AWS Machine Learning Blog

MARCH 20, 2025

These analytics are implemented with either Amazon Comprehend , or separate prompt engineering with FMs. He leads machine learning initiatives and projects across business domains, leveraging multimodal AI, generative models, computer vision, and natural language processing.

Automation 116

Automation IDP Generative AI Prompt Engineer 116

AWS Machine Learning Blog

JANUARY 4, 2024

Specifically, we discuss the following: Why do we need Text2SQL Key components for Text to SQL Prompt engineering considerations for natural language or Text to SQL Optimizations and best practices Architecture patterns Why do we need Text2SQL? Effective prompt engineering is key to developing natural language to SQL systems.

Prompt Engineering 140

Prompt Engineering Prompt Engineer Generative AI LLM 140

Marktechpost

JUNE 8, 2024

It targets individuals with basic computer and math skills, covering AI workloads, computer vision, natural language processing, document intelligence, and generative AI through beginner-level modules.

Artificial Intelligence 125

Artificial Intelligence Artificial Intelligence Machine Learning Prompt Engineering 125

Marktechpost

MAY 30, 2024

Computer Vision Fundamentals with Google Cloud This course covers computer vision use cases and machine learning strategies, from using pre-built ML APIs to building custom image classifiers with linear, DNN, or CNN models. Participants learn how to improve model accuracy and write scalable, specialized ML models.

Artificial Intelligence 131

Artificial Intelligence Artificial Intelligence BERT Computer Vision 131

AWS Machine Learning Blog

NOVEMBER 12, 2024

In this blog post, we demonstrate prompt engineering techniques to generate accurate and relevant analysis of tabular data using industry-specific language. This is done by providing large language models (LLMs) in-context sample data with features and labels in the prompt. For certain use cases, fine-tuning may be required.

ESG 109

ESG Generative AI LLM Prompt Engineer 109

Heartbeat

JULY 17, 2023

[link] Transfer learning using pre-trained computer vision models has become essential in modern computer vision applications. In this article, we will explore the process of fine-tuning computer vision models using PyTorch and monitoring the results using Comet. Pre-trained models, such as VGG, ResNet.

Computer Vision 52

Computer Vision Auto-classification Deep Learning Machine Learning 52

AWS Machine Learning Blog

OCTOBER 6, 2023

Furthermore, we discuss the diverse applications of these models, focusing particularly on several real-world scenarios, such as zero-shot tag and attribution generation for ecommerce and automatic prompt generation from images. The choice of a well-crafted prompt is pivotal in generating high-quality images with precision and relevance.

Generative AI 127

Generative AI Prompt Engineer Prompt Engineering Computer Vision 127

Marktechpost

MAY 29, 2024

Getting Started with Deep Learning This course teaches the fundamentals of deep learning through hands-on exercises in computer vision and natural language processing. It also covers how to set up deep learning workflows for various computer vision tasks.

Neural Network 93

Neural Network Natural Language Processing Large Language Models Deep Learning 93

Towards AI

DECEMBER 28, 2023

The advent of more powerful personal computers paved the way for the gradual acceptance of deep learning-based methods. The introduction of attention mechanisms has notably altered our approach to working with deep learning algorithms, leading to a revolution in the realms of computer vision and natural language processing (NLP).

Large Language Models 122

Large Language Models Natural Language Processing Deep Learning Prompt Engineering 122

AWS Machine Learning Blog

MARCH 14, 2024

We provide an overview of key generative AI approaches, including prompt engineering, Retrieval Augmented Generation (RAG), and model customization. We explore popular prompt engineering techniques that allow you to achieve more complex and interesting tasks with FMs.

Generative AI 133

Generative AI Prompt Engineering Prompt Engineer AI 133

Towards AI

JANUARY 6, 2025

Artificial Intelligence graduate certificate by STANFORD SCHOOL OF ENGINEERING Artificial Intelligence graduate certificate; taught by Andrew Ng, and other eminent AI prodigies; is a popular course that dives deep into the principles and methodologies of AI and related fields.

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence Computer Vision Deep Learning 105

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 Engineer 40

Prompt Engineer Prompt Engineering AI Automation Automation 40

AWS Machine Learning Blog

JUNE 25, 2024

Operational efficiency Uses prompt engineering, reducing the need for extensive fine-tuning when new categories are introduced. Requires retraining the model whenever new categories are added, leading to increased computational costs and longer deployment times. We provide a prompt example for feedback categorization.

