IBM Journey to AI blog

FEBRUARY 13, 2024

Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating. Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.”

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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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Flipboard

JULY 4, 2023

Large Language Models have shown immense growth and advancements in recent times. The field of Artificial Intelligence is booming with every new release of these models. Famous LLMs like GPT, BERT, PaLM, and LLaMa are revolutionizing the AI industry by imitating humans.

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Marktechpost

APRIL 21, 2024

Introduction to Generative AI: This course provides an introductory overview of Generative AI, explaining what it is and how it differs from traditional machine learning methods. This is crucial for ensuring AI technology is used in a way that is ethical and beneficial to society.

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IBM Journey to AI blog

JULY 19, 2023

The exponential leap in generative AI is already transforming many industries: optimizing workflows , helping human teams focus on value added tasks and accelerating time to market. Life sciences industry is beginning to take notice and aims to leapfrog the technological advances.

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Unite.AI

APRIL 26, 2024

The advancements in large language models have significantly accelerated the development of natural language processing , or NLP. More recent frameworks like LLaMA and BLIP leverage tailored instruction data to devise efficient strategies that demonstrate the potent capabilities of the model.

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Unite.AI

FEBRUARY 23, 2024

Prompt engineering is the art and science of crafting inputs (or “prompts”) to effectively guide and interact with generative AI models, particularly large language models (LLMs) like ChatGPT. But what exactly is prompt engineering, and why has it become such a buzzword in the tech community?

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Marktechpost

APRIL 16, 2024

Quick Start Guide to Large Language Models This book guides how to work with, integrate, and deploy LLMs to solve real-world problems. The book covers the inner workings of LLMs and provides sample codes for working with models like GPT-4, BERT, T5, LLaMA, etc.

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Unite.AI

DECEMBER 27, 2023

Generative AI is an evolving field that has experienced significant growth and progress in 2023. Generative AI has tremendous potential to revolutionize various industries, such as healthcare, manufacturing, media, and entertainment, by enabling the creation of innovative products, services, and experiences.

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SAS Software

MARCH 21, 2023

SAS' Ali Dixon and Mary Osborne reveal why a BERT-based classifier is now part of our natural language processing capabilities of SAS Viya. The post How natural language processing transformers can provide BERT-based sentiment classification on March Madness appeared first on SAS Blogs.

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Analytics Vidhya

FEBRUARY 24, 2024

Google has been a frontrunner in AI research, contributing significantly to the open-source community with transformative technologies like TensorFlow, BERT, T5, JAX, AlphaFold, and AlphaCode.

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Marktechpost

DECEMBER 5, 2023

Large Language Models (LLMs), like GPT, PaLM, LLaMA, etc., Their ability to utilize the strength of Natural Language Processing, Generation, and Understanding by generating content, answering questions, summarizing text, and so on have made LLMs the talk of the town in the last few months.

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AI Weekly

JANUARY 4, 2024

Sissie Hsiao, Google Sissie Hsiao, Google's vice president and the general manager of Bard and Google Assistant. macdailynews.com The Evolution Of AI Chatbots For Finance And Accounting At the end of 2023, these key components have rapidly merged through the evolution of large language models (LLMs) like ChatGPT and others.

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Towards AI

JANUARY 30, 2024

Author(s): Abhinav Kimothi Originally published on Towards AI. Being new to the world of Generative AI, one can feel a little overwhelmed by the jargon. Designed to be general-purpose, providing a foundation for various AI applications. I’ve been asked many times about common terms used in this field.

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Mlearning.ai

JULY 24, 2023

In Generative AI projects, there are five distinct stages in the lifecycle, centred around a Large Language Model 1️⃣ Pre-training : This involves building an LLM from scratch. The likes of BERT, GPT4, Llama 2, have undergone pre-training on a large corpus of data. Billions of parameters are trained.

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Marktechpost

APRIL 1, 2024

Ever since its inception, ChatGPT has taken the world by storm, marking the beginning of the era of generative AI. Although large language models (LLMs) had been developed prior to the launch of ChatGPT, the latter’s ease of accessibility and user-friendly interface took the adoption of LLM to a new level.

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ODSC - Open Data Science

NOVEMBER 8, 2023

Generative AI is a new field. Over the past year, new terms, developments, algorithms, tools, and frameworks have emerged to help data scientists and those working with AI develop whatever they desire. This is where the art of artificial intelligence comes into play, and has even become its own job.

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Analytics Vidhya

NOVEMBER 24, 2023

Leveraging Large Language Models (LLMs) such as OpenAI’s GPT-3.5 Introduction In the fast-paced world of customer support efficiency and responsiveness are paramount. for project optimization in customer support introduces a unique perspective.

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Unite.AI

NOVEMBER 6, 2023

In recent years, Generative AI has shown promising results in solving complex AI tasks. Modern AI models like ChatGPT , Bard , LLaMA , DALL-E.3 3 , and SAM have showcased remarkable capabilities in solving multidisciplinary problems like visual question answering, segmentation, reasoning, and content generation.

