Marktechpost

JUNE 21, 2024

In this article we will explain a number of sophisticated prompt engineering strategies, simplifying these difficult ideas through straightforward human metaphors. Graph of Thoughts (GoT) Graph of Thoughts models data as an arbitrary graph to enhance prompting capabilities. Examples include CoVe and Self-Consistency.

Prompt Engineer 109

Prompt Engineer Prompt Engineering Explainability Large Language Models 109

AI News

NOVEMBER 15, 2023

The truth is, however, that such hallucinations are an inevitability when dealing with LLMs. 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 doesn’t have to be right.”

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Generative AI LLM Big Data Explainability 322

Snorkel AI

MARCH 26, 2025

LLM-as-Judge has emerged as a powerful tool for evaluating and validating the outputs of generative models. AI judges must be scalable yet cost-effective , unbiased yet adaptable , and reliable yet explainable. AI judges must be scalable yet cost-effective , unbiased yet adaptable , and reliable yet explainable. Lets dive in.

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LLM Data Scientist Prompt Engineering Prompt Engineer 52

AWS Machine Learning Blog

AUGUST 2, 2024

The initial draft of a large language model (LLM) generated earnings call script can be then refined and customized using feedback from the company’s executives. Amazon Bedrock offers a straightforward way to build and scale generative AI applications with foundation models (FMs) and LLMs.

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Prompt Engineer Prompt Engineering LLM Generative AI 131

Towards AI

MAY 30, 2024

The Verbal Revolution: Unlocking Prompt Engineering with Langchain Peter Thiel, the visionary entrepreneur and investor, mentioned in a recent interview that the post-AI society may favour strong verbal skills over math skills. Buckle up, and let’s dive into the fascinating world of prompt engineering with Langchain!

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Prompt Engineer Prompt Engineering LLM Neural Network 105

Towards AI

NOVEMBER 7, 2024

P.S. We will soon release an extremely in-depth ~90-lesson practical full stack “LLM Developer” conversion course. CCoE: Approach to Mastering Multiple Domains with LLMs By Manpreet Singh This article explores a framework called Collaboration of Experts (CCoE) that addresses the limitations of current LLMs in specialized domains.

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Black Box AI Machine Learning Prompt Engineering Prompt Engineer 115

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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Prompt Engineer Prompt Engineering Large Language Models Software Engineer 98

Marktechpost

MARCH 23, 2025

Ensuring reliable instruction-following in LLMs remains a critical challenge. Traditional prompt engineering techniques fail to deliver consistent results. Traditional approaches to developing conversational LLM applications often fail in real-world use cases. You can find our research paper on ARQs vs. CoT on parlant.io

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Prompt Engineering Prompt Engineer LLM Explainability 87

Marktechpost

JULY 4, 2023

For the unaware, ChatGPT is a large language model (LLM) trained by OpenAI to respond to different questions and generate information on an extensive range of topics. What is prompt engineering? For developing any GPT-3 application, it is important to have a proper training prompt along with its design and content.

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Prompt Engineer Prompt Engineering Artificial Intelligence Artificial Intelligence 113

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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Prompt Engineer Prompt Engineering Large Language Models Data Science 97

AWS Machine Learning Blog

FEBRUARY 21, 2025

Fine-tuning a pre-trained large language model (LLM) allows users to customize the model to perform better on domain-specific tasks or align more closely with human preferences. You can use supervised fine-tuning (SFT) and instruction tuning to train the LLM to perform better on specific tasks using human-annotated datasets and instructions.

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LLM AI AI Data Scientist 90

Towards AI

JANUARY 21, 2025

For the past two years, ChatGPT and Large Language Models (LLMs) in general have been the big thing in artificial intelligence. Many articles about how-to-use, prompt engineering and the logic behind have been published. These tokens are known to the LLM and will be represented by an internal number for further processing.

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Algorithm ChatGPT Large Language Models Neural Network 105

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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Prompt Engineer Prompt Engineering Large Language Models Natural Language Processing 98

Unite.AI

JULY 22, 2024

And it’s only as effective as the prompts you give it. I recently asked ChatGPT how to develop your prompt engineering skills. The first response was: “Experimentation and Iteration: Continuously experiment with different types of prompts and refine them based on the AI's outputs.

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ChatGPT Prompt Engineering Prompt Engineer Explainability 274

Towards AI

FEBRUARY 13, 2024

Leading this revolution is ChatGPT, a state-of-the-art large language model (LLM) developed by OpenAI. Understanding Prompt Engineering At the heart of effectively leveraging ChatGPT lies ‘prompt engineering’ — a crucial skill that involves crafting specific inputs or prompts to guide the AI in producing the desired outputs.

Prompt Engineer 105

Prompt Engineer Prompt Engineering ChatGPT Large Language Models 105

AWS Machine Learning Blog

FEBRUARY 27, 2025

In our previous blog posts, we explored various techniques such as fine-tuning large language models (LLMs), prompt engineering, and Retrieval Augmented Generation (RAG) using Amazon Bedrock to generate impressions from the findings section in radiology reports using generative AI. Part 1 focused on model fine-tuning.

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LLM Generative AI AI AI 80

AWS Machine Learning Blog

MARCH 27, 2025

Checking LLM accuracy for ground truth data To evaluate an LLM for the task of category labeling, the process begins by determining if labeled data is available. When automation is preferred, using another LLM to assess outputs can be effective. However, the precision of this method depends on the reliability of the chosen LLM.

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Categorization ETL Prompt Engineer Prompt Engineering 110

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.

