Unite.AI

OCTOBER 18, 2023

Large Language Models (LLMs) are currently one of the most discussed topics in mainstream AI. Developers worldwide are exploring the potential applications of LLMs. Large language models are intricate AI algorithms.

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Large Language Models LLM Auto-complete Automation 290

Unite.AI

NOVEMBER 14, 2023

Traditionally, this task would involve delving into extensive documentation and community-provided examples, especially when dealing with intricate components or state management. They'll interact with LLM, providing training data and examples to achieve tasks, shifting the focus from intricate coding to strategically working with AI models.

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Unite.AI

OCTOBER 16, 2023

However, with great power comes great responsibility, and managing these behemoth models in a production setting is non-trivial. This is where LLMOps steps in, embodying a set of best practices, tools, and processes to ensure the reliable, secure, and efficient operation of LLMs.

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Large Language Models LLM Machine Learning DevOps 189

Marktechpost

JULY 25, 2024

Large Language Models (LLMs) have revolutionized AI with their ability to understand and generate human-like text. Learning about LLMs is essential to harness their potential for solving complex language tasks and staying ahead in the evolving AI landscape.

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Large Language Models Prompt Engineering Prompt Engineer Chatbots 116

Analytics Vidhya

OCTOBER 1, 2023

Introduction Before the large language models era, extracting invoices was a tedious task. For invoice extraction, one has to gather data, build a document search machine learning model, model fine-tuning etc.

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Marktechpost

NOVEMBER 13, 2024

Large language models (LLMs) have rapidly become a foundational component of today’s consumer and enterprise applications. Addressing this need for accelerated token generation is crucial for the continued advancement and widespread adoption of LLM-powered applications.

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Large Language Models LLM Algorithm AI Research 88

Unite.AI

JANUARY 10, 2024

By integrating the sophisticated language processing capabilities of models like ChatGPT with the versatile and widely-used Scikit-learn framework, Scikit-LLM offers an unmatched arsenal for delving into the complexities of textual data. Why Scikit-LLM? and the user-friendly environment of Scikit-learn.

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Large Language Models LLM Machine Learning Python 147

AssemblyAI

MAY 3, 2023

A New Era of Language Intelligence At its essence, ChatGPT belongs to a class of AI systems called Large Language Models , which can perform an outstanding variety of cognitive tasks involving natural language. From Language Models to Large Language Models How good can a language model become?

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Large Language Models Neural Network LLM ChatGPT 363

Marktechpost

AUGUST 7, 2024

Existing solutions, like some frameworks, are too heavy and lack flexibility, making it difficult to switch between different models or customize actions. Others provide limited documentation, leading to a steep learning curve for new users. The framework has three main components: agents, LLMs, and actions.

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Large Language Models LLM Python OpenAI 124

Marktechpost

APRIL 25, 2024

Are you curious about the intricate world of large language models (LLMs) and the technical jargon that surrounds them? In this article, we delve into 25 essential terms to enhance your technical vocabulary and provide insights into the mechanisms that make LLMs so transformative.

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Large Language Models LLM Neural Network Natural Language Processing 131

Unite.AI

SEPTEMBER 19, 2024

With a remarkable 500,000-token context window —more than 15 times larger than most competitors—Claude Enterprise is now capable of processing extensive datasets in one go, making it ideal for complex document analysis and technical workflows. Let's dive into the top options and their impact on enterprise AI.

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Unite.AI

JANUARY 11, 2024

Text embeddings are vector representations of words, sentences, paragraphs or documents that capture their semantic meaning. They serve as a core building block in many natural language processing (NLP) applications today, including information retrieval, question answering, semantic search and more.

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Large Language Models Prompt Engineer Prompt Engineering BERT 147

Analytics Vidhya

MARCH 22, 2024

Introduction With the advent of RAG (Retrieval Augmented Generation) and Large Language Models (LLMs), knowledge-intensive tasks like Document Question Answering, have become a lot more efficient and robust without the immediate need to fine-tune a cost-expensive LLM to solve downstream tasks.

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Large Language Models LLM Metadata 178

Marktechpost

AUGUST 13, 2024

Large Language Models (LLMs), such as the ByT5 model, offer a promising potential for enhancing OCR post-correction. These models are trained on extensive text data and can understand and generate human-like language.

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Large Language Models LLM ML AI 119

AssemblyAI

MAY 17, 2023

Generative AI has made great strides in the language domain. More recently, the Large Language Model GPT-4 has hit the scene and made ripples for its reported performance, reaching the 90th percentile of human test takers on the Uniform BAR Exam, which is an exam in the United States that is required to become a certified lawyer.

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Marktechpost

FEBRUARY 28, 2024

In recent research, a team of researchers from Meta has presented TestGen-LLM, a unique tool that uses Large Language Models (LLMs) to improve pre-existing human-written test suites automatically. TestGen-LLM has been designed with two primary use cases, i.e., evaluation and deployment.

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Large Language Models LLM Automation Software Engineer 131

Marktechpost

APRIL 25, 2024

Snowflake AI Research has launched the Arctic , a cutting-edge open-source large language model (LLM) specifically designed for enterprise AI applications, setting a new standard for cost-effectiveness and accessibility.

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Large Language Models LLM AI Research AI Researcher 140

Analytics Vidhya

AUGUST 10, 2023

Google’s researchers have unveiled a groundbreaking achievement – Large Language Models (LLMs) can now harness Machine Learning (ML) models and APIs with the mere aid of tool documentation.

