ODSC - Open Data Science

APRIL 2, 2025

Led by thought leaders like Sheamus McGovern, Founder of ODSC and Head of AI at Cortical Ventures, alongside Ali Hesham, a skilled Data Engineer from Ralabs, this bootcamp isnt just another courseits a launchpad for technical teams ready to take AI adoption seriously. Watch the full webinar of this topic on-demand here on Ai+ Training!

Prompt Engineering 52

Prompt Engineering Prompt Engineer Large Language Models ML Engineer 52

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!

ETL 52

ETL Prompt Engineering Prompt Engineer Data Science 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

AI News

SEPTEMBER 27, 2024

” Generative AI patterns: “Supports prompt engineering, retrieval augmented generation (RAG), fine-tuning, and pre-training, offering flexibility as business needs evolve.” Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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Large Language Models Big Data Explainability ETL 308

Marktechpost

AUGUST 10, 2024

Despite this, LLMs’ use in requirement engineering has gradually increased, driven by advancements in contextual analysis and reasoning through prompt engineering and Chain-of-Thought techniques. The field of LLM-based agents lacks standardized benchmarks, impeding effective performance evaluation.

Software Engineer 113

Software Engineer LLM Large Language Models Categorization 113

TheSequence

FEBRUARY 9, 2024

We've talked about tuning, and we've talked about prompt engineering, but those are not the only techniques at our disposal to optimize LLMs.

LLM 52

LLM Prompt Engineering Prompt Engineer 52

TheSequence

JANUARY 29, 2024

We've talked about tuning, and we've talked about prompt engineering, but those are not the only techniques at our disposal to optimize LLMs.

LLM 52

LLM Prompt Engineering Prompt Engineer 52

ODSC - Open Data Science

DECEMBER 21, 2023

Your Guide to Starting With RAG for LLM-Powered Applications In this post, we take a closer look at how RAG has emerged as the ideal starting point when it comes to designing enterprise LLM-powered applications. RAG vs Finetuning — Which Is the Best Tool to Boost Your LLM Application? Grab your tickets for 70% off by Friday!

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LLM Data Science Prompt Engineering Prompt Engineer 98

Marktechpost

JANUARY 8, 2025

Traditional test case generation approaches rely on rule-based systems or manual engineering of prompts for Large Language Models (LLMs). Most researchers use manual methods to optimize prompt engineering for test case generation, which requires significant time investment.

Automation 84

Automation LLM Prompt Engineering Prompt Engineer 84

ODSC - Open Data Science

MARCH 13, 2025

The Best Lightweight LLMs of 2025: Efficiency Meets Performance Together in this blog, were going to explore what makes an LLM lightweight, the top models in 2025, and how to choose the right one for yourneeds. Register ASAP for 30%off!

Data Science 52

Data Science Prompt Engineering Prompt Engineer ML 52

AWS Machine Learning Blog

MARCH 20, 2025

Additionally, large language model (LLM)-based analysis is applied to derive further insights, such as video summaries and classifications. These analytics are implemented with either Amazon Comprehend , or separate prompt engineering with FMs. Finally, the data is stored in a database for downstream applications to consume.

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Automation IDP Generative AI Prompt Engineering 105

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?

Prompt Engineering 52

Prompt Engineering Prompt Engineer LLM Data Scientist 52

Marktechpost

AUGUST 2, 2024

Researchers from the Department of Excellence in Robotics and AI at Scuola Superiore Sant’Anna and Mediavoice Srl analyzed how output length affects LLM inference time. They introduced a refined prompt engineering strategy, Constrained-Chain-of-Thought (CCoT), which limits output length to improve accuracy and response time.

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Large Language Models Prompt Engineer Prompt Engineering LLM 113

TheSequence

JULY 3, 2023

Is prompt engineering alone sufficient to achieve the desired accuracy? Under what circumstances does training your own LLM lead to more stable outputs? Join us on July 11th at 2:00 PM ET for a live webinar where we'll showcase when to train and when to use an LLM out-of-the-box. SAVE YOUR SEAT

Prompt Engineering 52

Prompt Engineering Prompt Engineer LLM 52

Flipboard

DECEMBER 6, 2023

The following are some of the experiments that were conducted by the team, along with the challenges identified and lessons learned: Pre-training – Q4 understood the complexity and challenges that come with pre-training an LLM using its own dataset. The context is finally used to augment the input prompt for a summarization step.

