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[ad_1] Language Model (LLM) is not necessarily the final step in productionizing your Generative AI application. An often forgotten, yet ...
Read more When Predictors Collide: Mastering VIF in Multicollinear Regression
[ad_1] In models, the independent variables must be not or only slightly dependent on each other, i.e. that they are ...
Read more Attractors in Neural Network Circuits: Beauty and Chaos
[ad_1] The state space of the first two neuron activations over time follows an attractor. is one thing in common ...
Read more Build Your Own AI Coding Assistant in JupyterLab with Ollama and Hugging Face
[ad_1] Jupyter AI brings generative AI capabilities right into the interface. Having a local AI assistant ensures privacy, reduces latency, ...
Read more R.E.D.: Scaling Text Classification with Expert Delegation
[ad_1] With the new age of problem-solving augmented by Large Language Models (LLMs), only a handful of problems remain that ...
Read more Evolving Product Operating Models in the Age of AI
[ad_1] previous article on organizing for AI (link), we looked at how the interplay between three key dimensions — ownership ...
Read more Google’s Data Science Agent: Can It Really Do Your Job?
[ad_1] On March 3rd, Google officially rolled out its Data Science Agent to most Colab users for free. This is ...
Read more One Turn After Another | Towards Data Science
[ad_1] While some games, like rock-paper-scissors, only work if all payers decide on their actions simultaneously, other games, like chess ...
Read more Mastering Prompt Engineering with Functional Testing: A Systematic Guide to Reliable LLM Outputs
[ad_1] Creating efficient prompts for large language models often starts as a simple task… but it doesn’t always stay that ...
Read more ![Use Cases & Examples [’25]](https://i2.wp.com/research.aimultiple.com/wp-content/uploads/2025/04/sully-1200x630.png?w=150&resize=150,150&ssl=1 "Use Cases & Examples [’25]")
