Unite.AI

JANUARY 23, 2024

Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. What are Large Language Models and Why are They Important? Their foundational nature allows them to be fine-tuned for a wide variety of downstream NLP tasks.

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Flipboard

FEBRUARY 19, 2025

Additionally, we discuss some of the responsible AI framework that customers should consider adopting as trust and responsible AI implementation remain crucial for successful AI adoption. Amazon Bedrock hosts and manages the large language models (LLMs) , currently using Claude 3.5

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ODSC - Open Data Science

JULY 3, 2023

We’re hearing a lot about large language models, or LLMs recently in the news. 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.

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John Snow Labs

SEPTEMBER 24, 2024

We describe the open-source LangTest library, which can automate the generation and execution of more than 100 types of Responsible AI tests. We then introduce Pacific AI, which provides a no-code interface for this capability for domain experts, as well as automating many of the best practices on how these tools should be used.

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Unite.AI

JANUARY 1, 2025

AI chatbots, for example, are now commonplace with 72% of banks reporting improved customer experience due to their implementation. Integrating natural language processing (NLP) is particularly valuable, allowing for more intuitive customer interactions. The average cost of a data breach in financial services is $4.45

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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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Unite.AI

JULY 11, 2023

Introduction to Large Language Models Image Source Course difficulty: Beginner-level Completion time: ~ 45 minutes Prerequisites: No What will AI enthusiasts learn? This course explores LLMs (Large Language Models) – AI models trained on large amounts of textual data.

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John Snow Labs

JANUARY 25, 2024

With early customers already in production and presenting public case studies of their successes, John Snow Labs will continue to innovate and improve its large language models (LLMs) for healthcare. The no-code NLP Lab platform has experienced 5x growth by teams training, tuning, and publishing AI models.

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ODSC - Open Data Science

MARCH 10, 2025

Researchers and practitioners explored complex architectures, from transformers to reinforcement learning , leading to a surge in sessions on natural language processing (NLP) and computervision. Simultaneously, concerns around ethical AI , bias , and fairness led to more conversations on Responsible AI.

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Marktechpost

MAY 30, 2024

Learners will gain hands-on experience with image classification models using public datasets. Natural Language Processing on Google Cloud This course introduces Google Cloud products and solutions for solving NLP problems. It covers how to develop NLP projects using neural networks with Vertex AI and TensorFlow.

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ODSC - Open Data Science

AUGUST 24, 2023

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Editor’s note: Jayachandran Ramachandran and Rohit Sroch are speakers for ODSC APAC this August 22–23. As LLMs become integral to AI applications, ethical considerations take center stage.

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Prompt Engineer Prompt Engineering Large Language Models Responsible AI 52

AWS Machine Learning Blog

JANUARY 30, 2025

The AWS Social Responsibility & Impact (SRI) team recognized an opportunity to augment this function using generative AI. The team developed an innovative solution to streamline grant proposal review and evaluation by using the natural language processing (NLP) capabilities of Amazon Bedrock.

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Prompt Engineer Prompt Engineering Generative AI Software Development 99

Marktechpost

MAY 6, 2024

In the quickly changing field of Natural Language Processing (NLP), the possibilities of human-computer interaction are being reshaped by the introduction of advanced conversational Question-Answering (QA) models. Recently, Nvidia has published a competitive Llama3-70b QA/RAG fine-tune. The Llama3-ChatQA-1.5 was developed.

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Large Language Models Natural Language Processing NLP Responsible AI 120

Heartbeat

OCTOBER 12, 2023

Large language models have been game-changers in artificial intelligence, but the world is much more than just text. These language models are breaking boundaries, venturing into a new era of AI — Multi-Modal Learning. However, the influence of large language models extends beyond text alone.

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ODSC - Open Data Science

MARCH 12, 2025

AI engineering extended this by integrating AI systems more deeply into software engineering pipelines, making it a crucial field as AI applications became more sophisticated and embedded in real-world systems. Takeaway: The industrys focus has shifted from building models to making them robust, scalable, and maintainable.

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IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. Manage a range of machine learning models with watstonx.ai

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ODSC - Open Data Science

JANUARY 31, 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. This way you can get your model working quickly and effectively.

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Large Language Models LLM Data Science NLP 52

Unite.AI

FEBRUARY 21, 2025

Large Language Models (LLMs) have significantly advanced natural language processing (NLP), excelling at text generation, translation, and summarization tasks. However, their ability to engage in logical reasoning remains a challenge.

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Marktechpost

JUNE 8, 2024

Microsoft’s AI courses offer comprehensive coverage of AI and machine learning concepts for all skill levels, providing hands-on experience with tools like Azure Machine Learning and Dynamics 365 Commerce.

