AWS Machine Learning Blog

FEBRUARY 12, 2025

The evaluation of large language model (LLM) performance, particularly in response to a variety of prompts, is crucial for organizations aiming to harness the full potential of this rapidly evolving technology. Both features use the LLM-as-a-judge technique behind the scenes but evaluate different things.

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LLM Generative AI Automation Machine Learning 89

Unite.AI

SEPTEMBER 7, 2023

Today, there are numerous proprietary and open-source LLMs in the market that are revolutionizing industries and bringing transformative changes in how businesses function. Despite rapid transformation, there are numerous LLM vulnerabilities and shortcomings that must be addressed.

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LLM Large Language Models Prompt Engineer Prompt Engineering 167

Towards AI

NOVEMBER 7, 2024

P.S. We will soon release an extremely in-depth ~90-lesson practical full stack “LLM Developer” conversion course. This new course is already available for pre-order on our new Towards AI Academy course platform. Learn AI Together Community section! AI poll of the week!

Black Box AI 115

Black Box AI Machine Learning Prompt Engineer Prompt Engineering 115

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 52

LLM Large Language Models Data Quality Prompt Engineer 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. Roles like Data Scientist, ML Engineer, and the emerging LLM Engineer are in high demand.

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Prompt Engineering Prompt Engineer Large Language Models ML Engineer 52

AWS Machine Learning Blog

DECEMBER 5, 2024

Technical standards, such as ISO/IEC 42001, are significant because they provide a common framework for responsible AI development and deployment, fostering trust and interoperability in an increasingly global and AI-driven technological landscape.

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Responsible AI AI Tools AI AI 104

Unite.AI

APRIL 26, 2024

Parameter Count : The number of parameters in a decoder-based LLM is primarily determined by the embedding dimension (d_model), the number of attention heads (n_heads), the number of layers (n_layers), and the vocabulary size (vocab_size). The post Decoder-Based Large Language Models: A Complete Guide appeared first on Unite.AI.

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Large Language Models Prompt Engineering Prompt Engineer Neural Network 272

AWS Machine Learning Blog

JULY 10, 2024

By understanding and optimizing each stage of the prompting lifecycle and using techniques like chaining and routing, you can create more powerful, efficient, and effective generative AI solutions. Let’s dive into the new features in Amazon Bedrock and explore how they can help you transform your generative AI development process.

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Generative AI AI Developer AI Development Chatbots 123

IBM Journey to AI blog

SEPTEMBER 28, 2023

As a testament to the rigor IBM puts into the development and testing of its foundation models, IBM will indemnify clients against third party IP claims against IBM-developed foundation models. 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

Towards AI

JULY 27, 2024

We will also discuss how it differs from the most popular generative AI tool ChatGPT. Claude AI Claude AI is developed by Anthropic, an AI startup company backed by Google and Amazon, and is dedicated to developing safe and beneficial AI. ChatGPT vs. Claude AI: How do they differ?

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ChatGPT Prompt Engineering Prompt Engineer Explainability 119

ODSC - Open Data Science

MARCH 20, 2025

AI-Powered ETL Pipeline Orchestration: Multi-Agent Systems in the Era of Generative AI Discover how to revolutionize ETL pipelines with Generative AI and multi-agent systems, and learn about Agentic DAGs, LangGraph, and the future of AI-driven ETL pipeline orchestration. Register by Friday for 30%off!

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ETL Prompt Engineering Prompt Engineer Data Science 52

AWS Machine Learning Blog

MARCH 14, 2025

Finally, metrics such as ROUGE and F1 can be fooled by shallow linguistic similarities (word overlap) between the ground truth and the LLM response, even when the actual meaning is very different. Now that weve explained the key features, we examine how these capabilities come together in a practical implementation.

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Generative AI Responsible AI Automation LLM 90

AWS Machine Learning Blog

NOVEMBER 15, 2024

The rapid advancement of generative AI promises transformative innovation, yet it also presents significant challenges. Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development.

