AI News

NOVEMBER 15, 2023

As McLoone explains, it is all a question of purpose. “I So you get these fun things where you can say ‘explain why zebras like to eat cacti’ – and it’s doing its plausibility job,” says McLoone. “It It teaches the LLM to recognise the kinds of things that Wolfram|Alpha might know – our knowledge engine,” McLoone explains.

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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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ODSC - Open Data Science

SEPTEMBER 19, 2023

Prompt engineers are responsible for developing and maintaining the code that powers large language models or LLMs for short. But to make this a reality, prompt engineers are needed to help guide large language models to where they need to be. But what exactly is a prompt engineer ?

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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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Unite.AI

JULY 22, 2024

At my company Jotform, we have incorporated AI tools to automate tedious tasks, or as I call it, “busywork,” and free up employees to focus on the meaningful work that only humans can do. And it’s only as effective as the prompts you give it. I recently asked ChatGPT how to develop your prompt engineering skills.

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Towards AI

FEBRUARY 13, 2024

ChatGPT’s advanced language understanding, and generation capacities have not only increased user engagement but also opened new avenues for increased productivity and automation in personal life as well as business problems. Examples: “Explain the solar system. Act as a computer engineer and describe how computers work.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

For now, we consider eight key dimensions of responsible AI: Fairness, explainability, privacy and security, safety, controllability, veracity and robustness, governance, and transparency. If you are planning on using automated model evaluation for toxicity, start by defining what constitutes toxic content for your specific application.

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Artificial Corner

AUGUST 3, 2023

Prompt engineering in under 10 minutes — theory, examples and prompting on autopilot Master the science and art of communicating with AI. Prompt engineering is the process of coming up with the best possible sentence or piece of text to ask LLMs, such as ChatGPT, to get back the best possible response.

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AWS Machine Learning Blog

MARCH 27, 2025

Using highly tuned and custom tailored prompts with examples and techniques discussed in the following sections, support teams can pass the anonymized support case correspondence to Anthropics Claude 3.5 If labeled data is unavailable, the next question is whether the testing process should be automated.

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Marktechpost

MARCH 23, 2025

Traditional prompt engineering techniques fail to deliver consistent results. The two most common approaches are: Iterative prompt engineering, which leads to inconsistent, unpredictable behavior. Ensuring reliable instruction-following in LLMs remains a critical challenge.

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Flipboard

MARCH 12, 2025

These are the best online AI courses you can take for free this month: A Gentle Introduction to Generative AI AI-900: Microsoft Azure AI Fundamentals AI Art Generation Guide: Create AI Images For Free AI Filmmaking AI for Beginners: Learn The Basics of ChatGPT AI for Business and Personal Productivity: A Practical Guide AI for Everyone AI Literacy (..)

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AWS Machine Learning Blog

JUNE 25, 2024

Operational efficiency Uses prompt engineering, reducing the need for extensive fine-tuning when new categories are introduced. Explainability Provides explanations for its predictions through generated text, offering insights into its decision-making process. This provides an automated deployment experience on your AWS account.

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AWS Machine Learning Blog

DECEMBER 5, 2024

For use cases where accuracy is critical, customers need the use of mathematically sound techniques and explainable reasoning to help generate accurate FM responses. Click on the image below to see a demo of Automated Reasoning checks in Amazon Bedrock Guardrails.

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ODSC - Open Data Science

APRIL 11, 2025

Real-Time Delivery of Impressions at Scale Tulika Bhatt, Senior Software Engineer at Netflix Go behind the scenes at Netflix to learn how they deliver 18 billion impressions daily in near real-time. This talk explains the hybrid architecture powering adaptive recommendations, and how they balance performance, scalability, andcost.

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AWS Machine Learning Blog

NOVEMBER 6, 2023

In this post, we explain how to use the power of generative AI to reduce the effort and improve the accuracy of creating call summaries and call dispositions. The good news is that automating and solving the summarization challenge is now possible through generative AI.

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Marktechpost

MAY 3, 2024

With its potential to enhance productivity, foster creativity, and automate tasks, understanding ChatGPT opens up avenues for innovation and problem-solving. Prompt Engineering for ChatGPT This course teaches how to effectively work with large language models, like ChatGPT, by applying prompt engineering.

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AWS Machine Learning Blog

MARCH 21, 2025

However, by using Anthropics Claude on Amazon Bedrock , researchers and engineers can now automate the indexing and tagging of these technical documents. Solution overview This solution demonstrates the transformative potential of multi-modal generative AI when applied to the challenges faced by scientific and engineering communities.

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ODSC - Open Data Science

APRIL 2, 2025

In 2025, artificial intelligence isnt just trendingits transforming how engineering teams build, ship, and scale software. Whether its automating code, enhancing decision-making, or building intelligent applications, AI is rewriting what it means to be a modern engineer. At the heart of this workflow is prompt engineering.

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Snorkel AI

MARCH 26, 2025

AI judges must be scalable yet cost-effective , unbiased yet adaptable , and reliable yet explainable. Justification request : Explain why this response was rated higher. These prompts also typically dictate that the LLM return its results in JSON structure. However, challenges remain. False - The response is noncompliant.

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ODSC - Open Data Science

MARCH 20, 2025

Foundation Models for TimesSeries Here, we explain how this model adapts the standard LLM architecture to time series, and one of the most important components, large time series data sets, and how they are assembled. Register by Friday for 30%off! Leadership OpenAI outlined a comprehensive AI Action Plan to strengthen U.S.

