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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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

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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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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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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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

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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Unite.AI

AUGUST 28, 2024

AI21 Labs has introduced a new solution with Jamba, a state-of-the-art large language model (LLM) that combines the strengths of both Transformer and Mamba architectures in a hybrid framework. AI Development Frameworks: Integration with popular frameworks like LangChain and LlamaIndex (upcoming). A New Chapter in AI Development?

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Marktechpost

SEPTEMBER 12, 2024

OpenAI has once again pushed the boundaries of AI with the release of OpenAI Strawberry o1 , a large language model (LLM) designed specifically for complex reasoning tasks. OpenAI o1 represents a significant leap in AI’s ability to reason, think critically, and improve performance through reinforcement learning.

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TheSequence

DECEMBER 15, 2024

Google emphasizes its commitment to responsible AI development, highlighting safety and security as key priorities in building these agentic experiences. Command R7B: Command R7B, developed by Cohere, is the smallest model in their R series, focusing on speed, efficiency, and quality for building AI applications. .

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Marktechpost

OCTOBER 21, 2024

Some researchers highlighted that AI should have “normative competence,” meaning the ability to understand and adjust to diverse norms, promoting safety pluralism. The adapted strategy first produces an LLM that is easily controllable for safety.

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Marktechpost

AUGUST 22, 2024

NVIDIA has introduced Mistral-NeMo-Minitron 8B , a highly sophisticated large language model (LLM). This model continues their work in developing state-of-the-art AI technologies. As a result, there is a risk that the model could amplify these biases or produce inappropriate responses.

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Towards AI

SEPTEMBER 26, 2024

In this blog, we explore how Bright Data’s tools can enhance your data collection process and what the future holds for web data in the context of AI. The Key Role of Web Data in AI and LLM Development Web data has become an essential resource for training AI models, improving performance, and enabling applications across industries.

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

This means companies need loose coupling between app clients (model consumers) and model inference endpoints, which ensures easy switch among large language model (LLM), vision, or multi-modal endpoints if needed. When the user makes a request using the AI Gateway, it’s routed to Amazon Cognito to determine access for the client.

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Snorkel AI

JUNE 27, 2024

Snorkel AI has spent the last decade pioneering the practice of AI data development and helps some of the world’s most sophisticated enterprises curate their data to build custom AI services. See what Snorkel option is right for you. Book a demo today.

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AWS Machine Learning Blog

SEPTEMBER 26, 2024

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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ODSC - Open Data Science

FEBRUARY 25, 2025

Large Language Models & RAG TrackMaster LLMs & Retrieval-Augmented Generation Large language models (LLMs) and retrieval-augmented generation (RAG) have become foundational to AI development. Whats Next in AI TrackExplore the Cutting-Edge Stay ahead of the curve with insights into the future of AI.

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Google Research AI blog

MAY 25, 2023

PaLM 2 Our next-generation large language model (LLM), PaLM 2 , is built on advances in compute-optimal scaling , scaled instruction-fine tuning and improved dataset mixture. MakerSuite grew out of research focused on prompting tools, or tools explicitly designed for customizing and controlling LLMs. Med-PaLM 2 achieved 86.5%

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