Unite.AI

OCTOBER 25, 2023

But the drawback for this is its reliance on the skill and expertise of the user in prompt engineering. On the other hand, a Node is a snippet or “chunk” from a Document, enriched with metadata and relationships to other nodes, ensuring a robust foundation for precise data retrieval later on.

LLM 304

LLM OpenAI Prompt Engineering Prompt Engineer 304

AWS Machine Learning Blog

AUGUST 30, 2024

Prompt engineering best practices for Meta Llama 3 The following are best practices for prompt engineering for Meta Llama 3: Base model usage – Base models offer the following: Prompt-less flexibility – Base models in Meta Llama 3 excel in continuing sequences and handling zero-shot or few-shot tasks without requiring specific prompt formats.

Prompt Engineer 88

Prompt Engineer Prompt Engineering Metadata Generative AI 88

Heartbeat

AUGUST 25, 2023

Introduction Prompt Engineering is arguably the most critical aspect in harnessing the power of Large Language Models (LLMs) like ChatGPT. However; current prompt engineering workflows are incredibly tedious and cumbersome. Logging prompts and their outputs to .csv First install the package via pip.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Large Language Models Metadata 52

AWS Machine Learning Blog

MARCH 25, 2025

Implement metadata filtering , adding contextual layers to chunk retrieval. For code samples for metadata filtering using Amazon Bedrock Knowledge Bases, refer to the following GitHub repo. Success comes from methodically using techniques like prompt engineering and chunking to improve both the retrieval and generation stages of RAG.

Prompt Engineering 102

Prompt Engineering Prompt Engineer Metadata Responsible AI 102

The MLOps Blog

DECEMBER 26, 2024

makes it easy for RAG developers to track evaluation metrics and metadata, enabling them to analyze and compare different system configurations. Further, LangChain offers features for prompt engineering, like templates and example selectors. The framework also contains a collection of tools that can be called by LLM agents.

LLM 96

LLM Metadata OpenAI Chatbots 96

Flipboard

JANUARY 24, 2025

Sensitive information disclosure is a risk with LLMs because malicious prompt engineering can cause LLMs to accidentally reveal unintended details in their responses. You can build a segmented access solution on top of a knowledge base using metadata and filtering feature. This can lead to privacy and confidentiality violations.

Generative AI 160

Generative AI LLM AI AI 160

AWS Machine Learning Blog

FEBRUARY 12, 2025

You can use metadata filtering to narrow down search results by specifying inclusion and exclusion criteria. For more information on application security, refer to Safeguard a generative AI travel agent with prompt engineering and Amazon Bedrock Guardrails.

Auto-classification 93

Auto-classification Metadata Generative AI Machine Learning 93

Marktechpost

JULY 25, 2024

Introduction to Large Language Models Difficulty Level: Beginner This course covers large language models (LLMs), their use cases, and how to enhance their performance with prompt tuning. Students will learn to write precise prompts, edit system messages, and incorporate prompt-response history to create AI assistant and chatbot behavior.

Large Language Models 116

Large Language Models Prompt Engineer Prompt Engineering Chatbots 116

Flipboard

MARCH 31, 2025

Amazon Bedrock manages prompt engineering, memory, monitoring, encryption, user permissions, and API invocation. You dont have to provision capacity, manage infrastructure, or write custom code.

LLM 177

LLM Automation Generative AI AI Automation 177

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. This trainable custom model can then be progressively improved through a feedback loop as shown above.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Large Language Models Responsible AI 52

AWS Machine Learning Blog

DECEMBER 5, 2024

Used alongside other techniques such as prompt engineering, RAG, and contextual grounding checks, Automated Reasoning checks add a more rigorous and verifiable approach to enhancing the accuracy of LLM-generated outputs.

Responsible AI 111

Responsible AI AI Tools AI AI 111

Unite.AI

OCTOBER 7, 2024

Yes, they have the data, the metadata, the workflows and a vast array of services to connect into; and so long as your systems only live within Salesforce, it sounds pretty ideal. Salesforce may or may not have invented prompt engineering, a claim Benioff also made in the keynote evoking perhaps the “Austin Powers” Dr.

