Marktechpost

APRIL 16, 2024

Introduction to Generative AI “Introduction to Generative AI” covers the fundamentals of generative AI and how to use it safely and effectively. It explains the fundamentals of LLMs and generative AI and also covers prompt engineering to improve performance.

Large Language Models 105

Large Language Models Auto-complete Prompt Engineer Prompt Engineering 105

AWS Machine Learning Blog

JANUARY 7, 2025

The solution proposed in this post relies on LLMs context learning capabilities and prompt engineering. The following sample XML illustrates the prompts template structure: EN FR Prerequisites The project code uses the Python version of the AWS Cloud Development Kit (AWS CDK). The indexing process can take a few minutes.

Large Language Models 91

Large Language Models Prompt Engineer Prompt Engineering Metadata 91

ODSC - Open Data Science

AUGUST 24, 2023

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Editor’s note: Jayachandran Ramachandran and Rohit Sroch are speakers for ODSC APAC this August 22–23. Various prompting techniques, such as Zero/Few Shot, Chain-of-Thought (CoT)/Self-Consistency, ReAct, etc.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Large Language Models Responsible AI 52

AWS Machine Learning Blog

DECEMBER 11, 2024

Two open-source libraries, Ragas (a library for RAG evaluation) and Auto-Instruct, used Amazon Bedrock to power a framework that evaluates and improves upon RAG. Generating improved instructions for each question-and-answer pair using an automatic prompt engineering technique based on the Auto-Instruct Repository.

Generative AI 61

Generative AI Chatbots Prompt Engineer Prompt Engineering 61

Mlearning.ai

JULY 3, 2023

Life however decided to take me down a different path (partly thanks to Fujifilm discontinuing various films ), although I have never quite completely forgotten about glamour photography. Stable Diffusion — Generative AI for Paupers, Misers and Cheapskates Many state-of-the-art generative AI models are not open source or free to use.

Generative AI 52

Generative AI Auto-complete Auto-classification AI 52

AWS Machine Learning Blog

SEPTEMBER 14, 2023

Today, generative AI models cover a variety of tasks from text summarization, Q&A, and image and video generation. To improve the quality of output, approaches like n-short learning, Prompt engineering, Retrieval Augmented Generation (RAG) and fine tuning are used.

Python 118

Python Machine Learning Auto-complete Data Science 118

AWS Machine Learning Blog

DECEMBER 5, 2023

The insurance provider receives payout claims from the beneficiary’s attorney for different insurance types, such as home, auto, and life insurance. When this is complete, the document can be routed to the appropriate department or downstream process. The following diagram outlines the proposed solution architecture. append(e["Text"].upper())

Metadata 110

Metadata Auto-classification Auto-complete Content Enrichment 110

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. To remove an element, omit the text parameter completely. Parse and decode the response.

Auto-complete 109

Auto-complete Python Computer Vision Generative AI 109

AWS Machine Learning Blog

MAY 17, 2023

AWS delivers services that meet customers’ artificial intelligence (AI) and machine learning (ML) needs with services ranging from custom hardware like AWS Trainium and AWS Inferentia to generative AI foundation models (FMs) on Amazon Bedrock. Download the generated text file to view the transcription. format(' '.join(chunk_summaries),

Large Language Models 72

Large Language Models Auto-complete ML Generative AI 72

AWS Machine Learning Blog

JUNE 20, 2024

Additionally, evaluation can identify potential biases, hallucinations, inconsistencies, or factual errors that may arise from the integration of external sources or from sub-optimal prompt engineering. In this case, the model choice needs to be revisited or further prompt engineering needs to be done.

Auto-classification 118

Auto-classification LLM Prompt Engineer Prompt Engineering 118

AWS Machine Learning Blog

APRIL 17, 2023

Sparked by the release of large AI models like AlexaTM , GPT , OpenChatKit , BLOOM , GPT-J , GPT-NeoX , FLAN-T5 , OPT , Stable Diffusion , and ControlNet , the popularity of generative AI has seen a recent boom. For more information, refer to EMNLP: Prompt engineering is the new feature engineering.

