Recent advancements in AI are upending traditional architectures. Companies that fail to pick the right one will be left behind. Continue reading on Towards Data Science »
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AIData Science NewsGen AI
Developing a Company-Specific ChatGPT is One-Third Technology and Two-Thirds Process Improvements
Image by AuthorA practical overview of the processes, roles, and complexities involved in the development of a GPT-based virtual assistantThroughout 2023, we have been developing a GPT-model-based virtual assistant for …
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Posted by Anoop Sinha, Research Director, Technology & Society, and Yossi Matias, Vice President, Google Research The first of Google’s AI Principles is to “Be socially beneficial.” As AI practitioners, …
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From Enthusiasm to Disappointment and finally The Path to Solutions and AppreciationThe Causal Mindset (personalized GPT by Quentin Gallea), generated with Dall-E.Last Tuesday (6th November 2023), Sam Altman (OpenAI CEO), …
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The Rise and Fall of Prompt Engineering: Fad or Future?
This article provides an overview of prompt engineering, from its inception to current status.
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On deepfakes, authenticity, and the President’s Executive Order on AICan you detect the fake? Photo by Liberty Ann on UnsplashOne of the many interesting ethical issues that comes with the …
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Image generated by Stable DiffusionExplaining in simple terms the core technologies required to start developing LLM-based applications.The purpose of this article is to explain in simple terms the key technologies …
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OpenAI released a new feature to create your own GPT. Here is a tutorial on how to do it as well as the main limitations you might face. Continue reading …
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Working together to create open-source and private datasets for AI training.
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AIData Science CareersData Science NewsGen AI
AI + No-Code: The Viral Combo Redefining Developer Innovation
Time is the one thing developers can never get back. The author, discusses the value of low code/no code platforms backed by AI in promoting faster development times and increased …