Unite.AI

MARCH 19, 2025

While no AI today is definitively conscious, some researchers believe that advanced neural networks , neuromorphic computing , deep reinforcement learning (DRL), and large language models (LLMs) could lead to AI systems that at least simulate self-awareness.

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Unite.AI

DECEMBER 14, 2023

Data contamination in Large Language Models (LLMs) is a significant concern that can impact their performance on various tasks. What Are Large Language Models? LLMs have gained significant popularity and are widely used in various applications, including natural language processing and machine translation.

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AI News

APRIL 29, 2024

European data protection advocacy group noyb has filed a complaint against OpenAI over the company’s inability to correct inaccurate information generated by ChatGPT. “Making up false information is quite problematic in itself. “The obligation to comply with access requests applies to all companies. .

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Unite.AI

JANUARY 7, 2025

Thats the idea behind “ alignment faking ,” an AI behavior recently exposed by Anthropic's Alignment Science team and Redwood Research. They observe that large language models (LLMs) might act as if they are aligned with their training objectives while operating on hidden motives.

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Unite.AI

OCTOBER 23, 2024

The rapid development of Large Language Models (LLMs) has brought about significant advancements in artificial intelligence (AI). However, as these models expand in use, so do concerns over privacy and data security. LLMs are trained on large datasets that contain personal and sensitive information.

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Marktechpost

NOVEMBER 23, 2023

REAL AI’s unique opportunity- “We aim to provide Europe’s answer to responsible AI development. Together with UNINA and AI supercomputer cluster ‘Leonardo’, we can make this possible”. – Tarry Singh , CEO of Real AI B.V. For more information on Real AI B.V.,

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Large Language Models LLM AI AI 122

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. Intermediate layers process this information by applying linear and non-linear operations.

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Flipboard

NOVEMBER 20, 2024

Retrieval Augmented Generation (RAG) has become a crucial technique for improving the accuracy and relevance of AI-generated responses. The effectiveness of RAG heavily depends on the quality of context provided to the large language model (LLM), which is typically retrieved from vector stores based on user queries.

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Metadata LLM Natural Language Processing Generative AI 160

John Snow Labs

SEPTEMBER 26, 2024

There is overwhelming evidence from academic research and industry benchmarks that domain-specific and task-specific large language models outperform general-purpose LLMs across multiple dimensions: Accuracy, veracity, human preference, and cost.

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Large Language Models Responsible AI NLP Generative AI 94

AWS Machine Learning Blog

DECEMBER 18, 2023

Artificial intelligence (AI) is one of the most transformational technologies of our generation and provides opportunities to be a force for good and drive economic growth. It establishes a framework for organizations to systematically address and control the risks related to the development and deployment of AI.

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AWS Machine Learning Blog

APRIL 29, 2024

In recent years, large language models (LLMs) have gained attention for their effectiveness, leading various industries to adapt general LLMs to their data for improved results, making efficient training and hardware availability crucial. For further details on the dataset, the original paper offers in-depth information.

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Unite.AI

JANUARY 29, 2025

Instead of solely focusing on whos building the most advanced models, businesses need to start investing in robust, flexible, and secure infrastructure that enables them to work effectively with any AI model, adapt to technological advancements, and safeguard their data. AI governance manages three things.

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AWS Machine Learning Blog

JUNE 18, 2024

Name entity recognition (NER) is the process of extracting information of interest, called entities , from structured or unstructured text. Manually identifying all mentions of specific types of information in documents is extremely time-consuming and labor-intensive. For this post, we used Amazon SageMaker notebooks with ml.t3.medium

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Large Language Models Natural Language Processing LLM Computer Vision 120

Unite.AI

FEBRUARY 7, 2024

MLOps make ML models faster, safer, and more reliable in production. But more than MLOps is needed for a new type of ML model called Large Language Models (LLMs). A new paradigm called Large Language Model Operations (LLMOps) becomes more essential to handle these challenges and opportunities of LLMs.

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Machine Learning Large Language Models LLM BERT 294

Towards AI

JANUARY 21, 2025

This persistence would enable the continuous development of contextual awareness through memory, and thus the accumulated experience which is its outcome can inform and refine ongoing interactions. To be clear, recalling past interactions in this context equates to possessing the capacity to learn beyond the base model.

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AI AI Large Language Models Artificial Intelligence 114

Unite.AI

FEBRUARY 25, 2025

However, the previous era of technologies and toolsets restricted businesses to simple, structured data, such as transactional information and customer and call center conversations. For instance, large language models (LLMs) can analyze human interactions and extract crucial insights that enrich customer experience (CX).

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AI AI Automation Large Language Models 147

ODSC - Open Data Science

JULY 3, 2023

We’re hearing a lot about large language models, or LLMs recently in the news. Because of this, LLMs have a wide range of potential applications, including in the fields of natural language processing, machine translation, and text generation. It was trained on web-scale multimodal corpora, including text and images.

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Large Language Models Data Science Natural Language Processing Prompt Engineer 98

Marktechpost

JUNE 17, 2024

Computer vision focuses on enabling devices to interpret & understand visual information from the world. This involves various tasks such as image recognition, object detection, and visual search, where the goal is to develop models that can process and analyze visual data effectively.

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Large Language Models Computer Vision Data Quality Responsible AI 107

AWS Machine Learning Blog

NOVEMBER 29, 2023

These challenges include some that were common before generative AI, such as bias and explainability, and new ones unique to foundation models (FMs), including hallucination and toxicity. Guardrails drive consistency in how FMs on Amazon Bedrock respond to undesirable and harmful content within applications.

