AWS Machine Learning Blog

MARCH 14, 2025

Her overall work focuses on Natural Language Processing (NLP) research and developing NLP applications for AWS customers, including LLM Evaluations, RAG, and improving reasoning for LLMs. Jesse Manders is a Senior Product Manager on Amazon Bedrock, the AWS Generative AI developer service.

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IBM Journey to AI blog

FEBRUARY 13, 2024

Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” They are now capable of natural language processing ( NLP ), grasping context and exhibiting elements of creativity.

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Towards AI

JANUARY 6, 2025

Professional Development Certificate in Applied AI by McGill UNIVERSITY The Professional Development Certificate in Applied AI from McGill is an appropriate advanced and practical program designed to equip professionals with actionable industry-relevant knowledge and skills required to be senior AI developers and the ranks.

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Unite.AI

SEPTEMBER 7, 2023

By developing prompts that exploit the model's biases or limitations, attackers can coax the AI into generating inaccurate content that aligns with their agenda. Solution Establishing predefined guidelines for prompt usage and refining prompt engineering techniques can help curtail this LLM vulnerability.

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LLM Large Language Models Prompt Engineer Prompt Engineering 167

AWS Machine Learning Blog

OCTOBER 6, 2023

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. Another essential component is an orchestration tool suitable for prompt engineering and managing different type of subtasks.

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AWS Machine Learning Blog

SEPTEMBER 1, 2023

They have deep end-to-end ML and natural language processing (NLP) expertise and data science skills, and massive data labeler and editor teams. Strong domain knowledge for tuning, including prompt engineering, is required as well. Only prompt engineering is necessary for better results.

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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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Unite.AI

AUGUST 4, 2023

In this article, we will delve deeper into these issues, exploring the advanced techniques of prompt engineering with Langchain, offering clear explanations, practical examples, and step-by-step instructions on how to implement them. Prompts play a crucial role in steering the behavior of a model.

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Prompt Engineering Prompt Engineer Python NLP 245

How to Learn Machine Learning

JULY 20, 2024

Generative AI solutions gained popularity with the launch of ChatGPT, developed by OpenAI, in 2023. Supported by Natural Language Processing (NLP), Large language modules (LLMs), and Machine Learning (ML), Generative AI can evaluate and create extensive images and texts to assist users.

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Topbots

JULY 29, 2024

Prompt Tuning: An overview of prompt tuning and its significance in optimizing AI outputs. Google’s Gen AI Development Tools: Insight into the tools provided by Google for developing generative AI applications. LangChain for LLM Application Development by LangChain and DeepLearning.ai

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Generative AI Large Language Models Prompt Engineer Prompt Engineering 52

ODSC - Open Data Science

SEPTEMBER 13, 2024

Crafting the Perfect Model: Fine-Tuning and Merging LLMs | Maxime Labonne, PhD | Senior Staff Machine Learning Scientist | Liquid AI Optimising GenAI Outcomes in Financial Services with DSPy | Alberto Romero | Director, GenAI Platform Engineering | Citi Engineering Trust: The Technical Expert’s Role in Building Trustworthy AI | Maria Axente | Head (..)

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Data Scientist Data Science Large Language Models Machine Learning 52

Snorkel AI

MAY 4, 2023

The sessions at this year’s conference will focus on the following: Data development techniques: programmatic labeling, synthetic data, active learning, weak supervision, data cleaning, and augmentation. Enterprise use cases: predictive AI, generative AI, NLP, computer vision, conversational AI.

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Snorkel AI

MAY 4, 2023

The sessions at this year’s conference will focus on the following: Data development techniques: programmatic labeling, synthetic data, active learning, weak supervision, data cleaning, and augmentation. Enterprise use cases: predictive AI, generative AI, NLP, computer vision, conversational AI.

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Computer Vision Large Language Models Natural Language Processing AI 52

Heartbeat

OCTOBER 5, 2023

These LLMs can generate human-like text, understand context, and perform various Natural Language Processing (NLP) tasks. Feature Engineering and Model Experimentation MLOps: Involves improving ML performance through experiments and feature engineering. The focus shifts towards prompt engineering and fine-tuning.

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Large Language Models DevOps Machine Learning Prompt Engineer 52

Snorkel AI

OCTOBER 17, 2023

What are the key advantages that it offers for financial NLP tasks? Gideon Mann: To your point about data-centric AI and the commoditization of LLMs, when I look at what’s come out of open-source and academia, and the people working on LLMs, there has been amazing progress in making these models easier to use and train.

