AssemblyAI

SEPTEMBER 18, 2023

However, among all the modern-day AI innovations, one breakthrough has the potential to make the most impact: large language models (LLMs). Large language models can be an intimidating topic to explore, especially if you don't have the right foundational understanding.

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Analytics Vidhya

MAY 20, 2024

Introduction Artificial intelligence has made tremendous strides in Natural Language Processing (NLP) by developing Large Language Models (LLMs). These models, like GPT-3 and GPT-4, can generate highly coherent and contextually relevant text.

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Unite.AI

DECEMBER 4, 2023

Small Language Models (SLM) are emerging and challenging the prevailing narrative of their larger counterparts. Despite their excellent language abilities these models are expensive due to high energy consumption, considerable memory requirements as well as heavy computational costs.

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Large Language Models BERT Neural Network Natural Language Processing 217

Unite.AI

OCTOBER 2, 2023

Imagine you're an Analyst, and you've got access to a Large Language Model. ” Large Language Model, for all their linguistic power, lack the ability to grasp the ‘ now ‘ And in the fast-paced world, ‘ now ‘ is everything. My last training data only goes up to January 2022.”

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Unite.AI

SEPTEMBER 20, 2023

We'll also walk through the essential features of Hugging Face, including pipelines, datasets, models, and more, with hands-on Python examples. Transformers in NLP In 2017, Cornell University published an influential paper that introduced transformers. These are deep learning models used in NLP.

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John Snow Labs

JANUARY 25, 2024

Attributed to its state-of-the-art artificial intelligence (AI) models and proven customer success, the focus on generative AI has gained the company industry recognition. The no-code NLP Lab platform has experienced 5x growth by teams training, tuning, and publishing AI models.

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Unite.AI

SEPTEMBER 27, 2023

Generative AI refers to models that can generate new data samples that are similar to the input data. The success of ChatGPT opened many opportunities across industries, inspiring enterprises to design their own large language models. Comes FinGPT.

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Generative AI Large Language Models Prompt Engineer Prompt Engineering 304

ODSC - Open Data Science

MAY 1, 2023

Large language models (LLMs) and generative AI have taken the world by storm, allowing AI to enter the mainstream and show that AI is real and here to stay. However, a new paradigm has entered the chat, as LLMs don’t follow the same rules and expectations of traditional machine learning models.

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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)? Did you get excited about the potential uses of these models? Wait, what’s a large language model?

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Large Language Models LLM Chatbots Explainability 143

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.

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AWS Machine Learning Blog

FEBRUARY 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text summarization, and sentiment analysis. Monitoring the performance and behavior of LLMs is a critical task for ensuring their safety and effectiveness.

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Large Language Models LLM Big Data Natural Language Processing 105

Unite.AI

JULY 11, 2023

The Artificial Intelligence (AI) ecosystem has evolved rapidly in the last five years, with Generative AI (GAI) leading this evolution. In fact, the Generative AI market is expected to reach $36 billion by 2028 , compared to $3.7 However, advancing in this field requires a specialized AI skillset.

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Generative AI BERT Natural Language Processing Large Language Models 189

Unite.AI

AUGUST 8, 2023

That is Generative AI. Generative models have blurred the line between humans and machines. With the advent of models like GPT-4, which employs transformer modules, we have stepped closer to natural and context-rich language generation. Supports 13 programming languages.

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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). Despite this, a majority of GenAI projects have not yet been tested for LLM requirements.

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LLM Large Language Models NLP Responsible AI 98

ODSC - Open Data Science

JULY 3, 2023

We’re hearing a lot about large language models, or LLMs recently in the news. If you don’t know, LLMs are a type of artificial intelligence that is trained on massive amounts of text data. This allows them to generate text that is often indistinguishable from human-written text, such as ChatGPT.

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Large Language Models Natural Language Processing Data Science Prompt Engineer 98

Topbots

AUGUST 31, 2023

With the rush to adopt generative AI to stay competitive, many businesses are overlooking key risks associated with LLM-driven applications. Our analysis is informed by the OWASP Top 10 for LLM vulnerabilities list, which is published and constantly updated by the Open Web Application Security Project (OWASP).

