Towards AI

FEBRUARY 20, 2025

But who exactly is an LLM developer, and how are they different from software developers and ML engineers? Machine learning engineers specialize in training models from scratch and deploying them at scale. Well, briefly, software developers focus on building traditional applications using explicit code.

Neural Network 79

Neural Network Explainability LLM Software Development 79

AWS Machine Learning Blog

JULY 24, 2024

Large language models (LLMs) have achieved remarkable success in various natural language processing (NLP) tasks, but they may not always generalize well to specific domains or tasks. You can customize the model using prompt engineering, Retrieval Augmented Generation (RAG), or fine-tuning.

LLM 121

LLM ML Generative AI Machine Learning 121

AWS Machine Learning Blog

FEBRUARY 21, 2025

The concept of a compound AI system enables data scientists and ML engineers to design sophisticated generative AI systems consisting of multiple models and components. Yunfei has a PhD in Electronic and Electrical Engineering. His area of research is all things natural language (like NLP, NLU, and NLG).

LLM 77

LLM AI AI Data Scientist 77

ODSC - Open Data Science

NOVEMBER 25, 2024

We had bigger sessions on getting started with machine learning or SQL, up to advanced topics in NLP, and of course, plenty related to large language models and generative AI. Top Sessions With sessions both online and in-person in South San Francisco, there was something for everyone at ODSC East.

Data Science 52

Data Science AI Engineer Machine Learning Prompt Engineer 52

Snorkel AI

MAY 4, 2023

Enterprise use cases: predictive AI, generative AI, NLP, computer vision, conversational AI. AI development stack: AutoML, ML frameworks, no-code/low-code development. Join us on June 7-8 to learn how to use your data to build your AI moat at The Future of Data-Centric AI 2023.

Computer Vision 52

Computer Vision Large Language Models Natural Language Processing AI 52

Snorkel AI

MAY 4, 2023

Enterprise use cases: predictive AI, generative AI, NLP, computer vision, conversational AI. AI development stack: AutoML, ML frameworks, no-code/low-code development. Join us on June 7-8 to learn how to use your data to build your AI moat at The Future of Data-Centric AI 2023.

Computer Vision 52

Computer Vision Large Language Models Natural Language Processing AI 52

Heartbeat

OCTOBER 5, 2023

These LLMs can generate human-like text, understand context, and perform various Natural Language Processing (NLP) tasks. Feature Engineering and Model Experimentation MLOps: Involves improving ML performance through experiments and feature engineering. The focus shifts towards prompt engineering and fine-tuning.

Large Language Models 52

Large Language Models DevOps Machine Learning Prompt Engineer 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

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

AWS Machine Learning Blog

MARCH 1, 2023

This blog post details the implementation of generative AI-assisted fashion online styling using text prompts. Machine learning (ML) engineers can fine-tune and deploy text-to-semantic-segmentation and in-painting models based on pre-trained CLIPSeq and Stable Diffusion with Amazon SageMaker.

Generative AI 93

Generative AI AI AI Auto-classification 93

AWS Machine Learning Blog

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Generative AI 135

Generative AI ML LLM AI 135

AWS Machine Learning Blog

DECEMBER 17, 2024

Amazon SageMaker helps data scientists and machine learning (ML) engineers build FMs from scratch, evaluate and customize FMs with advanced techniques, and deploy FMs with fine-grain controls for generative AI use cases that have stringent requirements on accuracy, latency, and cost. Of the six challenges, the LLM met only one.

LLM 89

LLM Prompt Engineer Prompt Engineering Generative AI 89