Unite.AI

SEPTEMBER 7, 2023

Today, there are numerous proprietary and open-source LLMs in the market that are revolutionizing industries and bringing transformative changes in how businesses function. Despite rapid transformation, there are numerous LLM vulnerabilities and shortcomings that must be addressed.

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LLM Large Language Models Prompt Engineer Prompt Engineering 173

Unite.AI

FEBRUARY 6, 2025

Outside our research, Pluralsight has seen similar trends in our public-facing educational materials with overwhelming interest in training materials on AI adoption. In contrast, similar resources on ethical and responsible AI go primarily untouched. The legal considerations of AI are a given.

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AI News

MARCH 1, 2024

Musk, who has long voiced concerns about the risks posed by AI, has called for robust government regulation and responsible AI development. See also: Mistral AI unveils LLM rivalling major players Want to learn more about AI and big data from industry leaders?

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Unite.AI

JULY 26, 2024

Meta AI's Llama 3 is another leading LLM built to generate human-like text and understand complex linguistic patterns. Text Evaluation Vision Understanding Overview of Meta AI Llama 3: Meta AI's Llama 3 is a powerful LLM built on an optimized transformer architecture designed for efficiency and scalability.

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ChatGPT OpenAI Natural Language Processing NLP 281

Unite.AI

SEPTEMBER 18, 2024

Responsible Development: The company remains committed to advancing safety and neutrality in AI development. Claude 3 represents a significant advancement in LLM technology, offering improved performance across various tasks, enhanced multilingual capabilities, and sophisticated visual interpretation.

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Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 304

Unite.AI

MARCH 10, 2025

However, one thing is becoming increasingly clear: advanced models like DeepSeek are accelerating AI adoption across industries, unlocking previously unapproachable use cases by reducing cost barriers and improving Return on Investment (ROI).

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AI Modeling Generative AI AI Strategy Data Quality 133

Unite.AI

DECEMBER 1, 2023

As we continue to integrate AI more deeply into various sectors, the ability to interpret and understand these models becomes not just a technical necessity but a fundamental requirement for ethical and responsible AI development. Impact of the LLM Black Box Problem 1.

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AWS Machine Learning Blog

FEBRUARY 20, 2025

The company is committed to ethical and responsible AI development with human oversight and transparency. Verisk is using generative AI to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles.

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AWS Machine Learning Blog

MARCH 14, 2025

Finally, metrics such as ROUGE and F1 can be fooled by shallow linguistic similarities (word overlap) between the ground truth and the LLM response, even when the actual meaning is very different.

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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. TDD is a software development methodology that emphasizes writing tests before implementing actual code.

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Automation Responsible AI Generative AI Software Development 116

Flipboard

APRIL 1, 2025

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%). You can use the test playground and input sample questions and answers that represent real user interactions with your LLM.

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Automation Generative AI AI AI 165

Marktechpost

JANUARY 16, 2024

A large team of Researchers from world-class universities, institutions, and labs have introduced a comprehensive framework, TRUST LLM. The TRUST LLM framework aims to establish a benchmark for evaluating these aspects in mainstream LLMs. The TRUST LLM framework offers a nuanced approach to evaluating large language models.

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LLM Large Language Models Natural Language Processing Artificial Intelligence 110

AWS Machine Learning Blog

DECEMBER 16, 2024

Increasingly, I think generative AI inference is going to be a core building block for every application. To realize this future, organizations need more than just a chatbot or a single powerful large language model (LLM). At re:Invent, we made some exciting announcements about the future of generative AI, of course.

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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. This logic sits in a hybrid search component.

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Generative AI Machine Learning AI AI 113

NVIDIA

MAY 1, 2024

Say It Out Loud ChatRTX uses retrieval-augmented generation , NVIDIA TensorRT-LLM software and NVIDIA RTX acceleration to bring chatbot capabilities to RTX-powered Windows PCs and workstations. The latest version adds support for additional LLMs, including Gemma, the latest open, local LLM trained by Google.

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Marktechpost

MAY 30, 2024

Introduction to AI and Machine Learning on Google Cloud This course introduces Google Cloud’s AI and ML offerings for predictive and generative projects, covering technologies, products, and tools across the data-to-AI lifecycle. It also introduces Google’s 7 AI principles.

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Marktechpost

NOVEMBER 23, 2023

During Data Science Conference 2023 in Belgrade on Thursday, 23 November, it was announced that Real AI won the ISCRA project. Real AI is chosen to build Europe’s first-ever Human-Centered LLM on the world’s 4th largest AI Computer Cluster ‘LEONARDO’. – Tarry Singh , CEO of Real AI B.V.

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Large Language Models LLM AI AI 126

Unite.AI

AUGUST 14, 2024

Anand Kannappan is Co-Founder and CEO of Patronus AI , the industry-first automated AI evaluation and security platform to help enterprises catch LLM mistakes at scale. Our mission is to enhance enterprise confidence in generative AI. What challenges in the financial sector prompted the development of FinanceBench?

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LLM AI AI Large Language Models 130

Unite.AI

APRIL 26, 2024

Parameter Count : The number of parameters in a decoder-based LLM is primarily determined by the embedding dimension (d_model), the number of attention heads (n_heads), the number of layers (n_layers), and the vocabulary size (vocab_size). The post Decoder-Based Large Language Models: A Complete Guide appeared first on Unite.AI.