Automation 127

Automation Prompt Engineer Prompt Engineering Categorization 127

PyImageSearch

SEPTEMBER 11, 2023

Furthermore, you will learn how SAM can be used for making segmentation predictions in real-time and how you can integrate it with your own computer vision projects. Recent progress toward developing such general-purpose “foundational models” has boomed the machine learning and computer vision community.

Computer Vision 112

Computer Vision Prompt Engineer Prompt Engineering Deep Learning 112

AWS Machine Learning Blog

FEBRUARY 12, 2025

For more information on application security, refer to Safeguard a generative AI travel agent with prompt engineering and Amazon Bedrock Guardrails. She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI.

Auto-classification 89

Auto-classification Metadata Generative AI Machine Learning 89

Towards AI

FEBRUARY 27, 2024

By its nature, Sora was built on top of three main concepts: Visual Transformer Inspired by the great success of large language models that use Transformer to learn the autoregression pattern of the language tokens, researchers started to apply transformers to computer vision tasks quite a few years ago.

Computer Vision 111

Computer Vision Large Language Models OpenAI Prompt Engineer 111

AWS Machine Learning Blog

OCTOBER 6, 2023

Another essential component is an orchestration tool suitable for prompt engineering and managing different type of subtasks. Generative AI developers can use frameworks like LangChain , which offers modules for integrating with LLMs and orchestration tools for task management and prompt engineering.

Generative AI 136

Generative AI LLM Natural Language Processing Metadata 136

AWS Machine Learning Blog

OCTOBER 23, 2024

It facilitates the seamless customization of FMs with enterprise-specific data using advanced techniques like prompt engineering and RAG so outputs are relevant and accurate. Asheesh holds a wide portfolio of hardware and software patents, including a real-time C++ DSL, IoT hardware devices, Computer Vision and Edge AI prototypes.

Generative AI 84

Generative AI IDP LLM Automation 84

Flipboard

NOVEMBER 24, 2023

Through various experimentation between AWS and SnapLogic, we have found the prompt engineering step of the solution diagram to be extremely important to generating high-quality outputs for these text-to-pipeline outputs. The JSON artifact is directly integrated to the core SnapLogic integration platform.

ETL 158

ETL Prompt Engineer Prompt Engineering Generative AI 158

AWS Machine Learning Blog

FEBRUARY 1, 2024

Make sure to validate prompt input data and prompt input size for allocated character limits that are defined by your model. If you’re performing prompt engineering, you should persist your prompts to a reliable data store. Randy DeFauw is a Senior Principal Solutions Architect at AWS.

Generative AI 137

Generative AI Prompt Engineer Prompt Engineering AI 137

Flipboard

DECEMBER 6, 2023

We discuss model selection and prompt engineering and optimization later in this post, but it’s worth noting that for the query generation stage, we noticed that Claude Instant was able to produce comparable results, especially when the user question is well phrased and not as sophisticated.

Chatbots 168

Chatbots LLM Prompt Engineer Prompt Engineering 168

Marktechpost

APRIL 8, 2024

It supports various AI frameworks, enabling users to train, fine-tune, and evaluate AI models across domains, including NLP, computer vision, and audio processing. vLLM : vLLM is a cutting-edge inference and serving engine designed specifically for the demands of LLM applications.

Large Language Models 109

Large Language Models AI Tools LLM Prompt Engineer 109

Marktechpost

DECEMBER 19, 2023

It also explores prompt engineering’s impact on VLM reward performance, although the sources do not provide specific results. The study examines the role of prompt engineering in VLM reward performance. Larger VLMs yield more accurate rewards, enhancing agent capabilities. Check out the Paper.

Prompt Engineering 117

Prompt Engineering Prompt Engineer BERT Artificial Intelligence 117

Marktechpost

JANUARY 24, 2024

Challenges include model limitations and prompt constraints, which are addressed through approaches like SD1.5+Lora Lora and prompt engineering. Various methods, such as prompt engineering and fixed templates, partially address challenges in stable diffusion models.

LLM 112

LLM Prompt Engineering Prompt Engineer Large Language Models 112

Towards AI

MARCH 28, 2024

It is a roadmap to the future tech stack, offering advanced techniques in Prompt Engineering, Fine-Tuning, and RAG, curated by experts from Towards AI, LlamaIndex, Activeloop, Mila, and more. Elymsyr wants to develop new projects to improve their ML, RL, computer vision, and co-working skills.