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Analytics Vidhya

MAY 23, 2024

Introduction LlamaParse is a document parsing library developed by Llama Index to efficiently and effectively parse documents such as PDFs, PPTs, etc. The nature of […] The post Simplifying Document Parsing: Extracting Embedded Objects with LlamaParse appeared first on Analytics Vidhya.

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Large Language Models LLM 340

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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LLM Prompt Engineer Prompt Engineering Large Language Models 298

Unite.AI

SEPTEMBER 10, 2024

The ability to accurately interpret complex visual information is a crucial focus of multimodal large language models (MLLMs). Recent work shows that enhanced visual perception significantly reduces hallucinations and improves performance on resolution-sensitive tasks, such as optical character recognition and document analysis.

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Analytics Vidhya

OCTOBER 3, 2024

Introduction In my previous blog post, Building Multi-Document Agentic RAG using LLamaIndex, I demonstrated how to create a retrieval-augmented generation (RAG) system that could handle and query across three documents using LLamaIndex.

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Large Language Models LLM Generative AI Python 192

Marktechpost

JANUARY 5, 2024

Enterprise documents like contracts, reports, invoices, and receipts come with intricate layouts. These documents may be automatically interpreted and analyzed, which is useful and can result in the creation of AI-driven solutions. Visual documents frequently have fragmented text sections, erratic layouts, and varied information.

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Large Language Models AI Research AI Researcher Categorization 135

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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Large Language Models LLM Natural Language Processing Deep Learning 85

Analytics Vidhya

SEPTEMBER 19, 2023

Introduction A specific category of artificial intelligence models known as large language models (LLMs) is designed to understand and generate human-like text. The term “large” is often quantified by the number of parameters they possess.

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Marktechpost

AUGUST 8, 2024

The necessity of being able to query documents in natural language has increased with the introduction of AI-driven solutions. However, problems still exist, especially when it comes to accuracy and context management, even with strong models like GPT.

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Large Language Models AI Tools Data Extraction Artificial Intelligence 120

Unite.AI

JANUARY 23, 2024

Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. From chatbots to search engines to creative writing aids, LLMs are powering cutting-edge applications across industries.

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Large Language Models Prompt Engineering Prompt Engineer LLM 130

AssemblyAI

AUGUST 18, 2023

The maxim "bigger is better" has been a defining ethos in the AI industry, with the notion that scaling up an AI model amplifies its performance. As more enterprises aim to leverage their capabilities, they find that implementing these massive models comes with a host of challenges, spanning both computational and deployment aspects.

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Large Language Models LLM Chatbots Generative AI 130

Unite.AI

MARCH 5, 2024

Large Language Models (LLMs) are revolutionizing how we process and generate language, but they're imperfect. Just like humans might see shapes in clouds or faces on the moon, LLMs can also ‘hallucinate,' creating information that isn’t accurate. Even the most promising LLM models like GPT-3.5

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LLM Large Language Models Prompt Engineer Prompt Engineering 290

Marktechpost

SEPTEMBER 23, 2024

Large language models (LLMs) have gained significant attention due to their potential to enhance various artificial intelligence applications, particularly in natural language processing. To tackle this issue, new methods must be introduced to evaluate and improve the trustworthiness of these models.

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Large Language Models Natural Language Processing LLM AI 117

Marktechpost

AUGUST 4, 2024

Integrating advanced language models into writing and editing workflows has become increasingly important in various fields. Large language models (LLMs) such as ChatGPT and Gemini transform how individuals generate text, edit documents, and retrieve information.

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Large Language Models LLM ChatGPT Python 102

Analytics Vidhya

APRIL 12, 2024

RAG is replacing the traditional search-based approaches and creating a chat with a document environment. The biggest hurdle in RAG is to retrieve the right document. Only when we get […] The post Enhancing RAG with Hypothetical Document Embedding appeared first on Analytics Vidhya.

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Large Language Models LLM Generative AI Python 280

Marktechpost

OCTOBER 6, 2024

Training Large Language Models (LLMs) that can handle long-context processing is still a difficult task because of data sparsity constraints, implementation complexity, and training efficiency. However, trying to choose the best available LLM from an ever-increasing pool of models presents another difficulty.

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Large Language Models LLM Categorization Automation 106

Marktechpost

SEPTEMBER 17, 2024

Prior research on Large Language Models (LLMs) demonstrated significant advancements in fluency and accuracy across various tasks, influencing sectors like healthcare and education. This progress sparked investigations into LLMs’ language understanding capabilities and associated risks.

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Large Language Models LLM Natural Language Processing ML 137

Marktechpost

OCTOBER 22, 2024

Despite recent advances in multimodal large language models (MLLMs), the development of these models has largely centered around English and Western-centric datasets. PANGEA is trained on a newly curated dataset, PANGEAINS, which contains 6 million instruction samples across 39 languages.

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Large Language Models Data Scarcity Inference Engine LLM 102

Marktechpost

AUGUST 12, 2024

The advent of Large Language Models (LLMs) offers a potential solution to this enduring problem. However, there are several concerns when applying LLMs to mainframe modernization. Challenges in Using LLMs for Mainframe Modernization : 1. FPT Software AI Center has supported us in this content/article.

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Large Language Models LLM Software Engineer Software Development 116

databricks

NOVEMBER 21, 2023

We recently announced our AI-generated documentation feature, which uses large language models (LLMs) to automatically generate documentation for tables and columns in Unity.

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