2024-06-22 2024-06-22 , online online, 1,290 € zzgl. MwSt. Edward Bray https://www.forum-institut.de/seminar/24071130-generative-ai-incl-chatgpt-for-patent-practitioners/referenten/24/24_07/24071130-course-generative-ai-for-patent-practitioners_bray-edward.jpg Generative AI (incl. ChatGPT) for Patent Practitioners

Join our one-day course and discover how to revolutionize your patent work with the power of generative AI. This immersive workshop offers patent attorneys, counsels, and engineers a unique opportunity to gain hands-on experience with generative AI.

Topics
  • The potential of generative AI for daily patent work
  • Generative AI in patent search
  • Improved portfolio management with generative AI
  • Generative AI in patent drafting and prosecution
  • Invalidation with generative AI
  • How to implement generative AI in day-to-day patent work


Who should attend
Do you work as a patent attorney, patent counsel or patent engineer and seek to integrate generative AI into your daily work? Then this is the right course for you.
Aims and objectives
This new course focused on generative AI for patent attorneys, counsels, and engineers is designed to offer an in-depth exploration of generative AI applications specifically in the realm of patents. This specialized program is intended to equip professionals with a targeted understanding of how generative AI can be utilized to innovate and improve various aspects of patent law and practice.

During the course, participants will delve into the various use cases of generative AI in patent-related tasks. Key areas of focus will include how generative AI can enhance the efficiency and accuracy of patent searches, assist in the drafting and analysis of patent applications, and offer innovative solutions to complex technical queries in the patent field. The curriculum is structured to provide practical, hands-on experience, ensuring that attendees gain not only theoretical knowledge but also the skills to apply generative AI directly in their patent work.

This intensive one-day course aims to equip participants with the knowledge and skills needed to effectively use ChatGPT in their patent practices. By the end of the course, attendees will be well-prepared to integrate ChatGPT into their workflow, leveraging its capabilities to stay at the forefront of technological advancement in the patent sector.
Your benefit

  • Attendees will leave with improved efficiency and precision in handling patent tasks, having learned to effectively utilize generative AI for searches, drafting, and analysis.
  • They will gain practical experience in applying generative AI to real-world patent issues, equipping them with the ability to tackle complex challenges using AI.
  • Participants will develop specialized skills in integrating generative AI into their patent practices, preparing them for the evolving landscape of AI in patent law.

Course - Generative AI for Patent Practitioners

Generative AI (incl. ChatGPT) for Patent Practitioners

Benefits
  • Specialized skills in using generative AI for patent works
  • Hands-on experience in applying generative AI to real-world patent scenarios
  • Presented by an AI patent expert

Webcode 24071130

Jetzt buchen

JETZT Buchen

Referent


Alles auf einen Blick

Termin

04/07/2024

04/07/2024

Zeitraum

09:00 to 17:00 CET

09:00 to 17:00 CET
Veranstaltungsort

online

online

Gebühr
Your contact

Jean-Claude Alexandre Ho, LL.M.
Lawyer, Conference Manager

+49 6221 500-675
jc.alexandreho@forum-institut.de

Details

Join our one-day course and discover how to revolutionize your patent work with the power of generative AI. This immersive workshop offers patent attorneys, counsels, and engineers a unique opportunity to gain hands-on experience with generative AI.

Topics

  • The potential of generative AI for daily patent work
  • Generative AI in patent search
  • Improved portfolio management with generative AI
  • Generative AI in patent drafting and prosecution
  • Invalidation with generative AI
  • How to implement generative AI in day-to-day patent work


Who should attend
Do you work as a patent attorney, patent counsel or patent engineer and seek to integrate generative AI into your daily work? Then this is the right course for you.

Aims and objectives

This new course focused on generative AI for patent attorneys, counsels, and engineers is designed to offer an in-depth exploration of generative AI applications specifically in the realm of patents. This specialized program is intended to equip professionals with a targeted understanding of how generative AI can be utilized to innovate and improve various aspects of patent law and practice.

During the course, participants will delve into the various use cases of generative AI in patent-related tasks. Key areas of focus will include how generative AI can enhance the efficiency and accuracy of patent searches, assist in the drafting and analysis of patent applications, and offer innovative solutions to complex technical queries in the patent field. The curriculum is structured to provide practical, hands-on experience, ensuring that attendees gain not only theoretical knowledge but also the skills to apply generative AI directly in their patent work.

This intensive one-day course aims to equip participants with the knowledge and skills needed to effectively use ChatGPT in their patent practices. By the end of the course, attendees will be well-prepared to integrate ChatGPT into their workflow, leveraging its capabilities to stay at the forefront of technological advancement in the patent sector.

Your benefit

  • Attendees will leave with improved efficiency and precision in handling patent tasks, having learned to effectively utilize generative AI for searches, drafting, and analysis.
  • They will gain practical experience in applying generative AI to real-world patent issues, equipping them with the ability to tackle complex challenges using AI.
  • Participants will develop specialized skills in integrating generative AI into their patent practices, preparing them for the evolving landscape of AI in patent law.

Detailed programme

09:00 to 17:00 CET

Introduction to Generative AI
  • Overview of generative AI
  • What is a LLM (large language model)
  • Open source vs closed source LLMs
  • Local vs cloud deployment of LLMs
  • Finetuning

Basic Generative AI: Prompting
  • Prompt engineering for common patent tasks

Coffee break

Advanced Generative AI: Coding for Patent Research
  • Use case: Processing FTO search data dumps
  • Practical exercise: Filtering search results with generative AI

Advanced Generative AI: Coding for Portfolio Management
  • Use case: Portfolio taxonomy generation
  • Practical exercise: Semantic portfolio mapping

Advanced Generative AI: Coding for Patent Drafting
  • Use case: Streamlining patent drafting
  • Practical exercise: Drafting patent claims and descriptions using LLMs

Lunch break

Introduction to Embeddings and RAG
  • What is an embedding model
  • What is retrieval augmented generation (RAG)

Advanced Generative AI: Coding for Patent Prosecution
  • Use case: Streamlining prosecution
  • Practical exercise: Feature charts and office action response generation

Coffee break


Advanced Generative AI: Coding for Patent Invalidation
  • Use case: Third party observations
  • Practical exercise: Invalidity argument generation

Wrap-up and Q&A Session
  • Open discussion: Addressing questions and sharing experiences
  • Summary: Key takeaways and how to implement generative AI in day-to-day patent work

Further information

Course materials

The course materials consist of the presentation slides as well as jupyter notebooks (with instructions on how to use them) that will allow attendees to run basic LLM code in their own environments (provided they have the compute resources). In terms of the specific case-study examples, Ed will be demonstrating the specific case studies but, other than the basic jupyter notebooks, there will not be scripts/code/models for attendees to copy directly. But Ed I will be giving enough information away so that a user who knows how to code should be able to build a similar data flow (attendees' own models still need to be trained).

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