Prompt Engineer 83

Prompt Engineer Prompt Engineering Deep Learning Machine Learning 83

AWS Machine Learning Blog

APRIL 16, 2024

To learn more about SageMaker Studio JupyterLab Spaces, refer to Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools. To store information in Secrets Manager, complete the following steps: On the Secrets Manager console, choose Store a new secret.

Data Scientist 101

Data Scientist Generative AI Machine Learning Auto-complete 101

AWS Machine Learning Blog

APRIL 20, 2023

A complete example is available in our GitHub notebook. To run the Inference Recommender job, complete the following steps: Create a SageMaker model by specifying the framework, version, and image scope: model = Model( model_data=model_url, role=role, image_uri = sagemaker.image_uris.retrieve(framework="xgboost", region=region, version="1.5-1",

ML 81

ML Auto-classification Python Auto-complete 81

Snorkel AI

JUNE 7, 2023

The session highlighted the “last mile” problem in AI applications and emphasized the importance of data-centric approaches in achieving production-level accuracy. The output of generative models defies simple comparisons to test sets. We are, in our view, in a bit of a hype cycle,” he said.

Data Scientist 52

Data Scientist Large Language Models Machine Learning Data Science 52

Snorkel AI

JUNE 7, 2023

The session highlighted the “last mile” problem in AI applications and emphasized the importance of data-centric approaches in achieving production-level accuracy. The output of generative models defies simple comparisons to test sets. We are, in our view, in a bit of a hype cycle,” he said.

Data Scientist 52

Data Scientist Large Language Models Machine Learning Data Science 52

Snorkel AI

MARCH 2, 2023

I am Ali Arsanjani, and I lead partner engineering for Google Cloud, specializing in the area of AI-ML, and I’m very happy to be here today with everyone. Others, toward language completion and further downstream tasks. In retail: generating product descriptions and recommendations and customer churn and these types of things.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

Snorkel AI

MARCH 2, 2023

I am Ali Arsanjani, and I lead partner engineering for Google Cloud, specializing in the area of AI-ML, and I’m very happy to be here today with everyone. Others, toward language completion and further downstream tasks. In retail: generating product descriptions and recommendations and customer churn and these types of things.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

Unite.AI

JUNE 15, 2023

Forethought, the AI and Machine Learning platform for the enterprise, began with its focus on customer support. The company’s AI can learn from internal documents, email, chat and even old support tickets to automatically resolve auto-route tickets correctly, and quickly surface the most relevant institutional knowledge.

Large Language Models 246

Large Language Models Chatbots Generative AI Auto-complete 246

Unite.AI

SEPTEMBER 4, 2023

Developed by Meta with its partnership with Microsoft, this open-source large language model aims to redefine the realms of generative AI and natural language understanding. One that stresses an open-source approach as the backbone of AI development, particularly in the generative AI space.

ChatGPT 290

ChatGPT Auto-complete Large Language Models LLM 290

AWS Machine Learning Blog

MARCH 19, 2024

Generative language models have proven remarkably skillful at solving logical and analytical natural language processing (NLP) tasks. Furthermore, the use of prompt engineering can notably enhance their performance. One way to implement a zero-shot CoT is via prompt augmentation with the instruction to “think step by step.”

Auto-complete 113

Auto-complete NLP Prompt Engineer Prompt Engineering 113

AWS Machine Learning Blog

NOVEMBER 1, 2023

Visual language processing (VLP) is at the forefront of generative AI, driving advancements in multimodal learning that encompasses language intelligence, vision understanding, and processing. Solution overview The proposed VLP solution integrates a suite of state-of-the-art generative AI modules to yield accurate multimodal outputs.

Auto-classification 103

Auto-classification LLM Auto-complete Generative AI 103

Topbots

JUNE 29, 2023

On a more advanced stance, everyone who has done SQL query optimisation will know that many roads lead to the same result, and semantically equivalent queries might have completely different syntax. 3] provides a more complete survey of Text2SQL data augmentation techniques. different variants of semantic parsing.

Auto-complete 52

Auto-complete Algorithm Data Scientist Auto-classification 52