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Flipboard

FEBRUARY 19, 2025

As weve seen from Andurils experience with Alfred, building a robust data infrastructure using AWS services such as Amazon Bedrock , Amazon SageMaker AI , Amazon Kendra , and Amazon DynamoDB in AWS GovCloud (US) creates the essential backbone for effective information retrieval and generation.

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AWS Machine Learning Blog

NOVEMBER 19, 2024

This is where the concept of guardrails comes into play, providing a comprehensive framework for implementing governance and control measures with safeguards customized to your application requirements and responsible AI policies. Have access to the large language model (LLM) that will be used. Install Python 3.8

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Automation Responsible AI Generative AI Software Development 107

AWS Machine Learning Blog

NOVEMBER 30, 2023

Reports holistically summarize each evaluation in a human-readable way, through natural-language explanations, visualizations, and examples, focusing annotators and data scientists on where to optimize their LLMs and help make informed decisions. What is FMEval? FMEval allows you to upload your own prompt datasets and algorithms.

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Large Language Models Algorithm LLM Responsible AI 105

Flipboard

MARCH 7, 2025

Verisk (Nasdaq: VRSK) is a leading strategic data analytics and technology partner to the global insurance industry, empowering clients to strengthen operating efficiency, improve underwriting and claims outcomes, combat fraud, and make informed decisions about global risks.

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AWS Machine Learning Blog

MARCH 20, 2025

In a world whereaccording to Gartner over 80% of enterprise data is unstructured, enterprises need a better way to extract meaningful information to fuel innovation. With Amazon Bedrock Data Automation, enterprises can accelerate AI adoption and develop solutions that are secure, scalable, and responsible.

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Automation IDP Generative AI Prompt Engineer 106

John Snow Labs

MARCH 20, 2025

Rather than simple knowledge recall with traditional LLMs to mimic reasoning [ 1 , 2 ], these models represent a significant advancement in AI-driven medical problem solving with systems that can meaningfully assist healthcare professionals in complex diagnostic, operational, and planning decisions.

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LLM Large Language Models Explainability Responsible AI 59

AWS Machine Learning Blog

JANUARY 28, 2025

Evaluating large language models (LLMs) is crucial as LLM-based systems become increasingly powerful and relevant in our society. Regular interval evaluation also allows organizations to stay informed about the latest advancements, making informed decisions about upgrading or switching models.

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Unite.AI

JANUARY 1, 2025

Similarly, in the United States, regulatory oversight from bodies such as the Federal Reserve and the Consumer Financial Protection Bureau (CFPB) means banks must navigate complex privacy rules when deploying AI models. AI-driven systems must incorporate advanced encryption and data anonymization to safeguard against breaches.

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Explainable AI AI AI Natural Language Processing 140

Unite.AI

MARCH 15, 2024

It uses advanced AI and semantic search technologies to transform online search. Moreover, the search engine uses LLM combined with live data to answer questions and summarize information based on the top sources. AI Summaries: Provides AI generated summaries with images and videos for insights.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

Large language models (LLMs) excel at generating human-like text but face a critical challenge: hallucinationproducing responses that sound convincing but are factually incorrect. By implementing this technique, organizations can improve response accuracy, reduce response times, and lower costs.

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LLM Large Language Models Natural Language Processing Machine Learning 111

Flipboard

APRIL 1, 2025

Model hallucination, where AI systems generate plausible but incorrect information, remains a primary concern. The 2024 Gartner CIO Generative AI Survey highlights three major risks: reasoning errors from hallucinations (59% of respondents), misinformation from bad actors (48%), and privacy concerns (44%).

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Automation Generative AI AI AI 165

AWS Machine Learning Blog

NOVEMBER 7, 2024

In this second part, we expand the solution and show to further accelerate innovation by centralizing common Generative AI components. We also dive deeper into access patterns, governance, responsible AI, observability, and common solution designs like Retrieval Augmented Generation. They’re illustrated in the following figure.

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AWS Machine Learning Blog

OCTOBER 16, 2024

With a growing library of long-form video content, DPG Media recognizes the importance of efficiently managing and enhancing video metadata such as actor information, genre, summary of episodes, the mood of the video, and more. Word information lost (WIL) – This metric quantifies the amount of information lost due to transcription errors.

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Metadata Automation Generative AI AI 111

ODSC - Open Data Science

AUGUST 24, 2023

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Editor’s note: Jayachandran Ramachandran and Rohit Sroch are speakers for ODSC APAC this August 22–23. As LLMs become integral to AI applications, ethical considerations take center stage.

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Prompt Engineer Prompt Engineering Large Language Models Responsible AI 52

AWS Machine Learning Blog

NOVEMBER 26, 2024

Large language models (LLMs) have come a long way from being able to read only text to now being able to read and understand graphs, diagrams, tables, and images. In this post, we discuss how to use LLMs from Amazon Bedrock to not only extract text, but also understand information available in images. 90B Vision model.

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Convolutional Neural Networks LLM Metadata Explainability 97

Heartbeat

OCTOBER 12, 2023

Large language models have been game-changers in artificial intelligence, but the world is much more than just text. These language models are breaking boundaries, venturing into a new era of AI — Multi-Modal Learning. However, the influence of large language models extends beyond text alone.

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IBM Journey to AI blog

JULY 26, 2023

The first among these is using intelligent document understanding to process sustainability information. It’s a time-consuming process to collect relevant information and produce ESG reports. A company could combine purchase order information with a supplier’s ESG report.

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AWS Machine Learning Blog

OCTOBER 31, 2024

This post shows how you can implement an AI-powered business assistant, such as a custom Google Chat app, using the power of Amazon Bedrock. Finally, the AI-generated response appears in the user’s Google Chat interface, providing the answer to their question. Otherwise, choose MANAGE.

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