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Responsible AI Prompt Engineer Prompt Engineering AI 107

Towards AI

NOVEMBER 5, 2024

What happened this week in AI by Louie This week, we saw many more incremental model updates in the LLM space, together with further evidence of LLM coding assistants gaining traction. Microsoft’s GitHub Copilot is also enhancing its LLM-powered coding toolkit and expanding beyond its OpenAI dependency. and Gemini 1.5

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LLM OpenAI Prompt Engineer Prompt Engineering 111

ODSC - Open Data Science

OCTOBER 3, 2024

From October 29th to 31st, we’ve curated a schedule packed with over 150 hands-on workshops and expert-led talks designed to help you sharpen your skills and elevate your role as a data scientist or AI professional. Here’s a guide on how to use three popular ones: Llama, Mistral AI, and Claude. Got an LLM That Needs Some Work?

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Prompt Engineering Prompt Engineer LLM Data Science 40

AWS Machine Learning Blog

OCTOBER 6, 2023

The applications also extend into retail, where they can enhance customer experiences through dynamic chatbots and AI assistants, and into digital marketing, where they can organize customer feedback and recommend products based on descriptions and purchase behaviors. The agent sends the personalized email campaign to the end user.

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Generative AI LLM Natural Language Processing Metadata 131

AWS Machine Learning Blog

SEPTEMBER 1, 2023

In this post, we discuss how to operationalize generative AI applications using MLOps principles leading to foundation model operations (FMOps). Furthermore, we deep dive on the most common generative AI use case of text-to-text applications and LLM operations (LLMOps), a subset of FMOps.

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Generative AI Prompt Engineer Prompt Engineering ML 123

ODSC - Open Data Science

MARCH 13, 2025

From cutting-edge tools like GPT-4, Llama 3, and LangChain to essential frameworks like TensorFlow and pandas, youll gain hands-on experience with the technologies shaping the future of AI. Understanding Copyright and AI: What the U.S. for AI Overviews & the introduction of a new experimental AIMode.

Data Science 52

Data Science Prompt Engineer Prompt Engineering ML 52

Marktechpost

MAY 30, 2024

Introduction to AI and Machine Learning on Google Cloud This course introduces Google Cloud’s AI and ML offerings for predictive and generative projects, covering technologies, products, and tools across the data-to-AI lifecycle. It includes lessons on vector search and text embeddings, practical demos, and a hands-on lab.

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Artificial Intelligence Artificial Intelligence BERT Computer Vision 130

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 Engineer 59

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?

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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

ODSC - Open Data Science

OCTOBER 24, 2024

Time is running out to get your pass to the can’t-miss technical AI conference of the year. Our incredible lineup of speakers includes world-class experts in AI engineering, AI for robotics, LLMs, machine learning, and much more. Register here before we sell out!

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ML LLM Data Science Robotics 52

AWS Machine Learning Blog

NOVEMBER 7, 2024

Prompt catalog – Crafting effective prompts is important for guiding large language models (LLMs) to generate the desired outputs. Prompt engineering is typically an iterative process, and teams experiment with different techniques and prompt structures until they reach their target outcomes.

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Generative AI Machine Learning AI AI 108

Towards AI

FEBRUARY 15, 2023

But it is difficult to know how the ecosystem will play out and what capabilities and products will be built into the LLMs and owned by the likes of OpenAI, Microsoft, and Google and which will be performed by the surrounding startup ecosystem. Hottest News 1. This article explains why. […]

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Large Language Models Prompt Engineer Prompt Engineering AI Chatbots 98

Topbots

NOVEMBER 27, 2023

AI assistants automate the completion of frequently used functions and code statements, minimizing repetitive typing and reducing the likelihood of errors. AI developer tools generate initial drafts of new code, providing a solid foundation for further development and accelerating the coding process. Code Generation.

