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. As LLMs become integral to AI applications, ethical considerations take center stage.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Responsible AI 52

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.

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Large Language Models Prompt Engineer Prompt Engineering LLM 130

Mlearning.ai

JULY 8, 2023

Add Responsible AI to LLM’s Add Abuse detection to LLM’s. Prompt Engineering — this is where figuring out what is the right prompt to use for the problem. Add monitoring and auditing code to log prompts and completion. Introduction Create ML Ops for LLM’s Build end to end development and deployment cycle.

Large Language Models 52

Large Language Models LLM Prompt Engineer Prompt Engineering 52

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.

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Machine Learning Metadata Data Quality Data Scientist 134

Snorkel AI

MARCH 2, 2023

The responsible AI measures pertaining to safety and misuse and robustness are elements that need to be additionally taken into consideration. This goes into the model risk management in analyzing the metadata around the model, whether it’s fit for purpose with automated or human-in-the-loop capabilities.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

Snorkel AI

MARCH 2, 2023

The responsible AI measures pertaining to safety and misuse and robustness are elements that need to be additionally taken into consideration. This goes into the model risk management in analyzing the metadata around the model, whether it’s fit for purpose with automated or human-in-the-loop capabilities.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

AWS Machine Learning Blog

NOVEMBER 29, 2023

An evaluation is a task used to measure the quality and responsibility of output of an LLM or generative AI service. Furthermore, evaluating LLMs can also help mitigating security risks, particularly in the context of prompt data tampering. The following diagram illustrates this architecture.

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LLM Data Scientist Algorithm Generative AI 83