How I Fine-Tuned Granite-Vision 2B to Beat a 90B Model — Insights and Lessons Learned
[ad_1] or vision-language models is a powerful technique that unlocks their potential on specialized tasks. However, despite their effectiveness, these ...
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What Is a Query Folding in Power BI and Why should You Care?
[ad_1] a query folding?” “Does your query fold?”… Maybe someone asked you those questions, but you were like: “Query…Whaaaat?!” Or, ...
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Declarative and Imperative Prompt Engineering for Generative AI
[ad_1] refers to the careful design and optimization of inputs (e.g., queries or instructions) for guiding the behavior and responses ...
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Getting AI Discovery Right | Towards Data Science
[ad_1] building with AI, complexity adds up — there’s more uncertainty, more unknowns, and more moving parts across teams, tools, ...
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When 50/50 Isn’t Optimal: Debunking Even Rebalancing
[ad_1] for an Old Challenge You are training your model for spam detection. Your dataset has many more positives than ...
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Transformers (and Attention) are Just Fancy Addition Machines
[ad_1] is a relatively new sub-field in AI, focused on understanding how neural networks function by reverse-engineering their internal mechanisms ...
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NumPy API on a GPU?
[ad_1] Is future of Python numerical computation? Late last year, NVIDIA made a significant announcement regarding the future of Python-based ...
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From Rules to Relationships: How Machines Are Learning to Understand Each Other
[ad_1] Communication systems have evolved from simple bit transmission to intelligent information sharing. Traditional systems focus on moving raw data ...
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How To Significantly Enhance LLMs by Leveraging Context Engineering
[ad_1] is the science of providing LLMs with the correct context to maximize performance. When you work with LLMs, you ...
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Advanced Topic Modeling with LLMs
[ad_1] This article is a continuation of topic modeling open-source intelligence (OSINT) from the OpenAlex API. In a previous article, ...
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