Unite.AI

NOVEMBER 25, 2024

For AI and large language model (LLM) engineers , design patterns help build robust, scalable, and maintainable systems that handle complex workflows efficiently. This article dives into design patterns in Python, focusing on their relevance in AI and LLM -based systems. forms, REST API responses).

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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 275

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 120

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 127

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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LLM Chatbots Conversational AI Large Language Models 117

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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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

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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LLM Software Development AI AI 138

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. 82.02%) and R1 (79.40%).

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LLM Large Language Models Explainability Responsible AI 69

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 82

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

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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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 291

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 164

Unite.AI

APRIL 8, 2025

Other vendors opt to try to use a more flexible generative experience with less bounds on the LLM, however due to a lack of precise retrieval this involves stuffing whole product catalogs or webpages into the context window of the LLM, decreasing the accuracy of the output, potentially disastrously.

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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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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 121

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 Machine Learning Prompt Engineer 113

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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LLM Convolutional Neural Networks Metadata Explainability 107

AWS Machine Learning Blog

APRIL 11, 2025

Although data safety is a key requirement, there are many other factors to take into account, such as responsible AI. Large language models (LLMs) can generate incorrect information due to hallucinations. APE (automated post-edit) An LLM is employed to edit, improve, and correct machine-translated content.

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Automation LLM Generative AI Responsible AI 110

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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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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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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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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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 Install pip.

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Automation Responsible AI Generative AI Software Development 120

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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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.

Automation 146

Automation Responsible AI Generative AI AI Modeling 146

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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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

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.,

LLM 113

LLM Large Language Models Automation AI 113

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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Flipboard

APRIL 23, 2025

Amazon Bedrock Knowledge Bases is a fully managed capability that simplifies the management of the entire RAG workflow, empowering organizations to give foundation models (FMs) and agents contextual information from your private data sources to deliver more relevant and accurate responses tailored to your specific needs.

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Metadata Data Ingestion Responsible AI Generative AI 95

Unite.AI

AUGUST 8, 2024

While single models are suitable in some scenarios, acting as co-pilots, agentic architectures open the door for LLMs to become active components of business process automation. As such, enterprises should consider leveraging LLM-based multi-agent (LLM-MA) systems to streamline complex business processes and improve ROI.

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AI Modeling LLM Automation Responsible AI 159

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 125

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 310

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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