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Language as a universal learning machine
Language as a universal learning machine
Saying is believing. Seeing is hallucinating.
Dusko Pavlovic
May 22
Small Language Models: Using 3.8B Phi-3 and 8B Llama-3 Models on a PC and Raspberry Pi
Small Language Models: Using 3.8B Phi-3 and 8B Llama-3 Models on a PC and Raspberry Pi
Testing the models with LlamaCpp and ONNX
Dmitrii Eliuseev
May 22
Latest
Reinforcement Learning From Scratch: Deep Q-Networks
Reinforcement Learning From Scratch: Deep Q-Networks
Teaching a shuttle to land on the moon using Deep Q-Networks in Python. A mathematical deep dive into Reinforcement Learning.
Cristian Leo
May 22
Turn Your Python Function into a Decorator with One Line of Code
Turn Your Python Function into a Decorator with One Line of Code
A new way to write shorter, clearer, and more readable Python decorators that also act as a context manager
Mike Huls
May 22
Reinforcement Learning, Part 3: Monte Carlo Methods
Reinforcement Learning, Part 3: Monte Carlo Methods
From casinos to AI: unveiling the power of Monte Carlo methods in complex environments
Vyacheslav Efimov
May 22
Platonic Representation: Are AI Deep Network Models Converging?
Platonic Representation: Are AI Deep Network Models Converging?
Are Artificial Intelligence models evolving towards a unified representation of reality? The Platonic Representation Hypothesis says yes!
Hesam Sheikh
May 22
How to apply RLS based on multiple columns in Power BI
How to apply RLS based on multiple columns in Power BI
Usually, Data Access with RLS is based on Data from one column. But what when Data access must be controlled by multiple columns?
Salvatore Cagliari
May 22
From Data to Dashboard: Visualizing the Ancient Maritime Silk Road with Dash Leaflet and SeaRoute…
From Data to Dashboard: Visualizing the Ancient Maritime Silk Road with Dash Leaflet and SeaRoute…
Build an interactive map visualization displaying the shortest path between two points at sea within the Python Dash Framework
Maria Mouschoutzi, PhD
May 22
Analyzing Geo-based Campaigns with Synthetic Control
Analyzing Geo-based Campaigns with Synthetic Control
Using Meta’s GeoLift Library
Mandy Liu
May 22
Mastering K-Means Clustering
Mastering K-Means Clustering
Implement the K-Means algorithm from scratch with this step-by-step Python tutorial
Marcus Sena
May 22
Self-attentive sentence embedding for the recommendation system
Self-attentive sentence embedding for the recommendation system
What is self-attentive embedding, and how do we use it in recommendation systems?
Bào Bùi
May 22
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