Large Language Models 97

Large Language Models Prompt Engineer Prompt Engineering LLM 97

AWS Machine Learning Blog

OCTOBER 8, 2024

The face match is detected using Amazon Rekognition , which offers pre-trained and customizable computer vision (CV) capabilities to extract information and insights from your images and videos. The key is the prompt engineering for the custom LangChain agent. This has been specified in PennyAgent.py.

Automation 116

Automation Prompt Engineer Prompt Engineering Machine Learning 116

deepsense.ai

FEBRUARY 6, 2024

Prompt engineering : the provided prompt plays a crucial role, especially when dealing with compound nouns. By using “car lamp” as a prompt, we are very likely to detect cars instead of car lamps. SegGPT Many successful approaches from NLP are now being translated into computer vision. Source: [link].

Prompt Engineer 105

Prompt Engineer Prompt Engineering NLP Computer Vision 105

AWS Machine Learning Blog

MARCH 13, 2024

Use LLM prompt engineering to accommodate customized policies The pre-trained Toxicity Detection models from Amazon Transcribe and Amazon Comprehend provide a broad toxicity taxonomy, commonly used by social platforms for moderating user-generated content in audio and text formats.

Natural Language Processing 134

Natural Language Processing LLM Prompt Engineer Prompt Engineering 134

AWS Machine Learning Blog

JUNE 27, 2024

After testing available open source models, we felt that the out-of-the-box capabilities and responses were insufficient with prompt engineering alone to meet our needs. Specifically, in our testing with open source models, we wanted to make sure each model was optimized for a ReAct/chain-of-thought style of prompting.

Software Engineer 126

Software Engineer Large Language Models AI AI 126

Flipboard

DECEMBER 6, 2023

Given their versatile nature, these models require specific task instructions provided through input text, a practice referred to as prompt engineering. The effectiveness of both the model’s performance and the prompt’s quality significantly influence the final quality of the model’s outputs.

BERT 167

BERT Large Language Models Artificial Intelligence Artificial Intelligence 167

AWS Machine Learning Blog

JULY 3, 2024

We use prompt engineering to send our summarization instructions to the LLM. Image 4: A high-level schematic of the content generation pipeline Content Generation Our solution relies primarily on prompt engineering to interact with Bedrock LLMs.

Generative AI 130

Generative AI LLM Large Language Models Machine Learning 130

Marktechpost

FEBRUARY 29, 2024

Studies about hallucination in MLLMs focus on prompt engineering and model enhancement to mitigate the issue. Recent research has explored visual instruction tuning, referring and grounding, image segmentation, image editing, and image generation using MLLMs.

Large Language Models 123

Large Language Models Prompt Engineer Prompt Engineering ML 123

Heartbeat

AUGUST 4, 2023

OpenAI is leading the way in these significant developments, but this year in April, a revolutionary segmentation model in computer vision was shared by Meta AI. Performing this process well is now defined as a profession: prompt engineering. Thus, downstream segmentation tasks are solved with prompt engineering.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Computer Vision Deep Learning 52

TheSequence

JULY 16, 2023

Pano AI, a startup that uses computer vision techniques to detect wildfires, announced a $20 million funding round. Prompt engineering platform Vellum.ai Sapphire Ventures announced plans to invest over $1 billion in enterprise AI startups. eBay acquired AI-powered fashion platform Certilogo. million in funding.

LLM 98

LLM OpenAI Prompt Engineer Prompt Engineering 98

AWS Machine Learning Blog

APRIL 3, 2023

This implementation provides accessibility to this LLM on instances with less compute, such as a single-GPU ml.g5.xlarge Prompt engineering for zero-shot NLP tasks on Flan-T5 models Prompt engineering deals with creating high-quality prompts to guide the model towards the desired responses. xlarge instance.

Natural Language Processing 97

Natural Language Processing NLP Prompt Engineer Prompt Engineering 97

Marktechpost

JANUARY 14, 2024

The most difficult challenge is to balance identity preservation and prompt alignment during personalized image generation, which often results in hindering the fulfillment of user prompts and subject fidelity. To prevent overfitting in the model, it uses pre-trained models’ knowledge and ensures the alignment with the prompt.

Prompt Engineering 104

Prompt Engineering Prompt Engineer ML AI 104

Marktechpost

OCTOBER 25, 2023

When it comes to downstream single-task optimizations such as task-specific fine-tuning and prompt engineering, it can be a better place to start than the vanilla GPT. Table-GPT’s adaptability makes it suitable for use as a table foundation model. This demonstrates how useful it is for a variety of purposes outside of table work.

Large Language Models 120

Large Language Models Natural Language Processing Prompt Engineer Prompt Engineering 120