AI News

MARCH 7, 2024

Anthropic, creators of Claude, released Claude 3 this week and claimed it to be a ‘new standard for intelligence’ , surging ahead of competitors such as ChatGPT and Google’s Gemini. Stability AI, in previewing Stable Diffusion 3, noted that the company believed in safe, responsible AI practices.

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ODSC - Open Data Science

AUGUST 29, 2023

With that said, companies are now realizing that to bring out the full potential of AI, prompt engineering is a must. So we have to ask, what kind of job now and in the future will use prompt engineering as part of its core skill set?

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ODSC - Open Data Science

OCTOBER 3, 2023

Who hasn’t seen the news surrounding one of the latest jobs created by AI, that of prompt engineering ? If you’re unfamiliar, a prompt engineer is a specialist who can do everything from designing to fine-tuning prompts for AI models, thus making them more efficient and accurate in generating human-like text.

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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. appeared first on MarkTechPost.

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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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IBM Journey to AI blog

MARCH 4, 2024

We have all been witnessing the transformative power of generative artificial intelligence (AI), with the promise to reshape all aspects of human society and commerce while companies simultaneously grapple with acute business imperatives. Do you use gen AI out of the box? How can you master prompt engineering?

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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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Unite.AI

SEPTEMBER 7, 2023

In artificial intelligence (AI), the power and potential of Large Language Models (LLMs) are undeniable, especially after OpenAI’s groundbreaking releases such as ChatGPT and GPT-4. Solution Establishing predefined guidelines for prompt usage and refining prompt engineering techniques can help curtail this LLM vulnerability.

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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

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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Towards AI

JANUARY 6, 2025

TOP 20 AI CERTIFICATIONS TO ENROLL IN 2025 Ramp up your AI career with the most trusted AI certification programs and the latest artificial intelligence skills. AGI would mean AI can think, learn, and work just like a human, an incredible leap in artificial intelligence technology.

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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. Based in the San Francisco Bay Area, he enjoys playing tennis and gardening in his free time.

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ODSC - Open Data Science

MARCH 10, 2025

Over the past decade, data science has undergone a remarkable evolution, driven by rapid advancements in machine learning, artificial intelligence, and big data technologies. Simultaneously, concerns around ethical AI , bias , and fairness led to more conversations on Responsible AI.

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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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AWS Machine Learning Blog

MAY 13, 2024

This is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API. It can be achieved through the use of proper guided prompts.

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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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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 Visit Generative AI Innovation Center to learn more about our program. About the authors Yasin Khatami is a Senior Applied Scientist at the Generative AI Innovation Center.

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AWS Machine Learning Blog

MARCH 6, 2025

In the rapidly evolving landscape of artificial intelligence, Retrieval Augmented Generation (RAG) has emerged as a game-changer, revolutionizing how Foundation Models (FMs) interact with organization-specific data. You also define a prompt template following Claude prompt engineering guidelines.

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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

JUNE 25, 2024

Amazon Bedrock , a fully managed service designed to facilitate the integration of LLMs into enterprise applications, offers a choice of high-performing LLMs from leading artificial intelligence (AI) companies like Anthropic, Mistral AI, Meta, and Amazon through a single API.

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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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AWS Machine Learning Blog

APRIL 22, 2024

This post serves as a starting point for any executive seeking to navigate the intersection of generative artificial intelligence (generative AI) and sustainability. Striking the right balance between innovation and the responsible use of generative AI is fundamental for mitigating risks and enabling responsible AI innovation.

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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

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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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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Towards AI

OCTOBER 19, 2024

Originally published on Towards AI. Why We’re Demanding Answers from Our Smartest Machines Image generated by Gemini AI Artificial intelligence is making decisions that impact our lives in profound ways, from loan approvals to medical diagnoses. Author(s): Paul Ferguson, Ph.D.

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AWS Machine Learning Blog

MAY 21, 2024

As 20 Minutes’s technology team, we’re responsible for developing and operating the organization’s web and mobile offerings and driving innovative technology initiatives. This blog post outlines various use cases where we’re using generative AI to address digital publishing challenges.

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ODSC - Open Data Science

JUNE 27, 2023

Who Are AI Builders, AI Users, and Other Key Players? AI Builders AI builders are the data scientists, data engineers, and developers who design AI models. The goals and priorities of responsible AI builders are to design trustworthy, explainable, and human-centered 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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ODSC - Open Data Science

JULY 3, 2023

If you don’t know, LLMs are a type of artificial intelligence that is trained on massive amounts of text data. PaLM 2 also demonstrates robust reasoning capabilities and stable performance on a suite of responsible AI evaluations. We’re hearing a lot about large language models, or LLMs recently in the news.

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AWS Machine Learning Blog

JULY 31, 2024

As generative artificial intelligence (AI) applications become more prevalent, maintaining responsible AI principles becomes essential. He holds passion about meta-agents, scalable on-demand inference, advanced RAG solutions and cost optimized prompt engineering with LLMs.

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ODSC - Open Data Science

OCTOBER 5, 2023

The Prompt Optimization Stack A lot goes into successful prompt engineering. However, with this thorough prompt optimization guide, you’ll know exactly how to perfect this new art. Organizations harness these LLMs through prompt engineering and fine-tuning, but challenges persist.

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AWS Machine Learning Blog

AUGUST 21, 2024

The latest advances in generative artificial intelligence (AI) allow for new automated approaches to effectively analyze large volumes of customer feedback and distill the key themes and highlights. Our example prompt requests the FM to generate the response in JSON format.

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AWS Machine Learning Blog

FEBRUARY 1, 2024

Make sure to validate prompt input data and prompt input size for allocated character limits that are defined by your model. If you’re performing prompt engineering, you should persist your prompts to a reliable data store.

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