AI 189

AI AI Prompt Engineering Prompt Engineer 189

AWS Machine Learning Blog

AUGUST 8, 2024

They used the metadata layer (schema information) over their data lake consisting of views (tables) and models (relationships) from their data reporting tool, Looker , as the source of truth. Refine your existing application using strategic methods such as prompt engineering , optimizing inference parameters and other LookML content.

Metadata 128

Metadata LLM Prompt Engineering Prompt Engineer 128

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.

Generative AI 116

Generative AI Machine Learning AI AI 116

AWS Machine Learning Blog

JANUARY 28, 2025

By documenting the specific model versions, fine-tuning parameters, and prompt engineering techniques employed, teams can better understand the factors contributing to their AI systems performance. This record-keeping allows developers and researchers to maintain consistency, reproduce results, and iterate on their work effectively.

LLM 112

LLM Large Language Models ML Algorithm 112

Marktechpost

MARCH 26, 2025

Traditional security methods, such as model training and prompt engineering, have shown limited effectiveness, underscoring the urgent need for robust defenses. Moreover, CaMeL addresses subtle vulnerabilities, such as data-to-control flow manipulations, by strictly managing dependencies through its metadata-based policies.

LLM 90

LLM Metadata Large Language Models Prompt Engineering 90

AWS Machine Learning Blog

MAY 7, 2024

This post walks through examples of building information extraction use cases by combining LLMs with prompt engineering and frameworks such as LangChain. Prompt engineering Prompt engineering enables you to instruct LLMs to generate suggestions, explanations, or completions of text in an interactive way.

Prompt Engineer 126

Prompt Engineer Prompt Engineering Large Language Models LLM 126

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 139

Generative AI LLM Natural Language Processing Metadata 139

Marktechpost

MAY 30, 2024

Inspect Rich Documents with Gemini Multimodality and Multimodal RAG This course covers using multimodal prompts to extract information from text and visual data and generate video descriptions with Gemini. Prompt Design in Vertex AI This course covers prompt engineering, image analysis, and multimodal generative techniques in Vertex AI.

Artificial Intelligence 132

Artificial Intelligence Artificial Intelligence BERT Computer Vision 132

Unite.AI

SEPTEMBER 25, 2023

MusicLM Performance, Image source: here Stability Audio Stability AI last week introduced “ Stable Audio ” a latent diffusion model architecture conditioned on text metadata alongside audio file duration and start time.

Generative AI 296

Generative AI Deep Learning Algorithm AI 296

AWS Machine Learning Blog

AUGUST 9, 2024

The embedding representations of text chunks along with related metadata are indexed in OpenSearch Service. In addition to the embedding vector, the text chunk and document metadata such as document, document section name, or document release date are also added to the index as text fields.

Data Ingestion 133

Data Ingestion Metadata LLM Generative AI 133

AWS Machine Learning Blog

OCTOBER 24, 2024

Try metadata filtering in your OpenSearch index. Try using query rewriting to get the right metadata filtering. The retriever isn’t at fault, the problem is with FM generation (evaluated by a human or LLM): Try prompt engineering to mitigate hallucinations. If none of the above help: Consider training a custom embedding.

Chatbots 93

Chatbots Metadata Generative AI LLM 93

AWS Machine Learning Blog

JUNE 25, 2024

Operational efficiency Uses prompt engineering, reducing the need for extensive fine-tuning when new categories are introduced. Prerequisites This post is intended for developers with a basic understanding of LLM and prompt engineering. A prompt is natural language text describing the task that an AI should perform.

Automation 129

Automation Prompt Engineer Prompt Engineering Categorization 129

AWS Machine Learning Blog

MAY 30, 2024

The workflow for NLQ consists of the following steps: A Lambda function writes schema JSON and table metadata CSV to an S3 bucket. The wrapper function reads the table metadata from the S3 bucket. The wrapper function creates a dynamic prompt template and gets relevant tables using Amazon Bedrock and LangChain.

Metadata 132

Metadata Generative AI LLM Prompt Engineering 132

AWS Machine Learning Blog

MAY 21, 2024

However, when the article is complete, supporting information and metadata must be defined, such as an article summary, categories, tags, and related articles. While these tasks can feel like a chore, they are critical to search engine optimization (SEO) and therefore the audience reach of the article.