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Software Development Generative AI Prompt Engineer Prompt Engineering 105

Towards AI

SEPTEMBER 22, 2023

As an AI practitioner, how do you feel about the recent AI developments? Besides your excitement for its new power, have you wondered how you can hold your position in the rapidly moving AI stream? However, with the advent of LLM, everything has changed. One example is prompt engineering.

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Prompt Engineering Prompt Engineer ML ML Engineer 59

AWS Machine Learning Blog

MAY 9, 2024

The company is committed to ethical and responsible AI development, with human oversight and transparency. Verisk is using generative artificial intelligence (AI) to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles.

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Insight Engine Generative AI LLM AI 130

Chatbots Life

AUGUST 31, 2023

Certifications : Get certified in Conversational UX and AI Development with ChatGPT/BARD. Holistic Curriculum : From Prompt Engineering to Knowledge Bases, we’ve got you covered. Join us to dive deep into the evolving world of chatbots, AI, and UX. Event Highlights: - ? Date(s) : Nov 1st, 2nd & 3rd, 2023 - ?

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Chatbots Prompt Engineering Prompt Engineer ChatGPT 74

ODSC - Open Data Science

NOVEMBER 8, 2023

Over the past year, new terms, developments, algorithms, tools, and frameworks have emerged to help data scientists and those working with AI develop whatever they desire. There’s a lot to learn for those looking to take a deeper dive into generative AI and actually develop those tools that others will use.

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Generative AI Prompt Engineer Prompt Engineering LLM 52

Topbots

JULY 29, 2024

Here are the courses we cover: Generative AI for Everyone by DeepLearning.ai Introduction to Generative AI by Google Cloud Generative AI: Introduction and Applications by IBM ChatGPT Promt Engineering for Developers by OpenAI and DeepLearning.ai Generative AI for Software Development by DeepLearning.ai

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Generative AI Large Language Models Prompt Engineer Prompt Engineering 52

Marktechpost

OCTOBER 3, 2024

The study found that providing physicians access to GPT-4, an LLM, did not significantly enhance their diagnostic reasoning for complex clinical cases, despite the LLM alone outperforming both human participants. GPT-4 alone outperformed humans using conventional methods, scoring significantly higher diagnostic accuracy (p=0.03).

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Prompt Engineer Prompt Engineering LLM AI 64

Unite.AI

AUGUST 4, 2023

This, coupled with the challenges of understanding AI concepts and complex algorithms, contributes to the learning curve associated with developing applications using LLMs. Nevertheless, the integration of LLMs with other tools to form LLM-powered applications could redefine our digital landscape.

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Prompt Engineering Prompt Engineer Python NLP 245

ODSC - Open Data Science

OCTOBER 6, 2023

Be sure to check out his talk, “ Prompt Optimization with GPT-4 and Langchain ,” there! The difference between the average person using AI and a Prompt Engineer is testing. Most people run a prompt 2–3 times and find something that works well enough.

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Prompt Engineering Prompt Engineer Python Data Science 52

Snorkel AI

FEBRUARY 5, 2025

The simplest RAG system consists of a vector database, an LLM, a user interface, and an orchestrator such as LlamaIndex or LangChain. This final prompt gives the LLM more context with which to answer the users question. This final prompt gives the LLM more context with which to answer the users question.

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Data Scientist LLM Prompt Engineer Prompt Engineering 52

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. As large language models gain importance, it’s now more needed than ever to develop maintenance and deployment frameworks — enter LLMOps.

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Large Language Models Prompt Engineering Prompt Engineer Data Scientist 52

Heartbeat

OCTOBER 5, 2023

Feature Engineering and Model Experimentation MLOps: Involves improving ML performance through experiments and feature engineering. LLMOps: LLMs excel at learning from raw data, making feature engineering less relevant. The focus shifts towards prompt engineering and fine-tuning.

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Large Language Models DevOps Machine Learning Prompt Engineer 52