Pickl AI

NOVEMBER 6, 2024

Summary : Prompt engineering is a crucial practice in Artificial Intelligence that involves designing specific prompts to guide Generative AI models. This discipline is essential for optimising human-AI interactions. This discipline is essential for optimising human-AI interactions.

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Unite.AI

AUGUST 1, 2023

OpenAI has been instrumental in developing revolutionary tools like the OpenAI Gym, designed for training reinforcement algorithms, and GPT-n models. The spotlight is also on DALL-E, an AI model that crafts images from textual inputs. Generative models like GPT-4 can produce new data based on existing inputs.

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Unite.AI

SEPTEMBER 27, 2023

Generative AI refers to models that can generate new data samples that are similar to the input data. The success of ChatGPT opened many opportunities across industries, inspiring enterprises to design their own large language models. The finance sector, driven by data, is now even more data-intensive than ever.

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AWS Machine Learning Blog

AUGUST 2, 2024

This blog is part of the series, Generative AI and AI/ML in Capital Markets and Financial Services. Traditionally, earnings call scripts have followed similar templates, making it a repeatable task to generate them from scratch each time. In the following sections, we discuss the workflows of each method in more detail.

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IBM Journey to AI blog

FEBRUARY 13, 2024

Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating. Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.”

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Marktechpost

AUGUST 30, 2024

It is difficult to develop and maintain high-performing AI applications in today’s quickly evolving field of artificial intelligence. The need for more efficient prompts for Generative AI (GenAI) models is one of the most significant challenges facing developers and businesses.

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Towards AI

APRIL 10, 2023

Photo by Unsplash.com The launch of ChatGPT has sparked significant interest in generative AI, and people are becoming more familiar with the ins and outs of large language models. It’s worth noting that prompt engineering plays a critical role in the success of training such models.

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ODSC - Open Data Science

AUGUST 29, 2023

Since OpenAI’s ChatGPT kicked down the door and brought large language models into the public imagination, being able to fully utilize these AI models has quickly become a much sought-after skill. With that said, companies are now realizing that to bring out the full potential of AI, prompt engineering is a must.

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Heartbeat

APRIL 10, 2023

It is able to write different believable phishing messages and even generate malicious code blocks, sometimes producing output that amounted to exploitation, as well as often well-intentioned results. At this point, a new concept emerged: “Prompt Engineering.” What is Prompt Engineering?

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Prompt Engineer Prompt Engineering OpenAI ChatGPT 83

Flipboard

MAY 19, 2023

Prompt engineering fine-tunes text for AI models, aiding marketers in content creation.• Utilizing AI. Effective prompt … The Gist Basics mastered.

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ODSC - Open Data Science

SEPTEMBER 19, 2024

The Rise of Deepfakes and Automated Prompt Engineering: Navigating the Future of AI In this podcast recap with Dr. Julie Wall of the University of West London, we discuss two big topics in generative AI: deepfakes and automated prompted engineering. How can big data analytics help?

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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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Prompt Engineer Prompt Engineering LLM Data Science 52

AI News

NOVEMBER 13, 2024

Participants learn the basics of AI, strategies for aligning their career paths with AI advancements, and how to use AI responsibly. The course is ideal for individuals at any career stage who wish to understand AI’s impact on the job market and adapt proactively.

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IBM Journey to AI blog

MAY 13, 2024

This blog series demystifies enterprise generative AI (gen AI) for business and technology leaders. It provides simple frameworks and guiding principles for your transformative artificial intelligence (AI) journey. Different models can have varied implications for fairness, privacy and compliance.

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Generative AI AI AI Prompt Engineer 245

Towards AI

FEBRUARY 9, 2023

This raises the importance of the question; how do we talk to models such as ChatGPT and how do we get the most out of them? This is prompt engineering. Participants do not need a technical background and will be challenged to hack several progressively more secure prompts. What is Prompting?

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AssemblyAI

MAY 2, 2023

The term “Generative AI” has appeared as if out of thin air over the past few months. This interest can be attributed to the release of Generative models like DALL-E 2 , Imagen , and ChatGPT. But what does “Generative AI” actually mean? What is Generative AI?

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Marktechpost

JULY 4, 2023

One of the key advantages of large language models is that they can quickly produce good-quality text conveniently and at scale. What is prompt engineering? Talking specifically about GPT-3, it is the closest model that has reached how a human being thinks and converses. Prompt is the text fed to the Large Language Model.

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Towards AI

FEBRUARY 9, 2023

This raises the importance of the question; how do we talk to models such as ChatGPT and how do we get the most out of them? This is prompt engineering. Participants do not need a technical background and will be challenged to hack several progressively more secure prompts. What is Prompting?

