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Practical AI: Machine Learning, Data Science, LLM
Data augmentation with LlamaIndex
May 23, 2023
44:52
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Quick takeaways
- Llama Index provides tools and indices for integrating large language models (LLMs) with external data sources, enabling users to leverage the models' capabilities for answering questions and performing tasks on the data.
- Llama Index offers evaluation modules that leverage the language model itself to evaluate responses, reducing the need for ground truth labels and saving time and cost associated with labeling large datasets.
Deep dives
Llama Index: Connecting Language Models with External Data
Llama Index is a tool that enables the connection of large language models (LLMs) with external data sources. LLMs have the capability to comprehend and process unstructured text and natural language, making them useful for a variety of tasks. By integrating LLMs with external data, users can leverage the language models' abilities to answer questions, generate summaries, and perform various tasks on the data. Llama Index provides a set of tools and indices to facilitate the incorporation of external data into LLM applications. It offers data ingestion capabilities to load data from different sources, indexing to define structure over the data, and query interfaces to retrieve and interact with the data. Llama Index supports various types of queries, including fact-based question lookup, summarization, structured queries, compare and contrast queries, and temporal queries. The tool also provides evaluation modules to assess the performance of LLM-based queries, enabling users to evaluate the output without requiring ground truth labels.
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