Flipboard

MARCH 7, 2025

At the forefront of using generative AI in the insurance industry, Verisks generative AI-powered solutions, like Mozart, remain rooted in ethical and responsible AI use. Prompt optimization The change summary is different than showing differences in text between the two documents.

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AWS Machine Learning Blog

JANUARY 30, 2025

By combining the advanced NLP capabilities of Amazon Bedrock with thoughtful prompt engineering, the team created a dynamic, data-driven, and equitable solution demonstrating the transformative potential of large language models (LLMs) in the social impact domain. Focus solely on providing the assessment based on the given inputs.

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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. The company says it has also achieved ‘near human’ proficiency in various tasks.

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ODSC - Open Data Science

AUGUST 24, 2023

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Editor’s note: Jayachandran Ramachandran and Rohit Sroch are speakers for ODSC APAC this August 22–23. As LLMs become integral to AI applications, ethical considerations take center stage.

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Unite.AI

APRIL 26, 2024

Prompt Engineering : The quality and specificity of the input prompt can significantly impact the generated text. Prompt engineering, the art of crafting effective prompts, has emerged as a crucial aspect of leveraging LLMs for various tasks, enabling users to guide the model's generation process and achieve desired outputs.

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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. They’re illustrated in the following figure.

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ODSC - Open Data Science

JANUARY 29, 2024

The role of prompt engineer has attracted massive interest ever since Business Insider released an article last spring titled “ AI ‘Prompt Engineer Jobs: $375k Salary, No Tech Backgrund Required.” It turns out that the role of a Prompt Engineer is not simply typing questions into a prompt window.

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Marktechpost

JUNE 19, 2024

The learning path comprises three courses: Generative AI, Large Language Models, and Responsible AI. Generative AI for Everyone This course provides a unique perspective on using generative AI. It aims to empower everyone to participate in an AI-powered future.

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ODSC - Open Data Science

FEBRUARY 16, 2024

Recently, we posted an in-depth article about the skills needed to get a job in prompt engineering. Now, what do prompt engineering job descriptions actually want you to do? Here are some common prompt engineering use cases that employers are looking for.

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AWS Machine Learning Blog

JANUARY 4, 2024

Specifically, we discuss the following: Why do we need Text2SQL Key components for Text to SQL Prompt engineering considerations for natural language or Text to SQL Optimizations and best practices Architecture patterns Why do we need Text2SQL? Effective prompt engineering is key to developing natural language to SQL systems.

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Marktechpost

JUNE 8, 2024

Microsoft’s AI courses offer comprehensive coverage of AI and machine learning concepts for all skill levels, providing hands-on experience with tools like Azure Machine Learning and Dynamics 365 Commerce.

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Marktechpost

MAY 30, 2024

Introduction to Responsible AI This course explains what responsible AI is, its importance, and how Google implements it in its products. It also introduces Google’s 7 AI principles. Introduction to Vertex AI Studio This course introduces Vertex AI Studio for prototyping and customizing generative AI models.

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AWS Machine Learning Blog

NOVEMBER 14, 2024

It enables you to privately customize the FM of your choice with your data using techniques such as fine-tuning, prompt engineering, and retrieval augmented generation (RAG) and build agents that run tasks using your enterprise systems and data sources while adhering to security and privacy requirements.

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AWS Machine Learning Blog

FEBRUARY 12, 2025

Responsible AI Implementing responsible AI practices is crucial for maintaining ethical and safe deployment of RAG systems. This includes using guardrails to filter harmful content, deny certain topics, mask sensitive information, and ground responses in verified sources to reduce hallucinations.

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ODSC - Open Data Science

SEPTEMBER 28, 2023

5 Must-Have Skills to Get Into Prompt Engineering From having a profound understanding of AI models to creative problem-solving, here are 5 must-have skills for any aspiring prompt engineer. The Implications of Scaling Airflow Wondering why you’re spending days just deploying code and ML models?

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Towards AI

JULY 27, 2024

Dedicated to safety and security It is a well-known fact that Anthropic prioritizes responsible AI development the most, and it is clearly seen in Claude’s design. This generative AI model is trained on a carefully curated dataset thus it minimizes biases and factual errors to a large extent.

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Unite.AI

SEPTEMBER 7, 2023

By developing prompts that exploit the model's biases or limitations, attackers can coax the AI into generating inaccurate content that aligns with their agenda. Solution Establishing predefined guidelines for prompt usage and refining prompt engineering techniques can help curtail this LLM vulnerability.

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AWS Machine Learning Blog

MAY 13, 2024

Amazon Bedrock also comes with a broad set of capabilities required to build generative AI applications with security, privacy, and responsible AI. You can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with.

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IBM Journey to AI blog

JULY 23, 2024

An important step forward for accessible, open, responsible AI innovation In December of 2023, Meta and IBM launched the AI Alliance in collaboration with over 50 global founding members and collaborators. .” Today’s launch of Llama 3.1 405B will be available in IBM watsonx.ai

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AWS Machine Learning Blog

JANUARY 28, 2025

By investing in robust evaluation practices, companies can maximize the benefits of LLMs while maintaining responsible AI implementation and minimizing potential drawbacks. To support robust generative AI application development, its essential to keep track of models, prompt templates, and datasets used throughout the process.

