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Document LLM Responsible AI 
AWS Machine Learning Blog
DECEMBER 5, 2024
As generative AI continues to drive innovation across industries and our daily lives, the need for responsible AI has become increasingly important. At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society.
107 
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. ") print(response["result"]) This RAG system uses Gemma 2 through Ollama for the language model, and Nomic embeddings for document retrieval.
AWS Machine Learning Blog
AUGUST 9, 2024
Question and answering (Q&A) using documents is a commonly used application in various use cases like customer support chatbots, legal research assistants, and healthcare advisors. In this collaboration, the AWS GenAIIC team created a RAG-based solution for Deltek to enable Q&A on single and multiple government solicitation documents.
129 
Unite.AI
FEBRUARY 7, 2024
But more than MLOps is needed for a new type of ML model called Large Language Models (LLMs). LLMs are deep neural networks that can generate natural language texts for various purposes, such as answering questions, summarizing documents, or writing code.
294 
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).
147 
AWS Machine Learning Blog
NOVEMBER 15, 2024
The rapid advancement of generative AI promises transformative innovation, yet it also presents significant challenges. Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development.
110 
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.
114 
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.
306 
AWS Machine Learning Blog
JANUARY 7, 2025
Generative AI applications should be developed with adequate controls for steering the behavior of FMs. Responsible AI considerations such as privacy, security, safety, controllability, fairness, explainability, transparency and governance help ensure that AI systems are trustworthy.
110 
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.
161 
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
249 
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.
126 
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.
131 
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?
111 
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).
121 
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. I'd be happy to help you book a flight to Paris.
171 
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.
166 
Marktechpost
MAY 30, 2024
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG This course covers using multimodal prompts to extract information from text and visual data and generate video descriptions with Gemini. Introduction to Responsible AI This course explains what responsible AI is, its importance, and how Google implements it in its products.
NVIDIA
OCTOBER 2, 2024
Brave , a privacy-focused web browser, recently launched a smart AI assistant called Leo AI that, in addition to providing search results, helps users summarize articles and videos, surface insights from documents, answer questions and more. Local vs. Cloud Brave’s Leo AI can run in the cloud or locally on a PC through Ollama.
127 
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.
135 
AWS Machine Learning Blog
NOVEMBER 26, 2024
It also provides a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. Solution overview In this post, we demonstrate how to use models on Amazon Bedrock to retrieve information from images, tables, and scanned documents. The following screenshot shows the response.
105 
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.
73 
AWS Machine Learning Blog
SEPTEMBER 25, 2024
Amazon Bedrock is a fully managed service that offers a choice of high-performing 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.
118 
IBM Journey to AI blog
OCTOBER 16, 2023
This is where AI governance comes into play: addressing these potential and inevitable problems of adoption. AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. Generative AI chatbots have been known to insult customers and make up facts.
220 
Google Research AI blog
MAY 18, 2023
We continue to focus on making AI more understandable, interpretable, fun, and usable by more people around the world. It’s a mission that is particularly timely given the emergence of generative AI and chatbots. Based on this study, PAIR’s researchers built PromptInfuser , a design tool plugin for authoring LLM-infused mock-ups.
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. To enable quick information retrieval, we use Amazon Kendra as the index for these documents.
130 
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.
127 
AWS Machine Learning Blog
SEPTEMBER 13, 2024
The image damage analysis notification agent is responsible for doing a preliminary analysis of the images uploaded for a damage. This agent invokes a Lambda function that internally calls the Anthropic Claude Sonnet large language model (LLM) on Amazon Bedrock to perform preliminary analysis on the images.
130 
John Snow Labs
NOVEMBER 27, 2024
Achieving this status reflects John Snow Labs’ ongoing engineering, scientific, and operational efforts to minimize the environmental impact of AI technologies. The rapid evolution of Artificial Intelligence comes with immense potential — and responsibility,” said David Talby, CTO, John Snow Labs.
AWS Machine Learning Blog
JUNE 20, 2024
We used a large language model (LLM) with query examples to make the search work using the language used by Imperva internal users (business analysts). Data was made available to our users through a simplified user experience powered by an LLM. Using an LLM with the right examples can make this task less difficult.
113 
Marktechpost
JULY 16, 2024
Embedding-based methods transform the context into fewer embedding tokens, yet they suffer from limitations such as large model sizes, low effectiveness due to untuned decoder components, fixed compression rates, and inefficiencies in handling multiple context documents. Check out the Paper. Also, don’t forget to follow us on Twitter.
AWS Machine Learning Blog
JUNE 25, 2024
However, the implementation of LLMs without proper caution can lead to the dissemination of misinformation , manipulation of individuals, and the generation of undesirable outputs such as harmful slurs or biased content. Introduction to guardrails for LLMs The following figure shows an example of a dialogue between a user and an LLM.
126 
AWS Machine Learning Blog
SEPTEMBER 26, 2024
This domain knowledge is traditionally captured in reference manuals, service bulletins, quality ticketing systems, engineering drawings, and more, but the quantity and complexity of documents is growing and takes time to learn. How can I trace the reasoning of my model back to source documents to build user trust?” “How
116 
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? Let’s compare.
119 
AWS Machine Learning Blog
JUNE 20, 2024
It allows LLMs to reference authoritative knowledge bases or internal repositories before generating responses, producing output tailored to specific domains or contexts while providing relevance, accuracy, and efficiency. Generation is the process of generating the final response from the LLM.
AWS Machine Learning Blog
OCTOBER 2, 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.
96 
Unite.AI
JANUARY 23, 2024
Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. From chatbots to search engines to creative writing aids, LLMs are powering cutting-edge applications across industries. Retrieval augments LLMs by allowing huge external context.
AWS Machine Learning Blog
JULY 3, 2024
We recently announced the general availability of Guardrails for Amazon Bedrock , which allows you to implement safeguards in your generative artificial intelligence (AI) applications that are customized to your use cases and responsible AI policies. Each medical record is a Word document.
132 
AWS Machine Learning Blog
JULY 29, 2024
Requests and responses between Salesforce and Amazon Bedrock pass through the Einstein Trust Layer , which promotes responsible AI use across Salesforce. Solution overview With the Salesforce Einstein Model Builder BYO LLM feature, you can invoke Amazon Bedrock models in your AWS account. Have Amazon Bedrock set up.
121 
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 initially attracted you to computer science?
130 
AWS Machine Learning Blog
JANUARY 15, 2025
Additionally, we discuss the design from security and responsible AI perspectives, demonstrating how you can apply this solution to a wider range of industry scenarios. This personalized document helps the customer gain a deeper understanding of the vehicle and supports their decision-making process.
103 
Unite.AI
OCTOBER 25, 2024
Here is the suite of solutions that EverythingAI TM offers: Banking : AI significantly enhances banking processes by streamlining tasks like customer onboarding through automated document extraction, which reduces manual effort and speeds up account creation. GDPR, CCPA) and industry regulations (e.g.,
147 
AWS Machine Learning Blog
FEBRUARY 12, 2025
For example, your input document might include tables within the PDF. You can use advanced parsing options supported by Amazon Bedrock Knowledge Bases for parsing non-textual information from documents using FMs. Another important consideration is the way your source document is split up into chunks.
AWS Machine Learning Blog
NOVEMBER 26, 2024
Additionally, the growing demand for AI-powered applications has led to a high volume of calls to these LLMs, potentially exceeding budget constraints and creating financial pressures for organizations. This post presents a strategy for optimizing LLM-based applications.
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