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Large Language Models Prompt Engineer Prompt Engineering Neural Network 277

AWS Machine Learning Blog

APRIL 4, 2025

Organizations deploying generative AI applications need robust ways to evaluate their performance and reliability. Additionally, the introduction of new citation metrics with our previously released quality and responsible AI metrics also provides deeper insights into how well RAG systems use their knowledge bases and source documents.

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Allen AI

FEBRUARY 1, 2024

The framework features a suite of completely open AI development tools, including: Full pretraining data : The model is built on AI2’s Dolma set which features three trillion token open corpus for language model pretraining, including code that produces the training data.

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LLM Large Language Models AI Researcher AI Research 76

AWS Machine Learning Blog

FEBRUARY 25, 2025

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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Chatbots Categorization LLM Algorithm 75

Marktechpost

MAY 6, 2024

With Meta Llama 3 models setting new standards in the field, the transition to Llama 3 signifies a significant turning point in AI development. The core objective is to deliver the most sophisticated and approachable open-source models to encourage creativity and cooperation within the AI community.

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Large Language Models Natural Language Processing NLP Responsible AI 122

Unite.AI

JULY 12, 2024

To ensure effective implementation, companies must first assess their current AI capabilities and identify areas that could benefit from increased flexibility. For instance, building an LLM-agnostic infrastructure allows businesses to switch language models as newer, advanced versions become available.

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Towards AI

JULY 27, 2024

We will also discuss how it differs from the most popular generative AI tool ChatGPT. Claude AI Claude AI is developed by Anthropic, an AI startup company backed by Google and Amazon, and is dedicated to developing safe and beneficial AI. ChatGPT vs. Claude AI: How do they differ?

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ChatGPT Prompt Engineering Prompt Engineer Explainability 119

Marktechpost

DECEMBER 24, 2023

This paper (from a team of researchers from the University of Massachusetts Amherst, Columbia University, Google, Stanford University, and New York University) is a significant contribution to the ongoing discourse surrounding LLM safety, as it meticulously explores the intricate dynamics of these models during the finetuning process.

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Machine Learning Algorithm Large Language Models LLM 116

ODSC - Open Data Science

MARCH 18, 2025

With a PhD, a law degree, and a Harvard fellowship, Rajiv is not only a technical leader but also a dynamic communicatorhis viral AI insights on @rajistics have amassed over 10 millionviews. Dr. Andre Franca, CTO ofErgodic Andre is the co-founder and CTO of Ergodic, pioneering AI powered by world models for smarter decision-making.

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Data Science Machine Learning Software Engineer Data Scientist 64

IBM Journey to AI blog

OCTOBER 16, 2023

It’s essential for an enterprise to work with responsible, transparent and explainable AI, which can be challenging to come by in these early days of the technology. Generative AI chatbots have been known to insult customers and make up facts. But how trustworthy is that training data?

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Metadata Explainability Automation Explainable AI 220

Marktechpost

MARCH 17, 2024

A great deal of responsibility, however, is associated with this power. Even the most advanced AI models are susceptible to biases, security flaws, and unforeseen outcomes. Meet Vectorview , a cool startup that is standing up for ethical AI development. Subscribe to our AI Research Startup Newsletter Here.

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AI Researcher AI Research LLM Artificial Intelligence 59

Marktechpost

MAY 27, 2024

This model set the stage for broader use and commercial applications, demonstrating Meta’s commitment to responsible AI development. Integrating new safety tools like Llama Guard 2 and Code Shield further emphasizes Meta’s focus on responsible AI deployment.

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ODSC - Open Data Science

OCTOBER 24, 2024

Time is running out to get your pass to the can’t-miss technical AI conference of the year. Our incredible lineup of speakers includes world-class experts in AI engineering, AI for robotics, LLMs, machine learning, and much more. Register here before we sell out!

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ML LLM Data Science Robotics 52

AWS Machine Learning Blog

MARCH 14, 2024

We formulated a text-to-SQL approach where by a user’s natural language query is converted to a SQL statement using an LLM. This data is again provided to an LLM, which is asked to answer the user’s query given the data. The relevant information is then provided to the LLM for final response generation.

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AWS Machine Learning Blog

MAY 9, 2024

The company is committed to ethical and responsible AI development, with human oversight and transparency. Verisk is using generative artificial intelligence (AI) to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles.

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Insight Engine Generative AI LLM AI 130

Towards AI

AUGUST 22, 2023

Last Updated on August 23, 2023 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. Sakana AI is spearheading efforts to create its proprietary generative AI model, which means software that can create text, images, code, and more.

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Marktechpost

SEPTEMBER 8, 2024

This stage involved offline and online DPO methods, ensuring the model could generate responses that met user expectations while minimizing the likelihood of inappropriate or biased outputs. s Outstanding Performance on Rigorous English and Korean Benchmarks and Standing on the Open LLM Leaderboard 2 EXAONE 3.0 EXAONE 3.0’s

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AWS Machine Learning Blog

NOVEMBER 30, 2023

Amazon SageMaker Clarify now provides AWS customers with foundation model (FM) evaluations, a set of capabilities designed to evaluate and compare model quality and responsibility metrics for any LLM, in minutes. You can use FMEval to evaluate AWS-hosted LLMs such as Amazon Bedrock, Jumpstart and other SageMaker models.

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Large Language Models Algorithm LLM Responsible AI 113

Unite.AI

OCTOBER 22, 2024

Data quality plays a crucial role in AI model development. Could you share how Appen ensures the accuracy, diversity, and relevance of its datasets, especially with the increasing demand for high-quality LLM training data? Together, they provide a balanced approach to creating high-quality training data for AI.

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