AI

The Moat for Enterprise AI is RAG + Fine Tuning — Here’s Why | by Barr Moses | Nov, 2023

To succeed with generative AI at scale, we need to give LLMs the diligence they deserve. Enter RAG and fine

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Philosophy and Data Science —Thinking deeply about data | by Jarom Hulet | Nov, 2023

Part 1 : Determinism Photo by ‘HH’ on Pexels.com Data science is a very technical, in-the-weeds type of work. We

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Create your Vision Chat Assistant with LLaVA | by Gabriele Sgroi | Nov, 2023

Get started with multimodal conversational models using the open-source LLaVA model. Photo by Izabela Kraus on Unsplash Large Language Models

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Teaching is Hard: How to Train Small Models and Outperforming Large Counterparts | by Salvatore Raieli | Nov, 2023

|MODEL DISTILLATION|AI|LARGE LANGUAGE MODELS| Distilling the knowledge of a large model is complex but a new method shows incredible performances

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Demystifying Dependence and Why it Is Important in Causal Inference and Causal Validation | by Graham Harrison | Nov, 2023

A step-by-step guide in understanding the concept of dependence and how to apply it to validate directed acyclic graphs using

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Customer Lifetime Value Prediction with PyMC-Marketing | by Hajime Takeda | Nov, 2023

Explore the Depths of Buy-till-You-Die (BTYD) Modeling and Practical Coding Techniques Photo by Boxed Water Is Better on Unsplash TL;

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Top 5 LiveAgent Alternatives for Social Customer Service in 2023

Companies reply to social media users more rapidly, ~60% of them do so in less than 15 minutes.1Social customer service

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How to Convert Any Text Into a Graph of Concepts | by Rahul Nayak | Nov, 2023

If you were to ask GPT, how to create a graph of knowledge from a given text? it may suggest

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Using Polars Plugins for a 14x Speed Boost with Rust | by Nelson Griffiths | Nov, 2023

Achieving high speed outside the native Polars library Generated by DALL-E 3 Polars is taking the world by storm thanks

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