AI Agents and Data Integration with GPT and LLaMa with Jerry Liu - #628
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
How to Feed Personal Data Into a Language Model
There are two modes of inserting knowledge into a language model: pre-processing and identifying the data it needs or using tools like embeddings and vector databases. Performing gradient descent on top of data prevents the language model from memorizing data. However, fine-tuning and distillation techniques are not easily accessible to end users. Alternatively, a pre-trained model can be augmented with a retrieval model, such as LAMA index, which combines vector databases and language models to surface the best context for a given task.
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