Donato Riccio

Newsletter

Chain-of-Thought Prompting: Not the Universal Solution We Thought

CoT - where AI models explain their reasoning step by step - has become the default approach for complex AI tasks. But new research reveals it might not be the silver bullet many thought it was.

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Why Size Matters in LLMs?

How the Number of Parameters Influences LLM Performance

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Rerank for Better RAG

Methods to enhance relevance and diversity in your retrievals

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Do We Have Enough Data to Train LLMs?

Training optimal Large Language Models

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A Language Model From 34 Years Ago

An overview of Statistical Language Models

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Optimize your RAG pt.1 - Data ingestion

Advanced data ingestion techniques for RAG

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The Future of Generative AI in 2024

Autonomous agents, AI music, new hardware, and more. Our predictions for 2024.

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Not all LLMs are born to be chatbots

What is instruction fine-tuning

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The End of RAG?

New architectures and models emerging

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Is MoE the next frontier for LLMs? Mixtral 8x7b and Mixture of Experts

Exploring the MoE architecture

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Understanding AI Text Made Me a Better Writer

Write better by analyzing ChatGPT’s bad writing

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Obsidian-3B: The Smallest Multimodal LLM

Can a 3B model compete with the giants?