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Google’s Multimodal AI Gemini – A Technical Deep Dive

Sundar Pichai, Google's CEO, together with Demis Hassabis from Google DeepMind, have introduced Gemini in December 2023. This latest large language model is integrated across Google's vast array of products, offering improvements that ripple...

Analogical & Step-Back Prompting: A Dive into Recent Advancements by Google DeepMind

IntroductionPrompt engineering focuses on devising effective prompts to guide Large Language Models (LLMs) similar to GPT-4 in generating desired responses. A well-crafted prompt might be the difference between a vague or inaccurate answer and...

Llama 2: A Deep Dive into the Open-Source Challenger to ChatGPT

Large Language Models (LLMs) able to complex reasoning tasks have shown promise in specialized domains like programming and artistic writing. Nonetheless, the world of LLMs is not simply a plug-and-play paradise; there are challenges...

Beyond Precision and Recall: A Deep Dive Deep into the Tversky Index

Exploring another classification metricOn this planet of knowledge science, metrics are the compass that guide our models to success. While many are acquainted with the classic measures of precision and recall, there are literally...

Exploring OpenAI’s ChatGPT Code Interpreter: A Deep Dive into its Capabilities

OpenAI advancements in Natural Language Processing (NLP) are marked by the rise of Large Language Models (LLMs), which underpin products utilized by hundreds of thousands, including the coding assistant GitHub Copilot and the Bing...

Deep Dive into PFI for Model Interpretability

One other interpretability tool on your toolboxKnowing the best way to assess your model is crucial on your work as a knowledge scientist. Nobody will log off in your solution in the event you’re...

Introduction to Graph Evaluation using cuGraph What’s Graph Evaluation? Let’s dive right into a problem What happens when the info set gets larger? What makes cuGraph special?

When analyzing data, sometimes the relationships between the info elements are vital together with the scope of the query being asked. In those cases, it is best to represent the info as a graph...

Theoretical Deep Dive into Linear Regression The Data Generation Process What Are We Actually Minimizing? Minimize The Loss Function Conclusion

You need to use some other prior distribution on your parameters to create more interesting regularizations. You may even say that your parameters w are normally distributed but with some correlation matrix Σ.Allow...

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