Towards AI

SEPTEMBER 22, 2023

One example is prompt engineering. Prompt engineering has proved to be very useful. Some people foresaw the emergence of prompt engineer as a new title. Is this the future of the ML engineer? Let’s think about why prompt engineering has been developed.

Prompt Engineer 57

Prompt Engineer Prompt Engineering LLM ML 57

Heartbeat

OCTOBER 5, 2023

Feature Engineering and Model Experimentation MLOps: Involves improving ML performance through experiments and feature engineering. LLMOps: LLMs excel at learning from raw data, making feature engineering less relevant. The focus shifts towards prompt engineering and fine-tuning.

Large Language Models 52

Large Language Models DevOps Prompt Engineer Prompt Engineering 52

ODSC - Open Data Science

JANUARY 10, 2024

Takeaways include: The dangers of using post-hoc explainability methods as tools for decision-making, and where traditional ML falls short. How do we figure out what is causal and what isn’t, with a brief introduction to methods of structure learning and causal discovery?

Large Language Models 52

Large Language Models LLM Deep Learning ML 52

Heartbeat

JULY 17, 2023

Comet allows ML engineers to track these metrics in real-time and visualize their performance using interactive dashboards. We’re committed to supporting and inspiring developers and engineers from all walks of life. Common metrics for classification tasks include accuracy, precision, recall, F1 score, and confusion matrix.

Computer Vision 52

Computer Vision Auto-classification Deep Learning Machine Learning 52

AWS Machine Learning Blog

MAY 9, 2024

Responsible AI Organizations can navigate potential ethical dilemmas associated with generative AI by incorporating considerations such as fairness, explainability, privacy and security, robustness, governance, and transparency. AI/ML Specialist Solutions Architect at AWS, based in Virginia, US. Vikram Elango is a Sr.

ML 105

ML Generative AI AI AI 105

Snorkel AI

JUNE 9, 2023

Among other topics, he highlighted how visual prompts and parameter-efficient models enable rapid iteration for improved data quality and model performance. He also described a near future where large companies will augment the performance of their finance and tax professionals with large language models, co-pilots, and AI agents.

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52

Snorkel AI

JUNE 9, 2023

Among other topics, he highlighted how visual prompts and parameter-efficient models enable rapid iteration for improved data quality and model performance. He also described a near future where large companies will augment the performance of their finance and tax professionals with large language models, co-pilots, and AI agents.

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52