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Large Language Models NLP Prompt Engineer Prompt Engineering 64

AWS Machine Learning Blog

FEBRUARY 19, 2024

Mask prompt – A mask prompt is a natural language text description of the elements you want to affect, that uses an in-house text-to-segmentation model. For more information, refer to Prompt Engineering Guidelines. Convert the image to a base64-encoded string. Yusheng Xie is a Principal Applied Scientist at Amazon AGI.

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Snorkel AI

OCTOBER 17, 2023

What are the key advantages that it offers for financial NLP tasks? Gideon Mann: To your point about data-centric AI and the commoditization of LLMs, when I look at what’s come out of open-source and academia, and the people working on LLMs, there has been amazing progress in making these models easier to use and train.

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Large Language Models NLP Prompt Engineer Prompt Engineering 59

Snorkel AI

OCTOBER 17, 2023

What are the key advantages that it offers for financial NLP tasks? Gideon Mann: To your point about data-centric AI and the commoditization of LLMs, when I look at what’s come out of open-source and academia, and the people working on LLMs, there has been amazing progress in making these models easier to use and train.

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Large Language Models NLP Prompt Engineer Prompt Engineering 52

Topbots

SEPTEMBER 11, 2023

AI development is a highly collaborative enterprise. In traditional software development, you work with a relatively clear dichotomy consisting of the backend and the frontend components. The different components of your AI system will interact with each other in intimate ways.

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Snorkel AI

APRIL 16, 2024

I think we’ve always had a belief that data is at the center of the AI development process. But these are all within the realm of prompt engineering. You could get away with just doing prompting and serving these models immediately. PV: That’s exactly right.

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Large Language Models ML LLM Generative AI 52

Viso.ai

FEBRUARY 21, 2024

The quality and performance of the LLM depend on the quality of the prompt it is given. Prompt engineering allows users to construct optimal prompts to improve the LLM response. This article will guide readers step by step through AI prompt engineering and discuss the following: What is a Prompt?

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Prompt Engineering Prompt Engineer Computer Vision LLM 52

AWS Machine Learning Blog

JANUARY 26, 2024

As part of quality assurance tests, introduce synthetic security threats (such as attempting to poison training data, or attempting to extract sensitive data through malicious prompt engineering) to test out your defenses and security posture on a regular basis.

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AWS Machine Learning Blog

AUGUST 30, 2024

This licensing update reflects Meta’s commitment to fostering innovation and collaboration in AI development with transparency and accountability. Conclusion In this post, we explored a solution that uses the vector engine ChromaDB and Meta Llama 3, a publicly available FM hosted on SageMaker JumpStart, for a Text-to-SQL use case.

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AWS Machine Learning Blog

OCTOBER 23, 2024

The landscape of enterprise application development is undergoing a seismic shift with the advent of generative AI. Agent Creator is a no-code visual tool that empowers business users and application developers to create sophisticated large language model (LLM) powered applications and agents without programming expertise.

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Flipboard

MARCH 6, 2025

Anthropic launches upgraded Console with team prompt collaboration tools and Claude 3.7 Sonnet's extended thinking controls, addressing enterprise AI development challenges while democratizing prompt engineering across technical and non-technical teams. Read More

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Unite.AI

SEPTEMBER 4, 2023

One that stresses an open-source approach as the backbone of AI development, particularly in the generative AI space. Llama 2 isn't just another statistical model trained on terabytes of data; it's an embodiment of a philosophy.

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Marktechpost

APRIL 8, 2024

Hugging Face : Hugging Face transcends its role as an AI platform by providing an extensive ecosystem for hosting AI models, sharing datasets, and developing collaborative projects. Qdrant : Qdrant is a high-performance, Rust-based vector search engine tailored for machine learning applications.

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Large Language Models AI Tools LLM Prompt Engineer 107

John Snow Labs

MAY 21, 2024

We are happy to announce the release of Generative AI Lab, marking the transition from the previous NLP Lab to a state-of-the-art No-Code platform that enables domain experts to train task-specific AI models using large language models (LLMs). Organize and share models, prompts, and rules within one private enterprise hub.

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ODSC - Open Data Science

MARCH 21, 2025

Led by Dwayne Natwick , CEO of Captain Hyperscaler, LLC, and a Microsoft Certified Trainer (MCT) Regional Lead & Microsoft Most Valuable Professional (MVP) , these sessions will provide practical insights and hands-on experience in prompt engineering and generative AI development.

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Prompt Engineering Prompt Engineer OpenAI Generative AI 52