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World Congress 2024 • Aug 20, 2024 • Session details

Unlocking the Power of AI: Accessible Language Model Tuning for All

Cedric Clyburn , @technicallylegare

Stop overpaying for massive, generic LLMs. Standard engineering teams can use InstructLab to locally fine-tune open-source models, drastically cutting inference costs without specialized data science expertise.

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#1 about 4 min

Moving beyond generalist models with local fine tuning

Adapting large language models for specific use cases addresses the limitations of generalist AI.

#2 about 3 min

Overcoming challenges and limitations of generative artificial intelligence

Knowledge cutoffs, lack of transparency, legal exposures, and deployment costs limit enterprise use of foundation models.

#3 about 5 min

Evaluating methods for improving large language model outputs

Prompt engineering, parameter efficient fine tuning, alignment tuning, and retrieval-augmented generation enhance model application performance.

#4 about 4 min

Selecting the appropriate foundation model for enterprise applications

Choosing appropriately sized and permissively licensed foundation models like Granite significantly reduces processing costs and deployment time.

#5 about 4 min

Simplifying open source model fine tuning with InstructLab

A community-driven project enables developers to contribute knowledge and skills to language models using simple YAML structures.

#6 about 9 min

Generating training data and fine tuning with InstructLab

Setting up a local taxonomy framework allows for synthetic data generation and parameter efficient model training.

#7 about 5 min

Integrating trained language models into enterprise Java applications

Serving a locally trained model within a Java web socket application provides tailored responses for specific business domains.

Matching moments

2:37 min

Understanding core parameters and mechanics of large language models

Julián Duque Julián Duque · World Congress 2025

2:00 min

Navigating the layers of the language model inference stack

Christin Pohl Christin Pohl · World Congress 2026 Europe

5:01 min

Leveraging large language models for code optimization and development

Stephan Gillich Stephan Gillich +3 · World Congress 2024

4:25 min

Overcoming AI hallucinations and restrictive content guardrails

Perf + AI

1:21 min

Cost considerations of fine-tuning large language models

Kevin Klues Kevin Klues

1:39 min

Balancing human-centric AI collaboration with environmental sustainability practices

Madalena Costa Madalena Costa · World Congress 2024

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