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AWS Machine Learning Blog

MARCH 14, 2025

This post focuses on RAG evaluation with Amazon Bedrock Knowledge Bases, provides a guide to set up the feature, discusses nuances to consider as you evaluate your prompts and responses, and finally discusses best practices.

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IBM Journey to AI blog

MARCH 4, 2024

Do you use gen AI out of the box? How can you master prompt engineering? When should you prompt-tune or fine-tune? Where do you harness gen AI vs. predictive AI vs. AI orchestration? If so, where will it run? Which approach requires on-premises GPUs?

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AWS Machine Learning Blog

JUNE 25, 2024

With Amazon Bedrock, developers can experiment, evaluate, and deploy generative AI applications without worrying about infrastructure management. Its enterprise-grade security, privacy controls, and responsible AI features enable secure and trustworthy generative AI innovation at scale.

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ODSC - Open Data Science

NOVEMBER 30, 2023

2023 Was the Year of Large Language Models: Then and Now The 2023 AI landscape was defined by large language models, and these are a few milestones that made it as such. Top 10 Errors in R and How to Fix Them In this post, we highlight the 10 most common errors in R and how to fix them.

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AWS Machine Learning Blog

JANUARY 28, 2025

To effectively optimize AI applications for responsiveness, we need to understand the key metrics that define latency and how they impact user experience. These metrics differ between streaming and nonstreaming modes and understanding them is crucial for building responsive AI applications.

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Marktechpost

JULY 9, 2024

By demystifying AI, businesses can create a common knowledge framework that empowers every team member to contribute to AI initiatives effectively. Microsoft emphasizes the importance of responsible AI in this foundational stage, ensuring that the AI systems developed are ethical, inclusive, reliable, and secure.

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AWS Machine Learning Blog

NOVEMBER 29, 2023

Since launching in June 2023, the AWS Generative AI Innovation Center team of strategists, data scientists, machine learning (ML) engineers, and solutions architects have worked with hundreds of customers worldwide, and helped them ideate, prioritize, and build bespoke solutions that harness the power of generative AI.

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ODSC - Open Data Science

MARCH 10, 2025

Simultaneously, concerns around ethical AI , bias , and fairness led to more conversations on Responsible AI. Topics such as explainability (XAI) and AI governance gained traction, reflecting the growing societal impact of AI technologies.

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Unite.AI

JANUARY 23, 2024

Prompting Rather than inputs and outputs, LLMs are controlled via prompts – contextual instructions that frame a task. Prompt engineering is crucial to steering LLMs effectively. Responsible AI tooling remains an active area of innovation. LLMs utilize embeddings to understand word context.

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Large Language Models Prompt Engineer Prompt Engineering LLM 100

Unite.AI

OCTOBER 31, 2023

The company is also working on ways to differentiate AI-generated images from those made by humans, reflecting their commitment to transparency and responsible AI use. OpenAI acknowledges these challenges and is working on improvements for future versions. However, a free public release date is not confirmed yet.

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AWS Machine Learning Blog

MARCH 4, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies, such as 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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ODSC - Open Data Science

SEPTEMBER 28, 2023

In the interview, we talked about what confident data science is, how data scientists can confidently and ethically use AI, and emerging fields like prompt engineering. Recently, we spoke with Adam Ross Nelson, data science career coach and author of “How to Become a Data Scientist” and “ Confident Data Science.”

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AWS Machine Learning Blog

APRIL 22, 2024

Figure 5 offers an overview on generative AI modalities and optimization strategies, including prompt engineering , Retrieval Augmented Generation , and fine-tuning or continued pre-training. This balance must account for the assessment of risk in terms of several factors such as quality, disclosures, or reporting.

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AWS Machine Learning Blog

JULY 29, 2024

In this post, we show how native integrations between Salesforce and Amazon Web Services (AWS) enable you to Bring Your Own Large Language Models (BYO LLMs) from your AWS account to power generative artificial intelligence (AI) applications in Salesforce. To learn more and start building, refer to the following resources.

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Marktechpost

APRIL 11, 2024

Additionally, the course covers how to share and run AI applications easily using Gradio and Hugging Face Spaces, making it ideal for those new to the AI field. Prompt Engineering with Llama 2 Discover the art of prompt engineering with Meta’s Llama 2 models.

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AWS Machine Learning Blog

DECEMBER 11, 2024

EBSCOlearning experts and GenAIIC scientists worked together to develop a sophisticated prompt engineering approach using Anthropics Claude 3.5 This module takes in the learning contentwhich could be a video transcript, book summary, or articleand generates an initial set of multiple-choice questions using in-context learning.

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AWS Machine Learning Blog

JULY 11, 2024

Agents for Amazon Bedrock automates the prompt engineering and orchestration of user-requested tasks. After being configured, an agent builds the prompt and augments it with your company-specific information to provide responses back to the user in natural language.

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