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.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Responsible AI 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. In particular, he highlighted his company’s Demonstrate-Search-Predict framework which abstracts away aspects of using foundation models, such as prompt engineering.

Data Scientist 52

Data Scientist Large Language Models Machine Learning AI 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. In particular, he highlighted his company’s Demonstrate-Search-Predict framework which abstracts away aspects of using foundation models, such as prompt engineering.

Data Scientist 52

Data Scientist Large Language Models Machine Learning AI 52

Snorkel AI

MARCH 2, 2023

Others, toward language completion and further downstream tasks. In media and gaming: designing game storylines, scripts, auto-generated blogs, articles and tweets, and grammar corrections and text formatting. Then comes prompt engineering. Prompt engineering cannot be thought of as a very simple matter.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

Snorkel AI

MARCH 2, 2023

Others, toward language completion and further downstream tasks. In media and gaming: designing game storylines, scripts, auto-generated blogs, articles and tweets, and grammar corrections and text formatting. Then comes prompt engineering. Prompt engineering cannot be thought of as a very simple matter.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 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. Can you see the complete model lineage with data/models/experiments used downstream? Is it fast and reliable enough for your workflow?

Machine Learning 134

Machine Learning Metadata Data Quality Data Scientist 134

AWS Machine Learning Blog

MARCH 19, 2024

Furthermore, the use of prompt engineering can notably enhance their performance. To additionally boost accuracy on tasks that involve reasoning, a self-consistency prompting approach has been suggested, which replaces greedy with stochastic decoding during language generation. split("/")[-1]}.out' decode("utf-8").strip().split("n")

Auto-complete 102

Auto-complete NLP Prompt Engineer Prompt Engineering 102