Unite.AI

SEPTEMBER 19, 2024

Whether you're leveraging OpenAI’s powerful GPT-4 or with Claude’s ethical design, the choice of LLM API could reshape the future of your business. Why LLM APIs Matter for Enterprises LLM APIs enable enterprises to access state-of-the-art AI capabilities without building and maintaining complex infrastructure.

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LLM Automation Large Language Models OpenAI 246

AWS Machine Learning Blog

MARCH 20, 2025

Today, were excited to announce the general availability of Amazon Bedrock Data Automation , a powerful, fully managed feature within Amazon Bedrock that automate the generation of useful insights from unstructured multimodal content such as documents, images, audio, and video for your AI-powered applications.

Automation 106

Automation IDP Generative AI Prompt Engineer 106

Flipboard

MARCH 31, 2025

It simplifies the creation and management of AI automations using either AI flows, multi-agent systems, or a combination of both, enabling agents to work together seamlessly, tackling complex tasks through collaborative intelligence. At a high level, CrewAI creates two main ways to create agentic automations: flows and crews.

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LLM Automation Generative AI AI Automation 177

Marktechpost

JANUARY 20, 2025

The automation of radiology report generation has become one of the significant areas of focus in biomedical natural language processing. The limited availability of radiologists and the growing demand for imaging interpretations further complicate the situation, highlighting the need for effective automation solutions.

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Automation Convolutional Neural Networks Natural Language Processing Neural Network 81

Analytics Vidhya

NOVEMBER 1, 2023

Introduction Large Language Models (LLMs) and Generative AI represent a transformative breakthrough in Artificial Intelligence and Natural Language Processing.

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Natural Language Processing Large Language Models Artificial Intelligence Artificial Intelligence 325

AWS Machine Learning Blog

FEBRUARY 21, 2025

Similar to how a customer service team maintains a bank of carefully crafted answers to frequently asked questions (FAQs), our solution first checks if a users question matches curated and verified responses before letting the LLM generate a new answer. No LLM invocation needed, response in less than 1 second.

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LLM Large Language Models Natural Language Processing Machine Learning 111

AWS Machine Learning Blog

NOVEMBER 19, 2024

In this post, we explore a solution that automates building guardrails using a test-driven development approach. This diagram presents the main workflow (Steps 1–4) and the optional automated workflow (Steps 5–7). Have access to the large language model (LLM) that will be used.

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Automation Responsible AI Generative AI Software Development 107

AWS Machine Learning Blog

MARCH 17, 2025

Large language models (LLMs) have revolutionized the field of natural language processing, enabling machines to understand and generate human-like text with remarkable accuracy. However, despite their impressive language capabilities, LLMs are inherently limited by the data they were trained on.

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Marktechpost

JULY 14, 2024

The challenge is the efficient post-training of LLMs using high-quality instruction data. The need for an automated and scalable approach to continuously improve LLMs has become increasingly critical. In conclusion, Arena Learning can be used to post-train LLMs by automating the data selection and model evaluation processes.

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Natural Language Processing Large Language Models Chatbots LLM 116

Unite.AI

FEBRUARY 7, 2024

MLOps are practices that automate and simplify ML workflows and deployments. LLMs are deep neural networks that can generate natural language texts for various purposes, such as answering questions, summarizing documents, or writing code. LLMs can understand the complexities of human language better than other models.

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Machine Learning Large Language Models LLM BERT 294

Unite.AI

SEPTEMBER 18, 2024

The field of artificial intelligence is evolving at a breathtaking pace, with large language models (LLMs) leading the charge in natural language processing and understanding. As we navigate this, a new generation of LLMs has emerged, each pushing the boundaries of what's possible in AI. Visit Claude 3 → 2.

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Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 304

AWS Machine Learning Blog

MARCH 18, 2025

This transcription then serves as the input for a powerful LLM, which draws upon its vast knowledge base to provide personalized, context-aware responses tailored to your specific situation. LLM integration The preprocessed text is fed into a powerful LLM tailored for the healthcare and life sciences (HCLS) domain.

