Unite.AI

OCTOBER 23, 2024

One emerging solution to address these concerns is LLM unlearning —a process that allows models to forget specific pieces of information without compromising their overall performance. This approach is gaining popularity as a vital step in protecting the privacy of LLMs while promoting their ongoing development.

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Unite.AI

SEPTEMBER 7, 2023

We are seeing a progression of Generative AI applications powered by large language models (LLM) from prompts to retrieval augmented generation (RAG) to agents. In my previous article , we saw a ladder of intelligence of patterns for building LLM powered applications. Let's look in detail. Sounds exciting!?

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LLM Generative AI Large Language Models Responsible AI 277

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 124

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. Rigorous testing allows us to understand an LLMs capabilities, limitations, and potential biases, and provide actionable feedback to identify and mitigate risk.

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LLM Large Language Models ML Algorithm 113

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

AWS Machine Learning Blog

FEBRUARY 5, 2025

In this blog post, we explore a real-world scenario where a fictional retail store, AnyCompany Pet Supplies, leverages LLMs to enhance their customer experience. We will provide a brief introduction to guardrails and the Nemo Guardrails framework for managing LLM interactions. What is Nemo Guardrails?

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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 157

NVIDIA

DECEMBER 24, 2024

For many, tools like ChatGPT were their first introduction to AI. LLM-powered chatbots have transformed computing from basic, rule-based interactions to dynamic conversations. Introduced in March, ChatRTX is a demo app that lets users personalize a GPT LLM with their own content, such as documents, notes and images.

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AWS Machine Learning Blog

FEBRUARY 12, 2025

This combination makes achieving low latency a challenge for use cases such as real-time text completion, simultaneous translation, or conversational voice assistants, where subsecond response times are critical. With Medusa-1, the predictions are identical to those of the originally fine-tuned LLM. In this post, we focus on Medusa-1.

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LLM ML Natural Language Processing Machine Learning 77

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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LLM Explainability AI AI 165

John Snow Labs

NOVEMBER 27, 2024

Maintaining our CarbonNeutral certification in 2024 underscores our dedication to operating ethically while addressing the environmental challenges of the AI industry.” The post John Snow Labs Achieves CarbonNeutral® Certification for 2024, Championing Sustainability as a Pillar of Responsible AI appeared first on John Snow Labs.

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Unite.AI

FEBRUARY 7, 2024

In addition, LLMOps provides techniques to improve the data quality, diversity, and relevance and the data ethics, fairness, and accountability of LLMs. Moreover, LLMOps offers methods to enable the creation and deployment of complex and diverse LLM applications by guiding and enhancing LLM training and evaluation.

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Machine Learning Large Language Models LLM BERT 294

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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Artificial Intelligence Artificial Intelligence ML Responsible AI 165

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. Verisk developed an evaluation tool to enhance response quality.

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Unite.AI

FEBRUARY 17, 2025

Infrastructure and Scalability: Running large AI models requires significant computational resources, and scalability can also be an issue. Good design will prevent excess resource consumption for example, a specialized SLM can be as effective as a more generalized LLM and significantly reduce computational requirements and latencies.

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Automation Responsible AI Generative AI AI Modeling 147

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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OpenAI Big Data Responsible AI LLM 323

AWS Machine Learning Blog

NOVEMBER 14, 2024

Core benefits of Amazon Bedrock and Amazon Location Service Amazon Bedrock provides capabilities to build generative AI applications with security, privacy, and responsible AI practices. Being serverless, it allows secure integration and deployment of generative AI capabilities without managing infrastructure.

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LLM Generative AI Prompt Engineer Prompt Engineering 111

AWS Machine Learning Blog

NOVEMBER 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, Mistral AI, Stability AI, and Amazon through a single API. The following screenshot shows the response. You can try out something harder as well.

