Analytics Vidhya

JUNE 5, 2023

Introduction In the realm of artificial intelligence, a transformative force has emerged, capturing the imaginations of researchers, developers, and enthusiasts alike: large language models.

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Analytics Vidhya

NOVEMBER 20, 2024

Large Language Models like BERT, T5, BART, and DistilBERT are powerful tools in natural language processing where each is designed with unique strengths for specific tasks. Whether it’s summarization, question answering, or other NLP applications.

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Analytics Vidhya

AUGUST 26, 2023

In this article, we will explore how PEFT methods optimize the adaptation of Large Language Models (LLMs) to specific tasks. We will unravel the advantages and disadvantages of PEFT, […] The post Parameter-Efficient Fine-Tuning of Large Language Models with LoRA and QLoRA appeared first on Analytics Vidhya.

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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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Unite.AI

JANUARY 18, 2025

Just as GPUs once eclipsed CPUs for AI workloads , Neural Processing Units (NPUs) are set to challenge GPUs by delivering even faster, more efficient performanceespecially for generative AI , where massive real-time processing must happen at lightning speed and at lower cost.

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Towards AI

AUGUST 6, 2024

Author(s): Youssef Hosni Originally published on Towards AI. Master LLMs & Generative AI Through These Five Books This article reviews five key books that explore the rapidly evolving fields of large language models (LLMs) and generative AI, providing essential insights into these transformative technologies.

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Analytics Vidhya

APRIL 21, 2024

Introduction Converting natural language queries into code is one of the toughest challenges in NLP. This is where Google Gemma, an Open Source Large Language Model comes into […] The post Fine-tuning Google Gemma with Unsloth appeared first on Analytics Vidhya.

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Unite.AI

JUNE 6, 2023

& GPT-4 large language models (LLMs), has generated significant excitement within the Artificial Intelligence (AI) community. AutoGPT can gather task-related information from the internet using a combination of advanced methods for Natural Language Processing (NLP) and autonomous AI agents.

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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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Analytics Vidhya

MARCH 30, 2024

Introduction With the advent of Large Language Models (LLMs), they have permeated numerous applications, supplanting smaller transformer models like BERT or Rule Based Models in many Natural Language Processing (NLP) tasks.

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Analytics Vidhya

SEPTEMBER 18, 2024

Introduction Large Language Models (LLMs) contributed to the progress of Natural Language Processing (NLP), but they also raised some important questions about computational efficiency. These models have become too large, so the training and inference cost is no longer within reasonable limits.

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Analytics Vidhya

OCTOBER 2, 2023

Introduction As AI is taking over the world, Large language models are in huge demand in technology. Large Language Models generate text in a way a human does.

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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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Analytics Vidhya

AUGUST 28, 2024

That’s the power of adaptive […] The post Transforming NLP with Adaptive Prompting and DSPy appeared first on Analytics Vidhya. Now, imagine if you had a tool that could adapt to every twist and turn of the discussion, offering just the right words at the right time.

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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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AWS Machine Learning Blog

NOVEMBER 1, 2024

As enterprises increasingly embrace generative AI , they face challenges in managing the associated costs. With demand for generative AI applications surging across projects and multiple lines of business, accurately allocating and tracking spend becomes more complex.

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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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Analytics Vidhya

JUNE 26, 2024

Introduction Retrieval-Augmented Generation (RAG) is a dominant force in the NLP field, using the combinative power of large language models and external knowledge retrieval. The RAG system has both advantages and disadvantages.

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Unite.AI

JULY 5, 2023

MosaicML is a generative AI company that provides AI deployment and scalability solutions. Their latest large language model (LLM) MPT-30B is making waves across the AI community. The model was fine-tuned using various language datasets, including: Airoboros/GPT4-1.2

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Unite.AI

DECEMBER 23, 2024

Today, AI agents are playing an important role in enterprise automation, delivering benefits such as increased efficiency, lower operational costs, and faster decision-making. Advancements in generative AI and predictive AI have further enhanced the capabilities of these agents.

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Analytics Vidhya

JULY 5, 2023

In a world where language is the bridge connecting people and technology, advancements in Natural Language Processing (NLP) have opened up incredible opportunities.

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IBM Journey to AI blog

JANUARY 29, 2024

This technological revolution is now possible, thanks to the innovative capabilities of generative AI powered automation. With today’s advancements in AI Assistant technology, companies can achieve business outcomes at an unprecedented speed, turning the once seemingly impossible into a tangible reality.

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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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John Snow Labs

FEBRUARY 12, 2025

John Snow Labs’ Medical Language Models library is an excellent choice for leveraging the power of large language models (LLM) and natural language processing (NLP) in Azure Fabric due to its seamless integration, scalability, and state-of-the-art accuracy on medical tasks.

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Analytics Vidhya

SEPTEMBER 29, 2023

Introduction Generative Artificial Intelligence (AI) models have revolutionized natural language processing (NLP) by producing human-like text and language structures.

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AWS Machine Learning Blog

NOVEMBER 6, 2024

The rise of large language models (LLMs) and foundation models (FMs) has revolutionized the field of natural language processing (NLP) and artificial intelligence (AI). inputTextTokenCount': 6, 'results': [{'tokenCount': 37, 'outputText': 'nI am Amazon Titan, a large language model built by AWS.

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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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John Snow Labs

NOVEMBER 8, 2024

The field of healthcare AI has been evolving rapidly, with Large Language Models (LLMs) playing a pivotal role in the development of cutting-edge medical applications. A significant advancement in this space is the emergence of Healthcare-Specific LLMs, particularly those built for Retrieval-Augmented Generation (RAG).

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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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AI Weekly

JUNE 1, 2023

Powered by 1west.com In the News Generative AI may be the next AK-47 At the start of the Cold War, a young man from southern Siberia designed what would become the world’s most ubiquitous assault rifle. siliconangle.com Can AI improve cancer care? siliconangle.com Can AI improve cancer care?

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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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Analytics Vidhya

JANUARY 4, 2024

Introduction In the rapidly evolving landscape of artificial intelligence, especially in NLP, large language models (LLMs) have swiftly transformed interactions with technology. GPT-3, a prime example, excels in generating coherent text.

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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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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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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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Marktechpost

MAY 21, 2024

Conventional methods of obfuscation in the literature on Natural Language Processing (NLP) have frequently been restricted to certain environments and have depended on basic, surface-level modifications. velopers working with generative AI models. Check out the Paper. Also, don’t forget to follow us on Twitter.

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Analytics Vidhya

SEPTEMBER 6, 2024

Introduction If you’ve worked with Large Language Models (LLMs), you’re likely familiar with the challenges of tuning them to respond precisely as desired. This struggle often stems from the models’ limited reasoning capabilities or difficulty in processing complex prompts.

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