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LLM NLP Data Integration AI 104

IBM Journey to AI blog

JUNE 19, 2024

Of all the use cases, many of us are now extremely familiar with natural language processing AI chatbots that can answer our questions and assist with tasks such as composing emails or essays. According to research from IBM ®, about 42 percent of enterprises surveyed have AI in use in their businesses.

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Generative AI Natural Language Processing Chatbots LLM 282

Flipboard

FEBRUARY 10, 2025

Unlike traditional systems, which rely on rule-based automation and structured data, agentic systems, powered by large language models (LLMs), can operate autonomously, learn from their environment, and make nuanced, context-aware decisions. DeepSeek-R1 is an advanced LLM developed by the AI startup DeepSeek.

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LLM AI AI Python 159

Flipboard

JANUARY 14, 2025

Moreover, interest in small language models (SLMs) that enable resource-constrained devices to perform complex functionssuch as natural language processing and predictive automationis growing. The chatbot application presents the LLM response to the user through its interface.

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LLM Generative AI Chatbots Large Language Models 149

AWS Machine Learning Blog

NOVEMBER 25, 2024

Today, we are excited to announce that John Snow Labs’ Medical LLM – Small and Medical LLM – Medium large language models (LLMs) are now available on Amazon SageMaker Jumpstart. Medical LLM in SageMaker JumpStart is available in two sizes: Medical LLM – Small and Medical LLM – Medium.

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LLM NLP Machine Learning ML 99

AWS Machine Learning Blog

FEBRUARY 21, 2025

Fine-tuning a pre-trained large language model (LLM) allows users to customize the model to perform better on domain-specific tasks or align more closely with human preferences. Continuous fine-tuning also enables models to integrate human feedback, address errors, and tailor to real-world applications.

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LLM AI AI Data Scientist 79

AWS Machine Learning Blog

DECEMBER 5, 2024

With the launch of the Automated Reasoning checks in Amazon Bedrock Guardrails (preview), AWS becomes the first and only major cloud provider to integrate automated reasoning in our generative AI offerings. Click on the image below to see a demo of Automated Reasoning checks in Amazon Bedrock Guardrails.

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Responsible AI AI Tools AI AI 102

The MLOps Blog

MARCH 20, 2025

TL;DR LLM agents extend the capabilities of pre-trained language models by integrating tools like Retrieval-Augmented Generation (RAG), short-term and long-term memory, and external APIs to enhance reasoning and decision-making. The efficiency of an LLM agent depends on the selection of the right LLM model.

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LLM OpenAI Python Large Language Models 59

Unite.AI

NOVEMBER 14, 2023

Transitioning from Low-Code to AI-Driven Development Low-code & No code tools simplified the programming process, automating the creation of basic coding blocks and liberating developers to focus on creative aspects of their projects. The post Will Large Language Models End Programming?

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Large Language Models Software Engineer Computer Scientist ChatGPT 331

Marktechpost

JULY 3, 2024

In the dynamic world of technology, Large Language Models (LLMs) have become pivotal across various industries. Their adeptness at natural language processing, content generation, and data analysis has paved the way for numerous applications.

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LLM Natural Language Processing Large Language Models Big Data 128

Marktechpost

SEPTEMBER 27, 2024

Current document processing methods often rely on manual techniques or basic automation that need more sophistication to handle unstructured data effectively. Natural language processing (NLP) tools may offer some capabilities but fall short when processing complex documents that require higher-level understanding.

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LLM Natural Language Processing Large Language Models Automation 122

Marktechpost

APRIL 6, 2024

Recent advancements integrate machine learning and natural language processing with TRIZ to streamline its reasoning process. By harnessing LLMs’ extensive knowledge and advanced reasoning capabilities, AutoTRIZ offers a new approach to design automation and interpretable ideation with artificial intelligence.

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Large Language Models Automation Natural Language Processing Categorization 135

Towards AI

JANUARY 16, 2025

This week, we explore LLM optimization techniques that can make building LLMs from scratch more accessible with limited resources. It highlights LCMs ability to handle multiple languages using a SONAR tool and its potential for zero-shot learning. It utilizes the ReAct architecture, interleaving reasoning and action via an LLM.

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Explainability Natural Language Processing Automation Large Language Models 98

Marktechpost

JULY 14, 2024

The release of the European LLM Leaderboard by the OpenGPT-X team presents a great milestone in developing and evaluating multilingual language models. The project brings together business, science, and media experts to develop and evaluate multilingual LLMs. Check out the Leaderboard and Details.

