Unite.AI

NOVEMBER 20, 2024

These agents perform tasks ranging from customer support to software engineering, navigating intricate workflows that combine reasoning, tool use, and memory. The authors categorize traceable artifacts, propose key features for observability platforms, and address challenges like decision complexity and regulatory compliance.

LLM 182

LLM AI AI DevOps 182

Marktechpost

AUGUST 10, 2024

Large Language Models (LLMs) have significantly impacted software engineering, primarily in code generation and bug fixing. However, their application in requirement engineering, a crucial aspect of software development, remains underexplored. DBLP and arXiv databases were searched for studies from late 2023 to May 2024.

Software Engineer 111

Software Engineer LLM Large Language Models Categorization 111

AWS Machine Learning Blog

MAY 1, 2024

It allows you to retrieve data from sources beyond the foundation model, enhancing prompts by integrating contextually relevant retrieved data. You can use prompt engineering to prevent hallucination and make sure that the answer is grounded in the source documentations. He holds a Masters degree in Software Engineering.

Chatbots 121

Chatbots Automation Machine Learning DevOps 121

ODSC - Open Data Science

FEBRUARY 11, 2025

While machine learning engineers focus on building models, AI engineers often work with pre-trained foundation models, adapting them to specific use cases. This shift has made AI engineering more multidisciplinary, incorporating elements of data science, software engineering, and systemdesign.

AI Engineer 52

AI Engineer Machine Learning Software Engineer Prompt Engineer 52

ODSC - Open Data Science

JANUARY 7, 2025

Theyre looking for people who know all related skills, and have studied computer science and software engineering. As MLOps become more relevant to ML demand for strong software architecture skills will increase aswell. While knowing Python, R, and SQL is expected, youll need to go beyond that.

Data Scientist 40

Data Scientist Data Science Deep Learning Machine Learning 40

Flipboard

DECEMBER 6, 2023

Types of summarizations There are several techniques to summarize text, which are broadly categorized into two main approaches: extractive and abstractive summarization. Given their versatile nature, these models require specific task instructions provided through input text, a practice referred to as prompt engineering.

BERT 167

BERT Large Language Models Artificial Intelligence Artificial Intelligence 167

AWS Machine Learning Blog

NOVEMBER 25, 2024

The key to their success lay in the innovative application of prompt engineering techniques—a set of strategies designed to coax the best performance out of LLMs, especially important for cost effective models. By carefully crafting prompts, we can provide context and structure that helps mitigate this variability.

Prompt Engineer 93

Prompt Engineer Prompt Engineering Metadata Generative AI 93