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Oct 21, 2024
RAT — Retrieval Augmented Thoughts
RAT — Retrieval Augmented Thoughts Synergising RAG With Sophisticated Long-Horizon Reasoning
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
Performing Multiple LLM Calls & Voting On The Best Result Are Subject To Scaling Laws
Performing Multiple LLM Calls & Voting On The Best Result Are Subject To Scaling Laws More LLM calls enhance performance on easy queries but diminish it on hard ones. So what scaling laws can be discovered & leveraged? What is the optimal number of LLM Calls?
Cobus Greyling
Cobus Greyling
Oct 14, 2024
Exploring the Purpose, Power & Potential of Small Language Models (SLMs)
Exploring the Purpose, Power & Potential of Small Language Models (SLMs) A few months ago Microsoft open-sourced the Orca Small Language Model. In this article you will find some background and practical ways of experimenting with SLMs.
Cobus Greyling
Cobus Greyling
Oct 10, 2024
Get Started Using an Order Status Template With a Shopify Integration
Integrate Shopify order status tracking with Kore.ai to automate updates, reduce inquiries, and enhance customer experience. Follow our step-by-step guide.
Alenis Fiallo
Alenis Fiallo
Oct 4, 2024
Self-Reflective Retrieval-Augmented Generation (SELF-RAG)
The ideal is for Generative AI implementations to deliver factual, verified & quality responses. SELF-RAG was created in an attempt to solve for this.
Cobus Greyling
Cobus Greyling
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