In some ways, the method is akin to teaching an LLM how to respond using CoT prompting and then feeding the answers as part of the fine-tuning process. The next big significant break through is when we invent a way for LLMs to learn on-the-fly. /6
@abacusai
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LLM Self-Improvement Through Fine-Tuning Reduces Supervision Needs
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Having said that, the self-improvement of LLMs using fine-tuning can lead to better performance in various NLP tasks with less reliance on extensive supervision, which is a critical concern in the current state of LLM training. /7
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LLM Fine-Tuning with Self-Generated Solutions Improves Reasoning
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The LLM was then fine-tuned using these self-generated solutions as target outputs, which resulted in improved general reasoning ability of a 540B-parameter LLM across multiple benchmarks without requiring any ground truth labels /5
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LLMs Self-Improve Using Unlabeled Data Without Fine-Tuning
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Unlike humans, who are constantly learning and absorbing new things in real-time, LLMs need to be fine-tuned or prompted to learn something new. The paper "Large Language Models Can Self-Improve" demonstrates how LLM can self-improve with only unlabeled datasets. /3
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Pre-trained LLM generates high-confidence rationale-augmented answers
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They used a pre-trained LLM to generate "high-confidence" rationale-augmented answers for unlabeled questions using Chain-of-Thought prompting and self-consistency. /4
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Train Custom AI Models on Your Knowledge Base for Instant Answers
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You can do much better than using a generic AI model to solve your problems. Instead, you can train a model on your knowledge base and get answers to your questions within seconds using @abacusai
’s large language models. -
Scan AI Models for Data Leakage, Bias, and Performance Issues
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You can now scan your AI models to detect any of the following: • Data leakage
• Biases
• Performance issues
• Spurious correlations
• Overconfidence issues
• Underconfidence issues With only 4 lines of code! Check this open-source library: https://
github.com/Giskard-AI/gis
kard
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AI Model Adoption as Key to Success in Digital Era
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Humans who adopt and yield these AI models effectively are going to be true winners of this era Photo credit: Elena Glassman
Post credit: @bindureddy -
LLMs Dramatically Improve Coding Skills and Productivity
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LLMs can dramatically improve your coding skills This diagram illustrates how LLMs can help update your mental models of the data, revise your intent, and check results. In the next 3-5 years, LLMs are going 2-10x our understanding of the world and productivity.
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Free Webinar: LLM Models, Vector Stores, and Production Deployment
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FREE webinar on Sep 26! 9 AM – 11 AM PST You'll learn: • Data transformers
• Vector stores
• How to use LLM models
• How to chain data, user-code, and LLM modules together
• Deploy and monitor into production Register: https://
eventbrite.com/e/706850096667
?aff=oddtdtcreator
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