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Convolutional Neural Networks LLM Metadata Explainability 106

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 Automation 133

AI News

MARCH 7, 2024

Indeed, as Anthropic prompt engineer Alex Albert pointed out, during the testing phase of Claude 3 Opus, the most potent LLM (large language model) variant, the model exhibited signs of awareness that it was being evaluated. Stability AI, in previewing Stable Diffusion 3, noted that the company believed in safe, responsible AI practices.

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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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LLM Machine Learning Explainability Algorithm 264

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. Visit Claude 3 → 2.

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Marktechpost

JULY 2, 2024

The primary goal is to prevent LLMs from engaging in unsafe or inappropriate user requests. Current methodologies face challenges in comprehensively evaluating LLM safety, including aspects such as toxicity, harmfulness, trustworthiness, and refusal behaviors. Results showed that fine-tuned smaller-scale LLMs (e.g.,

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LLM Large Language Models Automation AI 113

AWS Machine Learning Blog

DECEMBER 5, 2023

New and powerful large language models (LLMs) are changing businesses rapidly, improving efficiency and effectiveness for a variety of enterprise use cases. Speed is of the essence, and adoption of LLM technologies can make or break a business’s competitive advantage. This optimization pass is delivered through an extension to PyTorch.

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LLM Generative AI AI AI 127

Unite.AI

JULY 4, 2024

Google Open Source LLM Gemma In this comprehensive guide, we'll explore Gemma 2 in depth, examining its architecture, key features, and practical applications. Responsible Use : Adhere to Google's Responsible AI practices and ensure your use of Gemma 2 aligns with ethical AI principles.

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Large Language Models LLM Natural Language Processing Explainability 312

AWS Machine Learning Blog

OCTOBER 17, 2023

In this post, we describe how Amazon Pharmacy implemented its customer care agent assistant chatbot solution using AWS AI products, including foundation models in Amazon SageMaker JumpStart to accelerate its development. Agents use a separate internal customer care UI to ask questions to the LLM-based Q&A chatbot (Step 2).

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LLM Chatbots Explainability Generative AI 123

IBM Journey to AI blog

JULY 23, 2024

In the accompanying launch announcement, Meta stated that “[their] goal in the near future is to make Llama 3 multilingual and multimodal, have longer context, and continue to improve overall performance across LLM capabilities such as reasoning and coding.” ” Today’s launch of Llama 3.1 Likewise, Llama 3.1

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LLM Large Language Models Generative AI Responsible AI 249

AWS Machine Learning Blog

OCTOBER 16, 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, Mistral AI, 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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Metadata Automation Generative AI AI 117

AWS Machine Learning Blog

MARCH 6, 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 via a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

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LLM Generative AI ML Prompt Engineer 76

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

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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John Snow Labs

MAY 21, 2024

This combination of nine benchmarks challenges AI models to answer thousands of medical licensing exam questions (MedQA), biomedical research questions (PubMedQA), and college-level exams in anatomy, genetics, biology, and medicine (MMLU). Recent research shows that lack of accuracy was the most concerning roadblock to Generative AI adoption.

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Unite.AI

DECEMBER 14, 2023

This can result in biased outcomes and hinder the effectiveness of LLMs on other tasks. Data contamination can negatively impact LLM performance in various ways. Various techniques are employed to identify data contamination in LLMs. Data security plays a critical role in LLMs.

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Large Language Models LLM Artificial Intelligence Artificial Intelligence 173

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

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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Flipboard

JANUARY 22, 2025

For general travel inquiries, users receive instant responses powered by an LLM. For this node, the condition value is: Name: Booking Condition: categoryLetter=="A" Create a second prompt node for the LLM guide invocation. The flow offers two distinct interaction paths.

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Generative AI ML Automation Explainability 170

AWS Machine Learning Blog

JANUARY 28, 2025

In interactive AI applications, delayed responses can break the natural flow of conversation, diminish user engagement, and ultimately affect the adoption of AI-powered solutions. This feature is especially helpful for time-sensitive workloads where rapid response is business critical.

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