How-To


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Understanding Large Language Model Fine-Tuning (for Non-Programmers)

We asked a prominent data scientist to put together a concrete example of fine-tuning an LLM, aimed at people who are not computer programmers, with an emphasis on the implications for a business that wants to fine-tune a model.

Step-by-Step Instructions for Making a Custom AI Assistant Using OpenAI GPT

A data scientist explains the 15-step, no-coding-required workflow to create your own mini-ChatGPT. All you need is a Microsoft or Google Gmail account and a $20-per-month "Plus" subscription from OpenAI, which can be canceled at any time.

You Can Explore the New Gemini Large Language Model Even if You're Not a Data Scientist

It's hot, it's huge and it's here. Here's how to try it out yourself.

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Researchers Demonstrate an AI Language Generalization Breakthrough

Systematic generalization in humans -- the ability to more or less automatically use newly acquired words in new scenarios -- can now be mimicked by machine learning.

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Tools for Creating AI Assistants

AI assistants can work in specific problem domains including financial planning, sports wagering, medical vaccine creation and so on.

How To Create an AI Assistant

Our technical advisors use simplified terminology and omit low-level details for an understandable explanation that doesn't obscure the main ideas.

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Researchers Create a Computer Program that has Superhuman Skill at Stratego

Stratego is extraordinarily difficult for computers because the game has imperfect information (opponent pieces are hidden, which allows bluffing) and sheer size -- the number of possible positions vastly exceeds the number of atoms in the known universe.

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Researchers Suggest a 'Physics of AI' Approach to Study Deep Learning Systems Like ChatGPT and Copilot

The reality is that exactly how these fantastically complex AI systems work is not fully understood. This is not good.

Researchers Evaluate the Top Four AI Stories of 2022

Three AI experts weigh in on top developments ranging from playing master-level Diplomacy to predicting protein structures.

Researchers Explore Evolutionary Algorithms for Neural Network Training

Compared to standard neural network training techniques that are based on mathematical backpropagation, evolutionary training allows more complex neural architectures.

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