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Generating configuration management inputs (for CMDB)and changing management inputs based on release notes generated from Agility tool work items completed per release are key Generative AI leverage areas. It also requires some focused effort to improve the dataquality of data needed for tuning the models.
It offers a simple API for applying LLMs to up to 100 hours of audio data, even exposing endpoints for common use tasks It's smart enough to auto-generate subtitles, identify speakers, and transcribe audio in real time. Start Building LLM Apps on Voice Data Ready to take action on your spoken data?
Causes of hallucinations include insufficient training data, misalignment, attention limitations, and tokenizer issues. Effective mitigation strategies involve enhancing dataquality, alignment, information retrieval methods, and prompt engineering. In extreme cases, certain tokens can completely break an LLM.
SageMaker LMI containers includes model download optimization by using the s5cmd library to speed up the model download time and container startup times, and eventually speed up auto scaling on SageMaker. A complete example that illustrates the no-code option can be found in the following notebook.
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