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Generative AI Megatrends: ChatGPT can see, hear and speak – but what does it mean when ChatGPT can think?
One of the most impressive generative AI applications I have seen is viperGPT. The image / site explains it best. The steps are: This example, earlier this year, showed t...
Cracking the code: The rising demand for data scientists in various industries
In the ever-evolving landscape of the digital era, the relentless quest for deriving actionable insights from a sea of information has become the cornerstone of innovatio...
Generative AI megatrends: How many LLMs would you subscribe to?
I recently subscribed to openAI GPT4 for the OpenAI Code Interpreter/Advanced data analytics. We are using it in our class at the University of Oxford. Its really c...
A few highlights of the Efficient Generative AI Summit (EGAIS)
Large language models (LLMs) for generating text and vision models for generating images are notoriously inefficient. The larger they get, the more power hungry they beco...
Entity Language Models: Monetizing Language Models – Part 2
We must move beyond just taming…to monetizing Language Models! In part 1 of this series on Small Language Models (“Use Case Language Models: Taming the LLM Beast – ...
How will the Big Data market evolve in the future?
Big data has been around for some time now, becoming a more or less common concept in business. However, recent developments in AI technology have shaken up an already vo...
Doing graph + tabular analytics directly on modern data lakes
A podcast with Weimo Liu and Sam Magnus of PuppyGraph Open source Apache Iceberg, Hudi and Delta Lake have made it possible to dispense with the complexities and duplicat...
In fraud detection for e-commerce: How does anomaly detection fit in and what are the key approaches?
E-commerce has improved technology and convenience for consumers globally. Fraud is a problem in e-commerce. Merchants and platforms fight fraud to protect their business...