Remove Large Language Models Remove ML Engineer Remove Prompt Engineer
article thumbnail

Top Large Language Models LLMs Courses

Marktechpost

Large Language Models (LLMs) have revolutionized AI with their ability to understand and generate human-like text. Learning about LLMs is essential to harness their potential for solving complex language tasks and staying ahead in the evolving AI landscape.

article thumbnail

Top Generative Artificial Intelligence AI Courses in 2024

Marktechpost

Introduction to Generative AI Learning Path Specialization This course offers a comprehensive introduction to generative AI, covering large language models (LLMs), their applications, and ethical considerations. The learning path comprises three courses: Generative AI, Large Language Models, and Responsible AI.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Top Generative Artificial Intelligence AI Courses in 2024

Marktechpost

Introduction to Generative AI Learning Path Specialization This course offers a comprehensive introduction to generative AI, covering large language models (LLMs), their applications, and ethical considerations. The learning path comprises three courses: Generative AI, Large Language Models, and Responsible AI.

article thumbnail

Top Artificial Intelligence AI Courses from Google

Marktechpost

Introduction to AI and Machine Learning on Google Cloud This course introduces Google Cloud’s AI and ML offerings for predictive and generative projects, covering technologies, products, and tools across the data-to-AI lifecycle. It also includes guidance on using Google Tools to develop your own Generative AI applications.

article thumbnail

? Guest Post: How to Build the Right Team for Generative AI*

TheSequence

Generative AI and Large Language Models (LLMs) are new to most companies. If you are an engineering leader building Gen AI applications, it can be hard to know what skills and types of people are needed. At the same time, the capabilities of AI models have grown. Much less sophistication is needed to use them.

article thumbnail

Excited To Bring You the E-book Version of “Building LLMs for Production”

Towards AI

The principles of CNNs and early vision transformers are still important as a good background for ML engineers, even though they are much less popular nowadays. The book focuses on adapting large language models (LLMs) to specific use cases by leveraging Prompt Engineering, Fine-Tuning, and Retrieval Augmented Generation (RAG).

article thumbnail

AI Engineer’s Toolkit

Towards AI

The broad range of topics covered with easy to understand examples will help any readers, and developers be in the know of the theory behind LLMs, prompt engineering, RAG, orchestration platforms and more. This book provides practical insights and real-world applications of, inter alia, RAG systems and prompt engineering.