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Oct 27, 2024
DRAGIN: Dynamic RAG based on real-time information needs of LLMs
Learn about DRAGIN, a lightweight framework for dynamic RAG that enables LLMs to retrieve information based on real-time needs without further training.
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
Oct 21, 2024
RAT — Retrieval Augmented Thoughts
Boost LLM reasoning with RAT — a smart blend of retrieval + chain-of-thought to improve accuracy.
Cobus Greyling
Cobus Greyling
Oct 16, 2024
Chain-of-Instructions (CoI) fine-tuning
This approach draws inspiration from Chain-of-Thought (CoT) prompting which generates step-by-step rationales from LLMs.
Cobus Greyling
Cobus Greyling
Oct 15, 2024
Evaluating LLM voting under scaling laws
Explore how performing multiple LLM calls and voting on results impacts output quality and scaling laws in large language model applications.
Cobus Greyling
Cobus Greyling
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