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AI Weekly

SEPTEMBER 7, 2023

forkast.news AI in Legal Practice: A Comprehensive Guide By leveraging advanced technologies such as natural language processing, machine learning, and robotic process automation, law firms realize significant efficiencies that increase profitability while producing faster client outcomes. 27) are South Korea’s local robotics companies.

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IBM Journey to AI blog

OCTOBER 25, 2023

But simultaneously, generative AI has the power to transform the process of application modernization through code reverse engineering, code generation, code conversion from one language to another, defining modernization workflow and other automated processes. Much more can be said about IT operations as a foundation of modernization.

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IBM Journey to AI blog

MARCH 4, 2024

How can you master prompt engineering? When should you prompt-tune or fine-tune? For instance, when automating password change requests, do you need a 175 billion parameter public foundation model, a fine-tuned smaller model, or AI orchestration to call APIs? Do you use gen AI out of the box?

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Unite.AI

SEPTEMBER 19, 2024

These APIs allow companies to integrate natural language understanding, generation, and other AI-driven features into their applications, improving efficiency, enhancing customer experiences, and unlocking new possibilities in automation. Flash $0.00001875 / 1K characters $0.000075 / 1K characters $0.0000375 / 1K characters Gemini 1.5

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AWS Machine Learning Blog

OCTOBER 8, 2024

Sonnet on Amazon Bedrock, we build a digital assistant that automates document processing, identity verifications, and engages customers through conversational interactions. As a result, customers can be onboarded in a matter of minutes through secure, automated workflows. Using Anthropic’s Claude 3.5

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Marktechpost

APRIL 1, 2024

and explains how they work. ChatGPT for Beginners The book explains the fundamentals and the technology behind ChatGPT and its innovative use cases in diverse fields. ChatGPT For Dummies “ChatGPT For Dummies” explains the workings of ChatGPT and how it can be used to our advantage.

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AWS Machine Learning Blog

APRIL 4, 2025

Amazon Nova Micro A text-only model engineered for ultra-low latency. With output speed of up to 195 tokens per second, Amazon Nova Micro is perfect for real-time applications such as chat-based assistants and automated FAQs. The following code examples further explain how to conduct tool calling successfully.

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Unite.AI

SEPTEMBER 3, 2024

Can you explain the motivation behind creating the “Conversation Practice” feature? In your article “ What You Need To Know About Prompt Engineers—And Why You Might Want One ,” you emphasize the critical role of prompt engineers in harnessing the full potential of generative AI tools like ChatGPT and GitHub Copilot.

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ODSC - Open Data Science

SEPTEMBER 27, 2024

Among these are deepfakes and automated prompt engineering , two areas rapidly evolving with the potential to redefine the way we interact with AI. Traditionally, interacting with natural language processing (NLP) models has required manual prompt writing.

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AWS Machine Learning Blog

MARCH 14, 2025

Although automated metrics are fast and cost-effective, they can only evaluate the correctness of an AI response, without capturing other evaluation dimensions or providing explanations of why an answer is problematic. Now that weve explained the key features, we examine how these capabilities come together in a practical implementation.

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ODSC - Open Data Science

MARCH 24, 2025

While it is automating certain repetitive tasks, it is not replacing the fundamental need for human judgment, business acumen, and analytical thinking. Gary explained that this shift inverts the traditional analytics pyramid. Entry-level data analyst roleshistorically focused on data wrangling and report generationare being automated.

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AWS Machine Learning Blog

SEPTEMBER 5, 2024

As generative artificial intelligence (AI) continues to revolutionize every industry, the importance of effective prompt optimization through prompt engineering techniques has become key to efficiently balancing the quality of outputs, response time, and costs. The prompt is better if containing examples. -

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Unite.AI

JUNE 11, 2024

Automate Processes Automation is one of AI’s greatest capabilities. They can use AI automation to review past logs, making identifying cybercrime, network breaches and data leaks more manageable. The “black box” problem — where algorithms can’t explain their decision-making process — is the most pressing.

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John Snow Labs

SEPTEMBER 26, 2024

This presentation introduces an advanced tool designed to automate key aspects of the literature review process. Advanced prompt engineering to refine criteria for paper inclusion and exclusion. Traceability and explainability features to ensure transparency and accountability in the results.

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ODSC - Open Data Science

MARCH 10, 2025

Topics such as explainability (XAI) and AI governance gained traction, reflecting the growing societal impact of AI technologies. The release of GPT-4 and other advanced LLMs sparked a surge in research on fine-tuning, prompt engineering, and the use of LLMs in real-world applications. Whats Next for DataScience?

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Marktechpost

JULY 10, 2023

Theoretical analyses have explored whether creativity can be automated, while critical reviews have looked at the broader social and cultural implications of text-to-image art. Studies have shown that text-to-image art may be perceived as less creative than human-generated art but still shows signs of creativity.

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ODSC - Open Data Science

AUGUST 24, 2023

5 Jobs That Will Use Prompt Engineering in 2023 Whether you’re looking for a new career or to enhance your current path, these jobs that use prompt engineering will become desirable in 2023 and beyond. That’s why enriching your analysis with trusted, fit-for-use, third-party data is key to ensuring long-term success.

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