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. LLaMA was trained on publicly available datasets.

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ODSC - Open Data Science

MAY 11, 2023

The latest wave of innovation around large language models (LLMs), such as ChatGPT and GPT-4, is rapidly transforming the world of bot building. This is something that Microsoft has worked to address, by creating responsible AI by design.

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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

FEBRUARY 7, 2024

But more than MLOps is needed for a new type of ML model called Large Language Models (LLMs). 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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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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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

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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

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.

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ODSC - Open Data Science

MARCH 11, 2024

Introducing the Topic Tracks for ODSC East 2024 — Highlighting Gen AI, LLMs, and Responsible AI ODSC East 2024 , coming up this April 23rd to 25th, is fast approaching and this year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners.

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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. Furthermore, it seamlessly integrates into deployment and model monitoring pipelines, ensuring models are primed for deployment.

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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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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.

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John Snow Labs

OCTOBER 19, 2023

This post explores the complex relationship between bias and machine learning models, highlighting how biases can silently seep into systems intended to enhance our decision-making abilities. Understanding the Impact of Bias on NLP Models Why test NLP models for Bias?

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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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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). The code implementation of the original LLaMA-1 model is available here on GitHub.

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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

JANUARY 29, 2024

John Snow Labs , the AI for healthcare company, has won the 2024 Global 100 Award for the Best Medical Application of Large Language Models (LLMs). The award recognizes not only the company’s product innovation, but also its established customer success.

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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.

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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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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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AWS Machine Learning Blog

MAY 22, 2024

Using machine learning (ML) and natural language processing (NLP) to automate product description generation has the potential to save manual effort and transform the way ecommerce platforms operate. One of the main advantages of high-quality product descriptions is the improvement in searchability.

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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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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.

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ODSC - Open Data Science

MAY 27, 2024

At this year’s ODSC East , Leondra Gonzalez gave a compelling talk on navigating a career in data science given recent technological advances in AI. Since ChatGPT became widely available to the public in 2022, AI technology has become even more buzzworthy.

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AWS Machine Learning Blog

AUGUST 11, 2023

Natural language processing (NLP) is the field in machine learning (ML) concerned with giving computers the ability to understand text and spoken words in the same way as human beings can. A common practice for NLP downstream tasks is to take a pre-trained LLM and fine-tune it.

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John Snow Labs

NOVEMBER 6, 2023

By providing an organized framework for logging and versioning, MLFlow Tracking helps teams ensure their models are developed and deployed with transparency and precision. 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.

ML 52

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John Snow Labs

NOVEMBER 8, 2023

Introduction Natural Language Processing (NLP) and Large Language Models (LLMs) in particular have evolved to enable new levels of comprehending and generating human language.

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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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IBM Journey to AI blog

AUGUST 16, 2023

Evolution of AI tools ChatGPT harnesses the immense power of GPT-3 and GPT-4 , belonging to a new class of “gargantuan” and widely popular large language models used in various AI applications. Similarly, Meta recently released its impressive LLaMA2 model.

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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.

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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.

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AWS Machine Learning Blog

JANUARY 4, 2024

One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. Instead of dealing with complex technical code, business users and data analysts can ask questions related to data and insights in plain language. gymnast_id = t2.

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John Snow Labs

OCTOBER 19, 2023

As we delve into the inner workings of these AI marvels, you’ll soon discover that there’s a game-changer on the horizon that involves a simple yet revolutionary solution — synthetic data. Inspired by the groundbreaking, Simple synthetic data reduces sycophancy in large language models research by Google.

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Heartbeat

FEBRUARY 29, 2024

After closely observing the software engineering landscape for 23 years and engaging in recent conversations with colleagues, I can’t help but feel that a specialized Large Language Model (LLM) is poised to power the following programming language revolution.

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AWS Machine Learning Blog

MAY 13, 2024

In part 1 of this blog series, we discussed how a large language model (LLM) available on Amazon SageMaker JumpStart can be fine-tuned for the task of radiology report impression generation. This model is used for the clinical summarization tasks where we evaluate the few-shot and zero-shot prompting techniques.

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AWS Machine Learning Blog

MAY 21, 2024

Retrieval Augmented Generation (RAG) models have emerged as a promising approach to enhance the capabilities of language models by incorporating external knowledge from large text corpora. Naive RAG models face limitations such as missing content, reasoning mismatch, and challenges in handling multimodal data.

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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. What is the corresponding model architecture? What data can power this task and model? Segment anything model workflow by Meta AI Where does “Responsible AI” fit into this work?

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