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Garbage in, garbage out: Zero-shot detection of crime using Large Language Models

Exploring the frontier of AI, we delve into the concept of 'Garbage in, garbage out' in crime detection. Unveiling how Zero-shot learning via Large Language Models could revolutionize our approach, yet reminds us of the criticality of clean, unbiased data.

A Guide to Running Large Language Models on Your Personal Computer with Ollama

As technology continues to advance, the accessibility of large language models (LLMs) on personal computers has become increasingly prevalent. In this article, we will...

Unlocking the Power of Using a Local Database for Synthetic Data Generation

In today's data-driven world, the generation of synthetic data has become a crucial component in various industries such as healthcare, finance, and technology. One...

Unlock Your Potential: Top 5 AI Python Projects for Final Year Students

As final year students in the field of AI and machine learning, unlocking your potential through hands-on projects is crucial for gaining practical experience...

Agile development can unlock the power of generative AI – here’s how

Unlocking the potential of generative AI through agile development can revolutionize the way we approach innovation. Find out how this dynamic duo is reshaping the future of technology.

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Large Language Model Inside an Electron.js Desktop App for Anonymizing PII Data

Discover how a cutting-edge large language model is being utilized inside an Electron.js desktop app to anonymize PII data. Explore the innovative technology behind this groundbreaking solution.

AI Thinking: A framework for rethinking artificial intelligence in practice

Artificial intelligence is transforming the way we work with...

TEST: Text Prototype Aligned Embedding to Activate LLM’s Ability for Time Series

This work summarizes two ways to accomplish Time-Series (TS)...

A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

General large language models (LLMs), represented by ChatGPT, have demonstrated...
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