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Chatbots LLM Prompt Engineering Prompt Engineer 168

Marktechpost

JULY 22, 2024

This method utilizes capable LLMs, like the GPT family, to produce high-quality synthetic data. Recent research has highlighted LLMs’ ability to rephrase and boost synthetic data for effective SFT, suggesting continued growth in synthetic data use for improving LLM performance and alignment.

AI Research 122

AI Research AI Researcher Data Scarcity Prompt Engineer 122

Marktechpost

JULY 22, 2024

Current approaches to leveraging LLMs in VLN tasks include zero-shot methods, where LLMs are prompted with textual descriptions of the navigation environment, and fine-tuning methods, where LLMs are trained on instruction-trajectory pairs. If you like our work, you will love our newsletter.

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LLM Prompt Engineer Prompt Engineering Large Language Models 109

Marktechpost

DECEMBER 8, 2024

Below are six ways discussed to prevent hallucinations in LLMs: Use High-Quality Data The use of high-quality data is one simple-to-do thing. The data that trains an LLM serves as its primary knowledge base, and any shortcomings in this dataset can directly lead to flawed outputs. If you like our work, you will love our newsletter.

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Prompt Engineering Prompt Engineer Large Language Models LLM 113

Marktechpost

AUGUST 3, 2024

has taken a significant leap in the field of Prompt Engineering, recognizing its critical role in their operations. This level of detail is necessitated by the sheer volume of prompts they generate daily—billions—and the need to maximize the potential of expanding LLM context windows. Character.AI

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Python Prompt Engineering Prompt Engineer Large Language Models 120

Marktechpost

AUGUST 31, 2024

This approach aims to balance latency and interpretability by combining a small classification model, specifically a small language model (SLM), with a downstream LLM module called a “constrained reasoner.” ” The SLM performs initial hallucination detection, while the LLM module explains the detected hallucinations.

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Large Language Models Categorization LLM Explainability 128

Marktechpost

NOVEMBER 18, 2024

This limits the accessibility of LLMs to smaller organizations, degrades the user experience in real-time applications, and risks misinformation or errors in critical domains like healthcare and finance. Addressing these obstacles is essential for broader adoption and trust in LLM-powered solutions.

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Prompt Engineer Prompt Engineering OpenAI LLM 90

ODSC - Open Data Science

AUGUST 24, 2023

Accelerating Decisions with Third-Party Data in Financial Services On-Demand Webinar Your ability to make confident decisions based on relevant factors relies on accurate data filled with context. In addition, we’ll discuss a variety of tools that form the modern LLM application development stack.

Prompt Engineering 52

Prompt Engineering Prompt Engineer Data Science NLP 52

ODSC - Open Data Science

FEBRUARY 1, 2024

Datasets for Fine-Tuning Large Language Models, Prompt Engineering Use Cases, and How to Ace the Data Science Interview 10 Datasets for Fine-Tuning Large Language Models In this blog post, we will explore ten valuable datasets that can assist you in fine-tuning or training your LLM. It’s entirely up to you!

Prompt Engineering 52

Prompt Engineering Prompt Engineer Large Language Models Data Science 52

Marktechpost

NOVEMBER 14, 2024

However, a significant challenge persists in developing open-source code LLMs, as their performance consistently lags behind state-of-the-art models. This performance gap primarily stems from the proprietary training datasets used by leading LLM providers, who maintain strict control over these crucial resources.

LLM 92

LLM Large Language Models Algorithm Software Engineer 92

Marktechpost

JULY 21, 2024

Large language models (LLMs) have revolutionized the field of artificial intelligence, enabling the creation of language agents capable of autonomously solving complex tasks. The current approach involves manually decomposing tasks into LLM pipelines, with prompts and tools stacked together. Researchers from AIWaves Inc.

