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Nov 1, 2024
Adaptive-RAG
Adaptive-RAG It is evident that there needs to be a balance between query time, quality in terms of performance, but also efficiency.
Cobus Greyling
Cobus Greyling
Oct 30, 2024
Retrieval Augmented Fine-Tuning (RAFT)
Retrieval Augmented Fine-Tuning (RAFT) Adapting Language Model to Domain Specific RAG
Cobus Greyling
Cobus Greyling
Oct 30, 2024
Large Language Models Excel At In-Context Learning (ICL)
Large Language Models Excel At In-Context Learning (ICL) Recent studies have shown that, when supplied with a contextual reference at Inference, LLMs opt to make use of the contextual data as opposed to model training data.
Cobus Greyling
Cobus Greyling
Oct 27, 2024
DRAGIN: Dynamic RAG Based On Real-Time Information Needs Of LLMs
DRAGIN: Dynamic RAG Based On Real-Time Information Needs Of LLMs A Recent study introduced a new approach to RAG but more importantly the study highlighted a number of shortcomings of RAG as we know it.
Cobus Greyling
Cobus Greyling
Oct 24, 2024
A Study Comparing RAG & Fine-Tuning For Knowledge Base Use-Cases
A New Study Compares RAG & Fine-Tuning For Knowledge Base Use-Cases This study illustrates again that the use-case informs & dictates the technology.
Cobus Greyling
Cobus Greyling
Oct 22, 2024
Get Started Using a Lead Capture Template with a HubSpot Integration
Revolutionize lead capture with Kore.ai's AI chatbot in HubSpot. Automate collection, enhance segmentation, and gain real-time insights to boost sales.
Alenis Fiallo
Alenis Fiallo
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