Category AI feed

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9 hacks for a better nightly build

9 hacks for a better nightly build

It’s not yet as obvious how AIs can help with the build pipeline. In the last few weeks, I’ve been iterating on several applications while asking various LLMs to write the code. While they’re often able to do up to…

When your cloud strategy is ‘it depends’

When your cloud strategy is ‘it depends’

There is no ‘one true way’ In talking with my friends mentioned above, we delved into why they committed to one cloud but still mostly used the other, and why their “all in” decision about the cloud still has them…

AI inference in edge computing: Benefits and use cases

AI inference in edge computing: Benefits and use cases

As artificial intelligence (AI) continues to evolve, its deployment has expanded beyond cloud computing into edge devices, bringing transformative advantages to various industries. AI inference at the edge computing refers to the process of running trained AI models directly on…

The Final Battle: RAG vs Fine-Tuning

The Final Battle: RAG vs Fine-Tuning

With AI and data-driven solutions in focus, the debate between retrieval-augmented generation (RAG) and fine-tuning LLMs remains pivotal. In conversation with AIM, Parita Desai, Lead Architect, Cloud and Data Tech at Fractal, offered her insights into these approaches, elucidating their…

Custom RAG Pipeline from Scratch

Custom RAG Pipeline from Scratch

With the emergence of LLMs, RAG (Retrieval Augmented Generation) is a new way of infusing updated knowledge into them. Starting from basic search queries to chatting with large documents, RAG has innumerable useful applications. At the moment, the deep learning…