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Prompt Engineer Prompt Engineering Large Language Models Machine Learning 84

AWS Machine Learning Blog

NOVEMBER 15, 2023

Prompt engineering has become an essential skill for anyone working with large language models (LLMs) to generate high-quality and relevant texts. Although text prompt engineering has been widely discussed, visual prompt engineering is an emerging field that requires attention.

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ODSC - Open Data Science

NOVEMBER 20, 2024

The discussion covered diverse and valuable insights on the application of generative AI in business, emphasizing the importance of critical thinking to harness its full potential. Yves Mulkers pointed out that, despite AI’s advancements, critical thinking and creativity remain at the forefront of AI implementation.

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Analytics Vidhya

SEPTEMBER 27, 2023

In this article, […] The post Mastering Sentiment Analysis through Generative AI appeared first on Analytics Vidhya. This categorization helps companies tailor their responses and strategies to enhance customer satisfaction.

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Marktechpost

NOVEMBER 16, 2024

In recent years, generative AI has surged in popularity, transforming fields like text generation, image creation, and code development. Learning generative AI is crucial for staying competitive and leveraging the technology’s potential to innovate and improve efficiency.

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IBM Journey to AI blog

SEPTEMBER 28, 2023

According to a recent IBV study , 64% of surveyed CEOs face pressure to accelerate adoption of generative AI, and 60% lack a consistent, enterprise-wide method for implementing it. These enhancements have been guided by IBM’s fundamental strategic considerations that AI should be open, trusted, targeted and empowering.

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AssemblyAI

MARCH 18, 2024

As businesses integrate this generative AI technology, they also unlock opportunities to enhance operations, improve the customer journey, and drive innovative product development.    In this article, you’ll learn more about building with LLMs and the top business use cases for Generative AI tools and applications. 

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IBM Journey to AI blog

OCTOBER 25, 2023

Implementing generative AI can seem like a chicken-and-egg conundrum. In a recent IBM Institute for Business Value survey, 64% of CEOs said they needed to modernize apps before they could use generative AI. From our perspective, the debate over architecture is over.

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AWS Machine Learning Blog

MARCH 14, 2024

Generative AI applications driven by foundational models (FMs) are enabling organizations with significant business value in customer experience, productivity, process optimization, and innovations. In this post, we explore different approaches you can take when building applications that use generative AI.

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Mlearning.ai

JULY 11, 2023

Photo by Mojahid Mottakin on Unsplash Generative AI, ChatGPT and Prompt Engineering The recent surge in apps harnessing the power of generative AI has been mind-blowing. One popular example of generative AI is ChatGPT, a language model developed by OpenAI.

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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. A roadmap to generative AI for sustainability In the sections that follow, we provide a roadmap for integrating generative AI into sustainability initiatives 1.

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AWS Machine Learning Blog

NOVEMBER 7, 2024

While organizations continue to discover the powerful applications of generative AI , adoption is often slowed down by team silos and bespoke workflows. To move faster, enterprises need robust operating models and a holistic approach that simplifies the generative AI lifecycle.

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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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Prompt Engineer Prompt Engineering LLM Data Scientist 52

AWS Machine Learning Blog

FEBRUARY 1, 2024

Resilience plays a pivotal role in the development of any workload, and generative AI workloads are no different. There are unique considerations when engineering generative AI workloads through a resilience lens. If you’re performing prompt engineering, you should persist your prompts to a reliable data store.

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Unite.AI

SEPTEMBER 30, 2024

But within the cybersecurity industry specifically, the excitement around Generative AI (genAI) is still justified; it just might take longer than investors and analysts anticipated to change the sector entirely. But that's not quite the case. Here’s what I mean.

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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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Flipboard

NOVEMBER 15, 2024

Generating metadata for your data assets is often a time-consuming and manual task. Generative AI models LLMs are trained on vast volumes of data and use billions of parameters to generate outputs for common tasks like answering questions, translating languages, and completing sentences.

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Marktechpost

JUNE 19, 2024

In recent years, generative AI has surged in popularity, transforming fields like text generation, image creation, and code development. Learning generative AI is crucial for staying competitive and leveraging the technology’s potential to innovate and improve efficiency.

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AWS Machine Learning Blog

AUGUST 22, 2024

At the forefront of harnessing cutting-edge technologies in the insurance sector such as generative artificial intelligence (AI), Verisk is committed to enhancing its clients’ operational efficiencies, productivity, and profitability. Discovery Navigator recently released automated generative AI record summarization capabilities.

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ODSC - Open Data Science

SEPTEMBER 20, 2023

Using Graphs for Feature Engineering, Prompt Fine-Tuning for Generative AI, and Confident Data Science GraphReduce: Using Graphs for Feature Engineering Abstractions This tutorial demonstrates an example feature engineering process on an e-commerce schema and how GraphReduce deals with the complexity of feature engineering on the relational schema.

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