AWS Machine Learning Blog

FEBRUARY 21, 2025

The following diagram compares predictive AI to generative AI. The concept of a compound AI system enables data scientists and ML engineers to design sophisticated generative AI systems consisting of multiple models and components. Yunfei has a PhD in Electronic and Electrical Engineering.

LLM 97

LLM AI AI Data Scientist 97

Marktechpost

JUNE 24, 2024

Impact of ChatGPT on Human Skills: The rapid emergence of ChatGPT, a highly advanced conversational AI model developed by OpenAI, has generated significant interest and debate across both scientific and business communities.

ChatGPT 116

ChatGPT Generative AI BERT NLP 116

Flipboard

MARCH 3, 2025

Zoom researchers unveil "chain of draft," which cuts AI token usage by 92%, transforming the economics of language model deployment. Read More

AI 176

AI AI Prompt Engineer Prompt Engineering 176

ODSC - Open Data Science

MAY 1, 2023

Anomaly detection is also a crucial part of monitoring models, such as via statistical process control and ML-based anomaly detection so organizations can catch drops in accuracy as they occur. MLOps are also helpful with root cause analysis, performance monitoring, and governance & compliance.

Large Language Models 97

Large Language Models Data Scientist NLP Data Science 97

AWS Machine Learning Blog

AUGUST 14, 2023

Amazon SageMaker JumpStart is a machine learning (ML) hub offering algorithms, models, and ML solutions. Prompt engineering for zero-shot and few-shot NLP tasks on BLOOM models Prompt engineering deals with creating high-quality prompts to guide the model towards the desired responses.

NLP 97

NLP Prompt Engineering Robotics Prompt Engineer 97

AWS Machine Learning Blog

SEPTEMBER 15, 2023

We use prompt engineering only and Flan-UL2 model as-is without fine-tuning. Conclusion In this post, we explored how to build an LLM agent that can utilize multiple tools from the ground up, using low-level prompt engineering, AWS Lambda functions, and SageMaker JumpStart as building blocks. He holds B.S.

LLM 131

LLM Prompt Engineering Prompt Engineer Large Language Models 131

AWS Machine Learning Blog

JULY 31, 2024

This streaming output capability is particularly useful in scenarios where real-time interaction or continuous generation is required, such as conversational AI assistants or live captioning. He holds passion about meta-agents, scalable on-demand inference, advanced RAG solutions and cost optimized prompt engineering with LLMs.

LLM 132

LLM Generative AI Prompt Engineering Prompt Engineer 132

Marktechpost

DECEMBER 4, 2024

Existing methods to safeguard LLMs focus predominantly on single-round attacks, employing techniques like prompt engineering or encoding harmful queries, which fail to address the complexities of multi-round interactions. Don’t Forget to join our 60k+ ML SubReddit. Check out the Paper.

Prompt Engineer 44

Prompt Engineer Prompt Engineering LLM Large Language Models 44

AWS Machine Learning Blog

MAY 3, 2023

Generative AI (GenAI) and large language models (LLMs), such as those available soon via Amazon Bedrock and Amazon Titan are transforming the way developers and enterprises are able to solve traditionally complex challenges related to natural language processing and understanding. Mithil Shah is an ML/AI Specialist at AWS.

Large Language Models 99

Large Language Models Generative AI LLM Chatbots 99

Marktechpost

FEBRUARY 13, 2025

Understanding how users navigate and minimize these biases is essential to crafting AI systems that empower communities in concert with ethical engagement. Conventional strategies for reducing AI biases, such as fine-tuning, prompt engineering, and reinforcement learning using human feedback, are based on top-down intervention by developers.

AI 62

AI AI Prompt Engineering Prompt Engineer 62

Snorkel AI

MAY 4, 2023

Join us on June 7-8 to learn how to use your data to build your AI moat at The Future of Data-Centric AI 2023. The free virtual conference is the largest annual gathering of the data-centric AI community. Enterprise use cases: predictive AI, generative AI, NLP, computer vision, conversational AI.

Computer Vision 52

Computer Vision Large Language Models Natural Language Processing AI 52

Snorkel AI

MAY 4, 2023

Join us on June 7-8 to learn how to use your data to build your AI moat at The Future of Data-Centric AI 2023. The free virtual conference is the largest annual gathering of the data-centric AI community. Enterprise use cases: predictive AI, generative AI, NLP, computer vision, conversational AI.

