In-person Workshop: Build and deploy LLM-based applications

LLMs have gained immense popularity in recent months. An entirely new ecosystem of pre-trained models and tools has emerged that streamline the process of building LLM-based applications.

Join us for this in-person workshop in San Francisco, CA to experience building scalable LLM-based applications hands-on! Coffee and snacks included.

Key Takeaways

1. Use libraries like Ray, HuggingFace, and LangChain to build LLM-based applications based on open-source code, models, and data.

2. Learn about scaling LLM fine-tuning and inference, along with trade-offs.

3. Use embedding models and vector stores.

4. Learn about using modern deployment tools to run your application online and continually improve it.

Audience

1. This workshop is for LLM-based application builders as well as ML practitioners interested in how to build LLM-based applications using open source tools.

2. Basic understanding of emerging LLM trends is not necessary, but will help get more out of the workshop.

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   blog posts are helpful background material.

Resources

1. GitHub repository with relevant resources including notebooks, setup instructions, bonus resources, and a README for an overview.

2. Access to the GPU-based compute cluster for the duration of the training to leverage the full potential of LLMs.

3. Exclusive only to the workshop participants: office hours the week after the workshop for deeper discussion of the individual application ideas.