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[] Loft benchmark to evaluate LCLM performance
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Classroom Contents
Exploring Long Context Language Models - MLOps Reading Group August 2024
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- 1 [] LCLMs are language models with a larger context
- 2 [] Loft benchmark to evaluate LCLM performance
- 3 [] Evaluation of multimodal data for SQL task
- 4 [] Efficiency in computational analysis and semantic search
- 5 [] Papers discuss the potential shift to in-context learning
- 6 [] Understanding and utilizing multi-hop in LLM applications
- 7 [] Chain of thought improves model reasoning and performance
- 8 [] Limited improvement; fancy analysis, but room for growth
- 9 [] Query improvement leads to better performance accuracy
- 10 [] Pause, listen, share, question, gather insights, react
- 11 [] Importance of considering evaluation techniques in research
- 12 [] Different conclusions have varying levels of defensibility
- 13 [] Explore LLMs for product-market fit and optimization
- 14 [] Celebrating pioneers and acknowledging those still learning
- 15 [] Link to Slack channel for questions and suggestions
- 16 [] Wrap up