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Artificial Intelligence Artificial Intelligence Neural Network Large Language Models 113

ODSC - Open Data Science

SEPTEMBER 20, 2023

Adam Ross Nelson on Confident Data Science In this interview, we talk about what confident data science is, how data scientists can confidently and ethically use AI, and emerging fields like prompt engineering. This webinar will equip you with the knowledge and strategies to make Generative AI a success within your organization.

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Generative AI Prompt Engineering Prompt Engineer Data Science 98

ODSC - Open Data Science

OCTOBER 3, 2024

Best Practices for Prompt Engineering in Claude, Mistral, and Llama Every LLM is a bit different, so the best practices for each may differ from one another. Got an LLM That Needs Some Work? Here’s a guide on how to use three popular ones: Llama, Mistral AI, and Claude.

Prompt Engineering 40

Prompt Engineering Prompt Engineer LLM Data Science 40

TheSequence

SEPTEMBER 29, 2023

In this guest post, Vikram Chatterji, CEO and co-founder of Galileo, introduces us to their LLM Studio. You can learn more about Galileo LLM Studio through their webinar on Oct 4. With large language models (LLMs) increasing in size and popularity we, as a data science community, have seen new needs emerge.

LLM 59

LLM Prompt Engineering Prompt Engineer NLP 59

AWS Machine Learning Blog

FEBRUARY 12, 2025

For a demonstration on how you can use a RAG evaluation framework in Amazon Bedrock to compute RAG quality metrics, refer to New RAG evaluation and LLM-as-a-judge capabilities in Amazon Bedrock. For more information on application security, refer to Safeguard a generative AI travel agent with prompt engineering and Amazon Bedrock Guardrails.

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Auto-classification Metadata Generative AI Machine Learning 82

Marktechpost

AUGUST 5, 2024

In contrast, the emerging technique focuses on optimizing input prompts for LLMs in a discrete natural language space. This shift raises a compelling question: Can a pretrained LLM function as a system parameterized by its natural language prompt, analogous to how neural networks are parameterized by numerical weights?

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Machine Learning Neural Network LLM Prompt Engineering 122

Marktechpost

JULY 20, 2024

Instruction-tuned LLMs can handle various tasks using natural language instructions, but their performance is sensitive to how instructions are phrased. This issue is critical in healthcare, where clinicians, who may need to be more skilled, prompt engineers, need reliable outputs. Check out the Paper.

Prompt Engineering 104

Prompt Engineering Prompt Engineer LLM ML 104

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.

LLM 59

LLM Large Language Models Data Quality Prompt Engineering 59

Marktechpost

SEPTEMBER 17, 2024

The analysis also clarifies how LLM performance can be optimized through prompt engineering. The team has also studied how the model’s dependence on these two processes can change depending on the task configuration, including the problem’s difficulty and the quantity of in-context instances.

Large Language Models 109

Large Language Models Prompt Engineering Prompt Engineer LLM 109

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.

Prompt Engineering 40

Prompt Engineering Prompt Engineer AI Automation Automation 40

ODSC - Open Data Science

OCTOBER 24, 2024

Our incredible lineup of speakers includes world-class experts in AI engineering, AI for robotics, LLMs, machine learning, and much more. LLM Distillation — Build Enterprise-Grade Applications Like Apple In this article we will talk through the steps required to distill a large, state of the art model to a smaller sibling model.

ML 52

ML LLM Data Science Robotics 52

Snorkel AI

FEBRUARY 18, 2025

But theres a catch: LLMs, particularly the largest and most advanced ones, are resource-intensive. Enter LLM distillation, a powerful technique that helps enterprises balance performance, cost efficiency, and task-specific optimization. By distilling large frontier LLMs like Llama 3.1 What is LLM distillation?

LLM 52

LLM Data Scientist Neural Network Large Language Models 52

Snorkel AI

FEBRUARY 18, 2025

But theres a catch: LLMs, particularly the largest and most advanced ones, are resource-intensive. Enter LLM distillation, a powerful technique that helps enterprises balance performance, cost efficiency, and task-specific optimization. By distilling large frontier LLMs like Llama 3.1 What is LLM distillation?

LLM 52

LLM Data Scientist Neural Network Large Language Models 52