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Towards AI

DECEMBER 28, 2023

Here are 11 pillars for building expertise in GenAI: Basics of Python- Python serves as a prominent programming language for working with large language models (LLMs) due to its versatility, extensive libraries, and community support. Mitesh Khapra courses.ai4bharat.org 4. Mitesh Khapra courses.ai4bharat.org 7.

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Topbots

APRIL 11, 2023

In this article, we will delve into the latest advancements in the world of large-scale language models, exploring enhancements introduced by each model, their capabilities, and potential applications. The Most Important Large Language Models (LLMs) in 2023 1. billion word corpus).

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NVIDIA

NOVEMBER 16, 2023

This is fueled by generative AI and models like GatorTronGPT, a generative language model trained on the University of Florida’s HiPerGator AI supercomputer and detailed in a paper published in Nature Digital Medicine Thursday.

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AssemblyAI

MAY 3, 2023

We are going to explore these and other essential questions from the ground up , without assuming prior technical knowledge in AI and machine learning. The problem of how to mitigate the risks and misuse of these AI models has therefore become a primary concern for all companies offering access to large language models as online services.

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Marktechpost

JULY 14, 2023

In the past few months, Generative AI has become increasingly popular. From organizations to AI researchers, everyone is discovering the vast potential Generative AI holds to produce unique and original content, and that too in a wide range of fields. What is Generative AI?

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Analytics Vidhya

AUGUST 28, 2023

Introduction In today’s rapidly advancing technological landscape, Large Language Models (LLMs) are transformative innovations that reshape industries and revolutionize human-computer interactions. However, these powerful tools also bring to light complex ethical challenges.

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Analytics Vidhya

AUGUST 9, 2023

Introduction Large Language Models (LLMs) have changed the entire world. Especially in the AI community, this is a giant leap forward. Building a system that can understand and reply to any text was unthinkable a few years ago. However, these capabilities come at the cost of missing depth.

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Snorkel AI

AUGUST 17, 2023

While Snorkel has worked with partners to build valuable applications using image and cross-modal genAI models, this post will focus exclusively on large language models. The problem of accuracy Text-generating AIs are trained to understand language largely by filling in missing tokens.

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Snorkel AI

AUGUST 17, 2023

While Snorkel has worked with partners to build valuable applications using image and cross-modal genAI models, this post will focus exclusively on large language models. The problem of accuracy Text-generating AIs are trained to understand language largely by filling in missing tokens.

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ODSC - Open Data Science

JUNE 9, 2023

Word2Vec, encoder-decoder models, attention and transformers, pre-trained models, and transfer models have paved the way for what we’re seeing right now — GPT and large language models that can take billions of parameters. This allows BERT to learn a deeper sense of the context in which words appear.

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Mlearning.ai

JUNE 14, 2023

Learning Large Language Models The LLM (Foundational Models) space has seen tremendous and rapid growth. LLM Learning MindMap: Lucidspark Learning Large Language Models Here is a print friendly view of all the resources. YouTube BERT Research — Ep. With so much information out there.

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IBM Journey to AI blog

NOVEMBER 24, 2023

While attempting to drive acceleration and optimize cost of modernization, Generative AI is becoming a critical enabler to drive change in how we accelerate modernization programs. Let us explore the Generative AI possibilities across these lifecycle areas. Subsequent phases are build and test and deploy to production.

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AWS Machine Learning Blog

AUGUST 30, 2023

It enables translation of reports into human readable language, thereby alleviating the patients’ burden of reading through lengthy and obscure reports. To solve this problem, we propose the use of generative AI, a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music.

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Viso.ai

MARCH 20, 2024

Foundation models are recent developments in artificial intelligence (AI). Models like GPT 4, BERT, DALL-E 3, CLIP, Sora, etc., are at the forefront of the AI revolution. Use Cases for Foundation Models Applications in Pre-trained Language Models like GPT, BERT, Claude, etc.

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Unite.AI

AUGUST 28, 2023

Transformers and Advanced NLP Models : The introduction of transformer architectures revolutionized the NLP landscape. Systems like ChatGPT by OpenAI, BERT, and T5 have enabled breakthroughs in human-AI communication. The diagram visualizes the architecture of an AI system powered by a Large Language Model and Agents.

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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. Want to dive deeper?

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NVIDIA

SEPTEMBER 11, 2023

Grace Hopper Superchips and H100 GPUs led across all MLPerf’s data center tests, including inference for computer vision, speech recognition and medical imaging, in addition to the more demanding use cases of recommendation systems and the large language models ( LLMs ) used in generative AI.

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Marktechpost

JULY 19, 2023

Large language models (LLMs) are computer models capable of analyzing and generating text. They are trained on a vast amount of textual data to enhance their performance in tasks like text generation and even coding. Examples of text-only LLMs include GPT-3 , BERT , RoBERTa , etc.

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