For professionals ready to work with large language models, Ben presents an intensive training course about building applications with large language models

LLM Applications with LangChain

For those seeking to go beyond the fundamentals of large language models (LLMs) and dive into their practical application, Ben's training course unfurls over three interactive virtual mornings, delivering extensive theoretical understanding reinforced by immersive hands-on experiences.

LangChain is a new and powerful framework for building applications with large language models (LLMs). LangChain provides a wide range of tools and features for building powerful applications including question answering systems, chatbots, and software pair programming tools. 

Presently, no public courses are being listed, but for customized private courses within your organization, please feel free to get in touch. To stay updated regarding future courses, use our notification form.

The course will expose trainees to transformer models, diverse attention mechanisms, and training and fine-tuning processes. A special emphasis of this course lies in interacting privately with documents using ChatGPT, ensuring no data leaks. An exploration of legal implications alongside leveraging LLMs' capabilities while addressing inherent weaknesses forms a central part of the curriculum too.

Prospective trainees:

● Python programmers keen to understand the mechanics of deploying large language models

● Aspiring data scientists intrigued by how LangChain facilitates powerful applications like agents and personal assistants 

Course Highlights:

• Understanding the revolution brought about by the ChatGPT and GPT models by OpenAI in business communication, marketing, education, and information processing in general

● Comprehensive knowledge of LLMs, their functioning, capabilities, and limitations

● Understanding scalable deployment strategies powerful applications such as question answering systems, chatbots, and software pair programming tools, personal assistants, and how to integrate with other tools like web searches and code execution

● Mature understanding of ethical and accuracy considerations when using LangChain for deployment, including prompt engineering, evaluation strategies, training fine-tuning, and scaling

What You'll Gain Post Course Completion:

Upon completion of the course, participants can expect an amplified understanding of the workings of LLMs and how to optimize them using LangChain. Regardless of your present expertise or aspirations, this comprehensive course with Ben will undoubtedly propel you ahead in the emerging world of large language models.