ML EXPLAINED
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Master the GPT-4o API in Minutes with This Ultimate Guide!
Open AI just released their newest model GPT-4o with multimodal capabilities, which means it can process text, image and audio at the same time. It’s supposed to be 2x faster and half the price compared to GPT-4, also better than GPT-4 at most of the benchmarks. First thing is that you need to have a developers…
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OpenELM – Apple Enters the Open Source LLM Race But Is it Any Good?
Not even a couple of days have passed since Microsoft’s release of Phi-3-mini which I tested in this blog post. Now Apple has joined the race of Open Source LLMs by release a class of LLMs under the name OpenELM. In this post I’ll guide how you can start using it, as the HuggingFace page…
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Is Phi-3-mini really better than Llama 3? – Testing the Limits of Small LLMs in Real-World Scenarios
Microsoft released Phi-3-mini, a 3.8 billion parameter model, today without much fanfare. What is really surprising is that according to the paper, despite being a smaller model, it outperforms the recently released Llama 3 8B model. Note that it has less than 50% of the parameters and can potentially run on your hand held device…
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Exploring Data Distribution Differences in Machine Learning: An Adversarial Approach
Learn about the importance of addressing dataset shift in machine learning models. In this post we use adversarial methods for detecting and correcting this issue. Its done by using a clever trick to train a model to identify train and test data and using the AUC score you can tell whether there is a difference…
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Is Llama 3 Really Better Than Mistral?
The comparison between Mistral and Llama 3, and the subsequent test with Elden Ring’s contextual retrieval, revealed that Llama 3 outperformed Mistral, but fell short in recognizing the total number of awards won. GPT-4, however, correctly identified the 324 Game of the Year awards won by Elden Ring. It’s evident that GPT-4 remains superior, but…
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Build Fully Local RAG Application with LLaMA 3: A Step-by-Step Guide
Leverage Llama 3 to build a RAG Application that can run on you local device.
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ML EXPLAINED