Generative AI 138

Generative AI Prompt Engineering Prompt Engineer Automation 138

IBM Journey to AI blog

JULY 17, 2023

offers a Prompt Lab, where users can interact with different prompts using prompt engineering on generative AI models for both zero-shot prompting and few-shot prompting. These Slate models are fine-tuned via Jupyter notebooks and APIs. To bridge the tuning gap, watsonx.ai

Machine Learning 186

Machine Learning Metadata Automation AI 186

Unite.AI

JANUARY 23, 2024

Prompting Rather than inputs and outputs, LLMs are controlled via prompts – contextual instructions that frame a task. Prompt engineering is crucial to steering LLMs effectively. Hybrid retrieval combines dense embeddings and sparse keyword metadata for improved recall.

Large Language Models 100

Large Language Models Prompt Engineer Prompt Engineering LLM 100

Unite.AI

JUNE 11, 2024

Experts can check hard drives, metadata, data packets, network access logs or email exchanges to find, collect, and process information. Unfortunately, they often hallucinate, especially when unintentional prompt engineering is involved. If algorithms were always accurate, the black box problem wouldn’t be an issue.

NLP 147

NLP Automation Algorithm AI 147

AWS Machine Learning Blog

JUNE 13, 2023

An AWS Glue crawler is scheduled to run at frequent intervals to extract metadata from databases and create table definitions in the AWS Glue Data Catalog. LangChain, a tool to work with LLMs and prompts, is used in Studio notebooks. However, these databases must have their metadata registered with the AWS Glue Data Catalog.

Generative AI 97

Generative AI Metadata LLM Large Language Models 97

Flipboard

NOVEMBER 24, 2023

By analyzing millions of metadata elements and data flows, Iris could make intelligent suggestions to users, democratizing data integration and allowing even those without a deep technical background to create complex workflows. Iris was designed to use machine learning (ML) algorithms to predict the next steps in building a data pipeline.

ETL 158

ETL Prompt Engineering Prompt Engineer Generative AI 158

Flipboard

DECEMBER 6, 2023

Given the right context, metadata, and instructions, a well-selected general purpose LLM can produce good-quality SQL as long as it has access to the right domain-specific context. Further performance optimization involved fine-tuning the query generation process using efficient prompt engineering techniques.

Chatbots 168

Chatbots LLM Prompt Engineering Prompt Engineer 168

AWS Machine Learning Blog

MAY 30, 2024

Additionally, VitechIQ includes metadata from the vector database (for example, document URLs) in the model’s output, providing users with source attribution and enhancing trust in the generated answers. Prompt engineering Prompt engineering is crucial for the knowledge retrieval system.

Chatbots 133

Chatbots Prompt Engineering Prompt Engineer Large Language Models 133

AWS Machine Learning Blog

APRIL 9, 2025

With Amazon Q Business Insights, administrators can diagnose potential issues such as unclear user prompts, misconfigured topics and guardrails, insufficient metadata boosters, or inadequate data source configurations. By visualizing this feedback, admins can pinpoint instances where users arent receiving satisfactory responses.

Generative AI 83

Generative AI Metadata Software Engineer Prompt Engineering 83

The MLOps Blog

JUNE 27, 2023

The platform also offers features for hyperparameter optimization, automating model training workflows, model management, prompt engineering, and no-code ML app development. When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

AWS Machine Learning Blog

SEPTEMBER 1, 2023

Strong domain knowledge for tuning, including prompt engineering, is required as well. Consumers – Users who interact with generative AI services from providers or fine-tuners by text prompting or a visual interface to complete desired actions. Only prompt engineering is necessary for better results.

Generative AI 130

Generative AI Prompt Engineering Prompt Engineer ML 130

Heartbeat

JANUARY 19, 2024

As prompt engineering is fundamentally different from training machine learning models, Comet has released a new SDK tailored for this use case comet-llm. In this article you will learn how to log the YOLOPandas prompts with comet-llm, keep track of the number of tokens used in USD($), and log your metadata.

LLM 52

LLM Metadata Prompt Engineer Prompt Engineering 52

AWS Machine Learning Blog

JULY 3, 2024

We use prompt engineering to send our summarization instructions to the LLM. Importantly, when performed, summarization should preserve as much article’s metadata as possible, such as the title, authors, date, etc. We can guide the LLM further with few-shot examples illustrating, for instance, the citation styles.

Generative AI 133

Generative AI LLM Large Language Models Machine Learning 133