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Unite.AI

AUGUST 28, 2024

AI21 Labs has introduced a new solution with Jamba, a state-of-the-art large language model (LLM) that combines the strengths of both Transformer and Mamba architectures in a hybrid framework. AI21 Labs emphasizes several important points: Base Model Nature : Jamba 1.5 A New Chapter in AI Development?

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Large Language Models NLP Natural Language Processing Responsible AI 130

ODSC - Open Data Science

FEBRUARY 15, 2024

Large language models have taken the world by storm, offering impressive capabilities in natural language processing. However, while these models are powerful, they can often benefit from fine-tuning or additional training to optimize performance for specific tasks or domains.

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Unite.AI

SEPTEMBER 7, 2023

In artificial intelligence (AI), the power and potential of Large Language Models (LLMs) are undeniable, especially after OpenAI’s groundbreaking releases such as ChatGPT and GPT-4. As we explore the landscape of LLM vulnerabilities, it becomes evident that innovation comes with responsibility.

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LLM Large Language Models Prompt Engineer Prompt Engineering 173

Marktechpost

JULY 4, 2023

For the unaware, ChatGPT is a large language model (LLM) trained by OpenAI to respond to different questions and generate information on an extensive range of topics. It can translate multiple languages, generate unique and creative user-specific content, summarize long text paragraphs, etc. What is prompt engineering?

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AWS Machine Learning Blog

MARCH 14, 2025

Organizations building and deploying AI applications, particularly those using large language models (LLMs) with Retrieval Augmented Generation (RAG) systems, face a significant challenge: how to evaluate AI outputs effectively throughout the application lifecycle. Prior to Amazon, Evangelia completed her Ph.D.

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John Snow Labs

NOVEMBER 9, 2023

Introduction Building applications with language models involves many moving parts. Evaluation and testing are both critical when thinking about deploying Large Language Model (LLM) applications. QA models play a crucial role in retrieving answers from text, particularly in document search.

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Marktechpost

SEPTEMBER 23, 2024

OpenAI’s decision to introduce the MMMLU dataset addresses this challenge by offering a robust, multilingual, and multitask dataset designed to assess the performance of large language models (LLMs) on various tasks. The release of MMMLU addresses several pertinent challenges in the AI community.

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ODSC - Open Data Science

AUGUST 29, 2023

Since OpenAI’s ChatGPT kicked down the door and brought large language models into the public imagination, being able to fully utilize these AI models has quickly become a much sought-after skill. With that said, companies are now realizing that to bring out the full potential of AI, prompt engineering is a must.

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Prompt Engineer Prompt Engineering Large Language Models Natural Language Processing 98

Marktechpost

AUGUST 9, 2024

LG AI Research has recently announced the release of EXAONE 3.0. The release as an open-source large language model is unique to the current version with great results and 7.8B LG AI Research is driving a new development direction, marking it competitive with the latest technology trends. parameters.

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John Snow Labs

MAY 21, 2024

This combination of nine benchmarks challenges AI models to answer thousands of medical licensing exam questions (MedQA), biomedical research questions (PubMedQA), and college-level exams in anatomy, genetics, biology, and medicine (MMLU). As achievable accuracy continues to improve, so do requirements for production-ready models.

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LLM Large Language Models NLP Responsible AI 98

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.”

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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. Generative AI chatbots have been known to insult customers and make up facts.

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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. LangTest offers a systematic approach to validate models against biases and perturbations like typos, varying textual cases, and more.

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John Snow Labs

SEPTEMBER 19, 2024

The post John Snow Labs Awarded Phase I SBIR Contract for the Development of Medical Large Language Models for Infectious and Immune-Mediated Diseases appeared first on John Snow Labs.

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AWS Machine Learning Blog

FEBRUARY 12, 2025

Large language models (LLMs) have revolutionized the field of natural language processing with their ability to understand and generate humanlike text. The following diagram from Role-Play with Large Language Models illustrates this flow. Manos Stergiadis is a Senior ML Scientist at Booking.com.

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John Snow Labs

JANUARY 14, 2025

Momentum in 2024 includes: Spark NLP adoption growing to 130 million total downloads-50 million more than the previous year. The curated Models Hub crossed 100,000 models, of which 63% are now LLMs.

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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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John Snow Labs

NOVEMBER 1, 2023

Previously, the HuggingFace masked model approach was employed for this evaluation which can be found in this blogpost. However, in our discussion, we will shift the focus to Large Language Models (LLMs) and detail the evaluation process within this context.

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