as part of ODSC East this April.

Large Language Models 52

Large Language Models LLM Robotics Data Science 52

Unite.AI

APRIL 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP) by demonstrating remarkable capabilities in generating human-like text, answering questions, and assisting with a wide range of language-related tasks.

Large Language Models 277

Large Language Models Prompt Engineer Prompt Engineering Neural Network 277

John Snow Labs

NOVEMBER 1, 2023

Gender-Occupational Stereotypes in LLMs Introduction In the realm of artificial intelligence and natural language processing, addressing bias and stereotypes is now a pressing concern. Language models, celebrated for their linguistic prowess, have faced scrutiny for perpetuating gender and occupational stereotypes.

Large Language Models 52

Large Language Models Natural Language Processing OpenAI Artificial Intelligence 52

Heartbeat

FEBRUARY 29, 2024

Understanding LLMs: A Brief Overview Large Language Models, such as OpenAI’s GPT-3 and successors, are a product of advances in artificial intelligence, particularly in natural language processing (NLP).

Software Engineer 52

Software Engineer Software Development LLM Large Language Models 52

Unite.AI

APRIL 9, 2024

Composite AI is a cutting-edge approach to holistically tackling complex business problems. These techniques include Machine Learning (ML), deep learning , Natural Language Processing (NLP) , Computer Vision (CV) , descriptive statistics, and knowledge graphs. Transparency is fundamental for responsible AI usage.

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