Can AI Learn by Repeating Itself?
Author(s): Arthur Lagacherie Originally published on Towards AI. Recursion could reshape how LLMs scale. A major problem with current LLM architectures is the difficulty of adapting their computational power to match the performance requirements of specific tasks (low performance requirements should use …
Can Recursion Make LLMs Smarter and More Efficient?
Author(s): Arthur Lagacherie Originally published on Towards AI. Recursion could reshape how LLMs scale. A major problem with current LLM architectures is the difficulty of adapting their computational power to match the performance requirements of specific tasks (low performance requirements should use …
Implementing a Large Concept Model with Pytorch
Author(s): Arthur Lagacherie Originally published on Towards AI. Implement step by step the recent Meta’s model: Large Concept Model A few days ago, a research paper titled “Language Modeling in a Sentence Representation Space”. They introduced a new type of model, the …
Can a LLM beat you At Chess?
Author(s): Arthur Lagacherie Originally published on Towards AI. We can use Outlines to answer this question. Recently, I discovered a Python package called Outlines, which provides a versatile way to leverage Large Language Models (LLMs) for tasks like: Classification Named Entity Extraction …
Building Reflection-Gemma-2–2b
Author(s): Arthur Lagacherie Originally published on Towards AI. image original from google blog mofied with Adobe Firefly In the world of artificial intelligence, the ability of models to think and correct their mistakes is crucial. This article explores how Gemma 2–2b, can …
Create an Instruction Dataset From Scratch
Author(s): Arthur Lagacherie Originally published on Towards AI. image by me My goal today is to create an instruction dataset from Wikipedia texts. But first, what is an Instruct dataset.? An Instruct dataset is a dataset for LLMs fine-tuning, after its pre-training, …
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