Unite.AI

DECEMBER 4, 2023

In the ever-evolving domain of Artificial Intelligence (AI), where models like GPT-3 have been dominant for a long time, a silent but groundbreaking shift is taking place. Small Language Models (SLM) are emerging and challenging the prevailing narrative of their larger counterparts.

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Unite.AI

OCTOBER 11, 2023

For large-scale Generative AI applications to work effectively, it needs good system to handle a lot of data. Generative AI and The Need for Vector Databases Generative AI often involves embeddings. Generative AI and The Need for Vector Databases Generative AI often involves embeddings.

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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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AssemblyAI

JUNE 27, 2023

Until very recently, however, these improvements were still far from the outstanding progress observed in image and text generation. This blog post is part of a series on generative AI. This shift has led to dramatic improvements in speech recognition and several other applications of discriminative AI.

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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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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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Unite.AI

DECEMBER 8, 2023

Language models and generative AI, renowned for their capabilities, are a hot topic in the AI industry. These systems, typically deep learning models, are pre-trained on extensive labeled data, incorporating neural networks for self-attention. Global researchers are enhancing their efficacy and capability.

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Marktechpost

JULY 22, 2024

Large Language Models (LLMs) have revolutionized natural language processing, demonstrating remarkable capabilities in various applications. Recent advancements focus on scaling up these models and developing techniques for efficient fine-tuning, expanding their applicability across diverse domains.

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Large Language Models Neural Network Natural Language Processing LLM 124

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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Artificial Corner

JULY 30, 2023

In this world of complex terminologies, someone who wants to explain Large Language Models (LLMs) to some non-tech guy is a difficult task. So that’s why I tried in this article to explain LLM in simple or to say general language. A transformer architecture is typically implemented as a Large language model.

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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. Context-Aware Data Extraction LLMs possess strong contextual understanding, honed through extensive training on large datasets.

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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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AssemblyAI

MAY 23, 2023

With these complex algorithms often labeled as "giant black boxes" in media, there's a growing need for accurate and easy-to-understand resources, especially for Product Managers wondering how to incorporate AI into their product roadmap. Capabilities and Prompting Scaling language models leads to unexpected results.

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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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Towards AI

OCTOBER 31, 2024

Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! We’re also excited to share updates on Building LLMs for Production, now available on our own platform: Towards AI Academy.

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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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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

JUNE 18, 2024

Traditional neural network models like RNNs and LSTMs and more modern transformer-based models like BERT for NER require costly fine-tuning on labeled data for every custom entity type. About the Authors Sujitha Martin is an Applied Scientist in the Generative AI Innovation Center (GAIIC).

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Large Language Models Natural Language Processing LLM Computer Vision 120

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

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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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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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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AWS Machine Learning Blog

JANUARY 19, 2024

In this post, we demonstrate how to use neural architecture search (NAS) based structural pruning to compress a fine-tuned BERT model to improve model performance and reduce inference times. First, we use an Amazon SageMaker Studio notebook to fine-tune a pre-trained BERT model on a target task using a domain-specific dataset.

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AWS Machine Learning Blog

APRIL 4, 2025

To achieve this, Lumi developed a classification model based on BERT (Bidirectional Encoder Representations from Transformers) , a state-of-the-art natural language processing (NLP) technique. They fine-tuned this model using their proprietary dataset and in-house data science expertise. Prior to joining AWS, Dr.

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Marktechpost

MAY 30, 2024

Google plays a crucial role in advancing AI by developing cutting-edge technologies and tools like TensorFlow, Vertex AI, and BERT. Its AI courses provide valuable knowledge and hands-on experience, helping learners build and optimize AI models, understand advanced AI concepts, and apply AI solutions to real-world problems.

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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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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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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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AWS Machine Learning Blog

NOVEMBER 30, 2023

The risks associated with generative AI have been well-publicized. Research shows that not only do risks for bias and toxicity transfer from pre-trained foundation models (FM) to task-specific generative AI services, but that tuning an FM for specific tasks, on incremental datasets, introduces new and possibly greater risks.

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Large Language Models Algorithm LLM Responsible AI 105

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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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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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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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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Viso.ai

JULY 18, 2024

What are Large Language Models (LLMs)? In generative AI, human language is perceived as a difficult data type. This smooth interaction between machine and human happens because of Large Language Models. It then gives a logical answer. Introduced by Vaswani et al.

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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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Marktechpost

JUNE 24, 2024

This interest is not just about the impressive capabilities of ChatGPT in generating human-like text but also about its profound implications for the workforce. These skills underscore the need for workers to adapt and develop new competencies to work effectively alongside advanced AI systems like ChatGPT.

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ODSC - Open Data Science

MARCH 10, 2025

MLOps, Ethical AI, and the Rise of Large Language Models (20202022) The global shift to remote work during the pandemic accelerated interest in MLOps a set of practices for deploying, monitoring, and scaling machine learning models. The real game-changer, however, was the rise of Large Language Models (LLMs).

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