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ODSC - Open Data Science

DECEMBER 8, 2023

The year 2023 has witnessed an unprecedented surge in the development of large language models , with new models emerging at an astonishing pace. In the early months of the year, Google AI took center stage with the release of PaLM 2 , a massive LLM with 540B parameters. Finally, in early November ChatGPT 4.5

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AWS Machine Learning Blog

NOVEMBER 7, 2023

Large language models (LLMs) with their broad knowledge, can generate human-like text on almost any topic. Without continued learning, these models remain oblivious to new data and trends that emerge after their initial training.

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AWS Machine Learning Blog

FEBRUARY 6, 2024

We address this skew with generative AI models (Falcon-7B and Falcon-40B), which were prompted to generate event samples based on five examples from the training set to increase the semantic diversity and increase the sample size of labeled adverse events.

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Large Language Models BERT NLP Data Scientist 92

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. And yes, technology is getting smarter.

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Towards AI

MAY 20, 2023

A deep dive — data extraction, initializing the model, splitting the data, embeddings, vector databases, modeling, and inference Photo by Simone Hutsch on Unsplash We are seeing a lot of use cases for langchain apps and large language models these days. Join thousands of data leaders on the AI newsletter.

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Large Language Models Data Extraction NLP LLM 85

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

IBM Journey to AI blog

SEPTEMBER 28, 2023

According to a recent IBV study , 64% of surveyed CEOs face pressure to accelerate adoption of generative AI, and 60% lack a consistent, enterprise-wide method for implementing it. These enhancements have been guided by IBM’s fundamental strategic considerations that AI should be open, trusted, targeted and empowering.

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Unite.AI

MAY 29, 2024

This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction. Named Entity Recognition ( NER) Named entity recognition (NER), an NLP technique, identifies and categorizes key information in text.

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Unite.AI

MARCH 13, 2024

Introduction The field of natural language processing (NLP) and language models has experienced a remarkable transformation in recent years, propelled by the advent of powerful large language models (LLMs) like GPT-4, PaLM, and Llama.

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John Snow Labs

JULY 28, 2023

Medical Large Language Models LLMs In recent years, Large Language Models (LLMs) have revolutionized various industries by their ability to process and generate human-like text.

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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. are harnessed to channel LLMs output.

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Large Language Models Prompt Engineer Prompt Engineering Responsible AI 52

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

MAY 1, 2023

Everyone is talking about Generative AI and LLMs. 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 Join this session for an overview of LLMs, from the basics of what they are capable of to how to get value from them.

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LLM Generative AI Large Language Models Data Science 52

AI Weekly

APRIL 11, 2024

The Microsoft AI London outpost will focus on advancing state-of-the-art language models, supporting infrastructure, and tooling for foundation models. techcrunch.com Applied use cases Can AI Find Its Way Into Accounts Payable? Generative AI is igniting a new era of innovation within the back office.

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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. However, with the introduction of Copilot, bot building has become even simpler.

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AWS Machine Learning Blog

MAY 3, 2023

Generative AI (GenAI) and large language models (LLMs), such as those available soon via Amazon Bedrock and Amazon Titan are transforming the way developers and enterprises are able to solve traditionally complex challenges related to natural language processing and understanding.

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Mlearning.ai

FEBRUARY 21, 2023

Building a Modular Reasoning, Knowledge and Language (MRKL) system using prompt chaining Image by author What is this about? During this tutorial, we will explore how to supercharge Large Language Models (LLMs) with LangChain. In such cases, the accuracy of the underlying LLM is critical.

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Large Language Models LLM OpenAI Natural Language Processing 52

IBM Journey to AI blog

AUGUST 1, 2023

True to their name, generative AI models generate text, images, code , or other responses based on a user’s prompt. But what makes the generative functionality of these models—and, ultimately, their benefits to the organization—possible? An open-source model, Google created BERT in 2018.

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AWS Machine Learning Blog

AUGUST 7, 2023

They wanted to first determine if the given language excerpt is toxic, and then classify the excerpt in a specific customer-defined category of toxicity such as profanity or abusive language. The solution was to find and fine-tune an LLM to classify toxic language. However, LLMs are not a new technology in the ML space.

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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. These metrics will assess how well a machine-generated summary compares to one or more reference summaries.

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Unite.AI

APRIL 11, 2024

Large Language Models and Generative AI have demonstrated unprecedented success on a wide array of Natural Language Processing tasks. However, compared to existing games, tactical battle games might prove to be a better choice to benchmark the ability of large language models to play virtual games.

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