Computer Vision 52

Computer Vision Large Language Models Natural Language Processing AI 52

Marktechpost

JANUARY 16, 2025

LLMs have significantly advanced natural language processing, excelling in tasks like open-domain question answering, summarization, and conversational AI. Advancing prompt engineering could further improve both quote extraction and reasoning processes. Dont Forget to join our 65k+ ML SubReddit.

NLP 48

NLP Natural Language Processing Prompt Engineering Prompt Engineer 48

Topbots

JULY 29, 2024

Best Practices for Prompt Engineering: Guidance on creating effective prompts for various tasks. Hands-on Experience: Numerous examples and interactive exercises in a Jupyter notebook environment to practice prompt engineering. Prompt Engineering: Understand the techniques of prompt engineering.

Generative AI 52

Generative AI Large Language Models Prompt Engineering Prompt Engineer 52

Snorkel AI

JUNE 7, 2023

In particular, he highlighted his company’s Demonstrate-Search-Predict framework which abstracts away aspects of using foundation models, such as prompt engineering. Panel – Adopting AI: With Power Comes Responsibility Harvard’s Vijay Janapa Reddi, JPMorgan Chase & Co.’s Catch the sessions you missed!

Data Scientist 52

Data Scientist Large Language Models Machine Learning Data Science 52

Snorkel AI

JUNE 7, 2023

In particular, he highlighted his company’s Demonstrate-Search-Predict framework which abstracts away aspects of using foundation models, such as prompt engineering. Panel – Adopting AI: With Power Comes Responsibility Harvard’s Vijay Janapa Reddi, JPMorgan Chase & Co.’s Learn more, live!

Data Scientist 52

Data Scientist Large Language Models Machine Learning Data Science 52

AWS Machine Learning Blog

MAY 9, 2024

In this post, we describe the development of the customer support process in FAST incorporating generative AI, the data, the architecture, and the evaluation of the results. Conversational AI assistants are rapidly transforming customer and employee support.

Insight Engine 131

Insight Engine Generative AI LLM AI 131

Heartbeat

NOVEMBER 16, 2023

An In-depth Look into Evaluating AI Outputs, Custom Criteria, and the Integration of Constitutional Principles Photo by Markus Winkler on Unsplash Introduction In the age of conversational AI, chatbots, and advanced natural language processing, the need for systematic evaluation of language models has never been more pronounced.

LLM 52

LLM Chatbots Explainability Deep Learning 52

Topbots

SEPTEMBER 11, 2023

The different components of your AI system will interact with each other in intimate ways. For example, if you are working on a virtual assistant, your UX designers will have to understand prompt engineering to create a natural user flow. Train your ML model from scratch.

UX Design 59

UX Design AI AI Automation 59

AWS Machine Learning Blog

OCTOBER 8, 2024

The details are verified by extracting the document text using Amazon Textract , a machine learning (ML) service that automatically extracts text, handwriting, layout elements, and data from scanned documents. The key is the prompt engineering for the custom LangChain agent. The image is uploaded to Amazon S3.

Automation 121

Automation Prompt Engineering Prompt Engineer Machine Learning 121

Heartbeat

DECEMBER 14, 2023

Empowering Conversational AI with Contextual Recall Photo by Fredy Jacob on Unsplash Memory in Agents Memory in Agents is an important feature that allows them to retain information from previous interactions and use it to provide more accurate and context-aware responses. We pay our contributors, and we don’t sell ads.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning Computer Scientist 52

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

Prompt Engineer 176

Prompt Engineer Prompt Engineering AI Development AI Developer 176

AWS Machine Learning Blog

NOVEMBER 26, 2023

In this post, we talk about how generative AI is changing the conversational AI industry by providing new customer and bot builder experiences, and the new features in Amazon Lex that take advantage of these advances. It can often be difficult to anticipate the permutations on verbiage and syntax used by customers.

Generative AI 135

Generative AI Neural Network Conversational AI Chatbots 135

AWS Machine Learning Blog

OCTOBER 24, 2024

In this case, use prompt engineering techniques to call the default agent LLM and generate the email validation code. His work has been focused on conversational AI, task-oriented dialogue systems and LLM-based agents. What are some S3 best practices?

Generative AI 99

Generative AI Large Language Models Explainability LLM 99