Prompt Engineer 98

Prompt Engineer Prompt Engineering Large Language Models Explainability 98

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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Prompt Engineer Prompt Engineering Computer Vision Machine Learning 115

AI News

SEPTEMBER 27, 2024

One of Databricks’ notable achievements is the DBRX model, which set a new standard for open large language models (LLMs). “Upon release, DBRX outperformed all other leading open models on standard benchmarks and has up to 2x faster inference than models like Llama2-70B,” Everts explains. “It

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Large Language Models Big Data Explainability ETL 306

Snorkel AI

MARCH 4, 2025

Misaligned LLMs can generate harmful, unhelpful, or downright nonsensical responsesposing risks to both users and organizations. This is where LLM alignment techniques come in. LLM alignment techniques come in three major varieties: Prompt engineering that explicitly tells the model how to behave.

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LLM Large Language Models Data Quality Prompt Engineering 52

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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Prompt Engineering Prompt Engineer OpenAI Large Language Models 335

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. You can now use an LLM-as-a-judge (in preview) for model evaluations to perform tests and evaluate other models with human-like quality on your dataset.

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Responsible AI AI Tools AI AI 108

AWS Machine Learning Blog

MARCH 6, 2025

LlamaIndex is a framework for building LLM applications. It simplifies data integration from various sources and provides tools for data indexing, engines, agents, and application integrations. Optimized for search and retrieval, it streamlines querying LLMs and retrieving documents.

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LLM Generative AI ML Prompt Engineering 115

Unite.AI

FEBRUARY 4, 2025

As we enter the second wave of generative AI productization, companies are realizing that successfully implementing these technologies requires more than simply connecting an LLM to their data. This means ensuring that AI agents provide transparent, explainable, and traceable responses.

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Prompt Engineering Prompt Engineer AI AI 189

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. For example, you can ask the model to explain why it used certain information and created a certain output.

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Responsible AI Prompt Engineer Prompt Engineering AI 111

ODSC - Open Data Science

APRIL 11, 2025

From real-time AI applications and storytelling with data, to deploying your own LLM-powered tools, this years beginner sessions promise actionable insights and hands-on learning to jumpstart your AIjourney. This talk explains the hybrid architecture powering adaptive recommendations, and how they balance performance, scalability, andcost.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Software Engineer Data Scientist 52

ODSC - Open Data Science

APRIL 2, 2025

Whether an engineer is cleaning a dataset, building a recommendation engine, or troubleshooting LLM behavior, these cognitive skills form the bedrock of effective AI development. Engineers who can visualize data, explain outputs, and align their work with business objectives are consistently more valuable to theirteams.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Large Language Models ML Engineer 52

Marktechpost

AUGUST 1, 2024

The primary issue addressed in the paper is the need for formal analysis and structured design principles for LLM-based algorithms. This approach is inefficient and lacks a theoretical foundation, making it difficult to optimize and accurately predict the performance of LLM-based algorithms.

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Algorithm LLM Machine Learning Prompt Engineering 123

Explosion

MAY 17, 2023

In 2014 I started working on spaCy , and here’s an excerpt of how I explained the motivation for the library: Computers don’t understand text. I don’t want to undersell how impactful LLMs are for this sort of use-case. You can give an LLM a group of comments and ask it to summarize the texts or identify key themes.

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LLM NLP Large Language Models OpenAI 135

TheSequence

DECEMBER 8, 2023

In this post, Jordan Burgess, co-founder and Chief Product Officer at Humanloop , discusses the techniques for going from an initial demo to a robust production-ready application and explain how tools like Humanloop can help you get there. He covers best practices in prompt engineering, retrieval-augmented generation (RAG) and fine-tuning.

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LLM Prompt Engineer Prompt Engineering OpenAI 97

AWS Machine Learning Blog

JULY 24, 2024

Large language models (LLMs) have achieved remarkable success in various natural language processing (NLP) tasks, but they may not always generalize well to specific domains or tasks. You may need to customize an LLM to adapt to your unique use case, improving its performance on your specific dataset or task.

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LLM ML Generative AI Machine Learning 129

Artificial Corner

JULY 30, 2023

In this world of complex terminologies, someone who wants to explain Large Language Models (LLMs) to some non-tech guy is a difficult task. So that’s why I tried in this article to explain LLM in simple or to say general language. No need to train the LLM but one only has to think about Prompt design.

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Large Language Models LLM Natural Language Processing Deep Learning 98

Unite.AI

NOVEMBER 3, 2023

Introduction Prompt engineering focuses on devising effective prompts to guide Large Language Models (LLMs) such as GPT-4 in generating desired responses. A well-crafted prompt can be the difference between a vague or inaccurate answer and a precise, insightful one.

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Prompt Engineering Prompt Engineer Large Language Models LLM 144

Towards AI

JULY 27, 2024

Claude AI is an LLM based on the powerful transformer architecture and like OpenAI’s ChatGPT, it can generate text, translate languages, as well as write different kinds of compelling content. This means it can explain the reasoning and decision-making process behind all of its responses. But they are designed for various purposes.

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ChatGPT Prompt Engineer Prompt Engineering Explainability 119

Marktechpost

JANUARY 16, 2025

This limitation raises an important question: how can we effectively evaluate LLM behavior with only black-box access? Technical Details and Benefits of QueRE QueRE operates by constructing feature vectors derived from elicitation questions posed to the LLM. or Can you explain your answer?

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LLM Natural Language Processing Prompt Engineering Prompt Engineer 107

IBM Journey to AI blog

SEPTEMBER 28, 2023

Through prompt engineering and tuning techniques underway, clients can responsibly use their own enterprise data to achieve greater accuracy in the model outputs, to create a competitive edge. The latest open-source LLM model we added this month includes Meta’s 70 billion parameter model Llama 2-chat inside the watsonx.ai

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Generative AI Large Language Models AI AI 248