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LLM Large Language Models Natural Language Processing Artificial Intelligence 132

AWS Machine Learning Blog

JUNE 25, 2024

From customer service and ecommerce to healthcare and finance, the potential of LLMs is being rapidly recognized and embraced. Businesses can use LLMs to gain valuable insights, streamline processes, and deliver enhanced customer experiences. The raw data is processed by an LLM using a preconfigured user prompt.

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Automation Prompt Engineering Prompt Engineer Categorization 119

Marktechpost

JANUARY 14, 2024

Language Model evaluation is crucial for developers striving to push the boundaries of language understanding and generation in natural language processing. Meet LLM AutoEval : a promising tool designed to simplify and expedite the process of evaluating Language Models (LLMs).

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LLM Natural Language Processing Automation AI 111

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. Enhancing Processing Pipelines The use of LLMs marks a significant shift in automating both preprocessing and post-processing stages.

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Data Extraction Neural Network Large Language Models NLP 273

Marktechpost

OCTOBER 10, 2024

Artificial intelligence has made remarkable strides with the development of Large Language Models (LLMs), significantly impacting various domains, including natural language processing, reasoning, and even coding tasks. The Archon framework sets a new standard for optimizing LLMs.

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Large Language Models Machine Learning Automation LLM 114

Marktechpost

MARCH 22, 2024

Despite the remarkable progress of LLMs in natural language processing, they remain susceptible to jailbreak attempts. Yet, comparing these attacks proves challenging due to variations in evaluation criteria and the absence of readily available source code, exacerbating efforts to identify and counter LLM vulnerabilities.

Machine Learning 132

Machine Learning LLM Natural Language Processing Categorization 132

Marktechpost

MAY 13, 2024

Large language models (LLMs) such as GPT-4 and Llama are at the forefront of natural language processing, enabling various applications from automated chatbots to advanced text analysis. In practice, Vidur has demonstrated substantial cost reductions in LLM deployment. Check out the Paper and GitHub.

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LLM Large Language Models Natural Language Processing Automation 102

Marktechpost

MAY 13, 2024

However, these methods are not scalable for the increasingly large and complex LLMs being developed today. Researchers from Cohere introduce a novel approach that utilizes the model’s embedding weights to automate and scale the detection of under-trained tokens. Check out the Paper. Also, don’t forget to follow us on Twitter.

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Automation Computational Linguistics Large Language Models Natural Language Processing 106

Marktechpost

JUNE 23, 2024

Natural language processing has greatly improved language model finetuning. This process involves refining AI models to perform specific tasks more effectively by training them on extensive datasets. A single hand-written meta-prompt can extract millions of diverse questions from an LLM.

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Automation AI Modeling Large Language Models Natural Language Processing 114

Flipboard

MARCH 30, 2023

They can ingest huge amounts of data, learn from those datasets to improve the algorithm, and perform a variety of natural language processing tasks. LLMs are gaining traction and attention with the proliferation of technologies such as ChatGPT.

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Large Language Models Natural Language Processing Machine Learning Automation 170

Artificial Corner

JULY 30, 2023

So that’s why I tried in this article to explain LLM in simple or to say general language. Photo by Shubham Dhage on Unsplash Introduction Large language Models (LLMs) are a subset of Deep Learning. No training examples are needed in LLM Development but it’s needed in Traditional Development.

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Large Language Models LLM Natural Language Processing Deep Learning 98

AWS Machine Learning Blog

MARCH 14, 2025

Although automated metrics are fast and cost-effective, they can only evaluate the correctness of an AI response, without capturing other evaluation dimensions or providing explanations of why an answer is problematic. Human evaluation, although thorough, is time-consuming and expensive at scale.

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Generative AI Responsible AI Automation LLM 89

Marktechpost

SEPTEMBER 25, 2023

Large Language Models (LLMs) have made significant progress in text creation tasks, among other natural language processing tasks. However, LLMs continue to do poorly in producing complicated structured outputs a crucial skill for various applications, from automated report authoring to coding help.

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Large Language Models LLM Natural Language Processing Categorization 126