Name: Towards AI Legal Name: Towards AI, Inc. Description: Towards AI is the world's leading artificial intelligence (AI) and technology publication. Read by thought-leaders and decision-makers around the world. Phone Number: +1-650-246-9381 Email: [email protected]
228 Park Avenue South New York, NY 10003 United States
Website: Publisher: https://towardsai.net/#publisher Diversity Policy: https://towardsai.net/about Ethics Policy: https://towardsai.net/about Masthead: https://towardsai.net/about
Name: Towards AI Legal Name: Towards AI, Inc. Description: Towards AI is the world's leading artificial intelligence (AI) and technology publication. Founders: Roberto Iriondo, , Job Title: Co-founder and Advisor Works for: Towards AI, Inc. Follow Roberto: X, LinkedIn, GitHub, Google Scholar, Towards AI Profile, Medium, ML@CMU, FreeCodeCamp, Crunchbase, Bloomberg, Roberto Iriondo, Generative AI Lab, Generative AI Lab Denis Piffaretti, Job Title: Co-founder Works for: Towards AI, Inc. Louie Peters, Job Title: Co-founder Works for: Towards AI, Inc. Louis-François Bouchard, Job Title: Co-founder Works for: Towards AI, Inc. Cover:
Towards AI Cover
Logo:
Towards AI Logo
Areas Served: Worldwide Alternate Name: Towards AI, Inc. Alternate Name: Towards AI Co. Alternate Name: towards ai Alternate Name: towardsai Alternate Name: towards.ai Alternate Name: tai Alternate Name: toward ai Alternate Name: toward.ai Alternate Name: Towards AI, Inc. Alternate Name: towardsai.net Alternate Name: pub.towardsai.net
5 stars – based on 497 reviews

Frequently Used, Contextual References

TODO: Remember to copy unique IDs whenever it needs used. i.e., URL: 304b2e42315e

Resources

Take our 85+ lesson From Beginner to Advanced LLM Developer Certification: From choosing a project to deploying a working product this is the most comprehensive and practical LLM course out there!

Publication

Latest   Machine Learning

Towards AI is Now on O’Reilly

Author(s): Towards AI Editorial Team

Originally published on Towards AI.

Towards AI has partnered with O’Reilly, a leader in digital learning and professional development, to make our latest resources more accessible. Through this partnership, our latest book, “Building LLMs for Production,” and two exclusive ‘shortcut’ video series on LLMs and Generative AI research are now available on the O’Reilly learning platform.

For over 45 years, O’Reilly has been one of the biggest platforms in providing comprehensive learning resources, offering exclusive live training, interactive learning experiences, certification programs, books, videos, and much more.

At Towards AI, we have always worked towards ‘making AI accessible’. Since 2019, we have provided an open platform for sharing information, educational content, and research on AI. In 2023, we wrote the hugely successful GenAI360: Foundational Model Certification three-course series (~30,000 students) and have many more B2C and B2B AI courses in the pipeline for both technical and non-technical audiences.

Partnering with O’Reilly is a big step in that direction. This is an ongoing partnership, and we will keep adding more advanced resources (like our advanced RAG course) to the O’Reilly learning platform.

Building LLMs for Production

Building LLMs for Production’ is now available on the O’Reilly learning platform to readers worldwide. This book is your roadmap for building production-ready applications using LLMs. It is an essential toolkit for AI engineers to build reliable real-world LLM applications and includes fundamental AI & LLM concepts, many Colab notebooks, hands-on projects, community access, and more.

“This is the most comprehensive textbook to date on building LLM applications — all essential topics in an AI Engineer’s toolkit.” — Jerry Liu, Co-founder and CEO of LlamaIndex.

If you’re an O’Reilly subscriber, you can read the book for free or sign up for a 10-day free trial to get access!

If you are like us and prefer a physical book, you can also find it as a paperback or high-quality colored hardcover on Amazon.

Introducing Our ‘Shortcut’ Video Series

We are also excited to introduce two new ‘shortcut’ video series designed to provide concise and insightful introductions to some of the most important topics in AI today.

The first shortcut series focuses on LLM techniques, and the second on new Generative AI research papers. Both will consist of ~10-minute introductory videos that (1) cover the latest approaches and techniques related to LLMs and (2) explain papers related to Generative AI.

Series 1: LLM Papers on the Latest Research and Techniques

This video series provides quick insights into new techniques and research, helping you better understand LLMs. They track essential, game-changing methods for leveraging LLMs, including Retrieval-Augmented Generation (RAG), Mixture of Experts (MoE), multimodal models, and advanced agentic systems.

Series 2: Generative AI Papers on the Latest Advancements

This ‘shortcut’ video playlist provides quick insights into generative AI. It includes topics such as vision models, sound and music generation, video synthesis, and sophisticated multimodal systems. It tracks the research in Generative AI with easy-to-understand explanations of the latest papers.

If you are an O’Reilly subscriber, you can watch the video series for free. Or sign up for a 10-day free trial to get access!

We’re incredibly excited about the new resources available on O’Reilly, and we hope you are too. With “Building LLMs for Production” and our exclusive video series, we believe there’s something valuable for everyone interested in AI. Whether you’re just starting out or looking to deepen your expertise, these resources are designed to help you grow. Dive in, explore, and see how you can take your AI skills to the next level. See you there!

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI

Feedback ↓