Journeying through the galaxy of bits and bytes.
Large language models (LLMs) demonstrated impressive few-shot learning capabilities, rapidly adapting to new tasks with just a handful of… Continue reading on Towards Data Science »
How LLaMA, MPT, Falcon, and LLaMA-2 put open-source LLMs on the map… Continue reading on Towards Data Science »
Take your first steps in writing game-winning AI agents Continue reading on Towards Data Science »
A customized copilot for streamlining PINN research and development Continue reading on Towards Data Science »
AI-powered Business Intelligence. A hype or reality? Continue reading on Towards Data Science »
And how you can do the same in 2023, by leveraging ChatGPT and generative AI. Continue reading on Towards Data Science »
Explore various prompt engineering techniques for arithmetic reasoning problems, best practices, and rapid experimentations for production-grade prompts with Vellum.ai Architecture of four different prompting techniques: Input-Output, Chain-of-Thought (CoT), Self Consistency with Chain-of-Thought (CoT), and Tree of Thought (ToT) (Image from
I’ve always had a strong interest in chemistry, and it has played a significant role in shaping both my academic and professional journey… Continue reading on Towards Data Science »
How you can improve the “learning” and “training” of neural networks through tuning hyperparameters Continue reading on Towards Data Science »
Image by Author A practical overview of the processes, roles, and complexities involved in the development of a GPT-based virtual assistant Throughout 2023, we have been developing a GPT-model-based virtual assistant for the employees of Enefit (one of the largest energy
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