There is no such thing as a Trained LLM
What I mean here is that traditional LLMs are trained on tasks irrelevant to what they will do for the user. It’s like training a… Read More »There is no such thing as a Trained LLM
Selecting the right model to maximize AI training efficiency
Unlock AI training efficiency: Learn to select the right model architecture for your task. Explore CNNs, RNNs, Transformers, and more to maximize performance.
Generative AI for product design: From ideation to launch, faster & smarter
Generative AI is transforming the landscape of product development by enabling designers across various industries, such as furniture, fashion, and automotive, to push boundaries and… Read More »Generative AI for product design: From ideation to launch, faster & smarter
AI-powered digital twins predict weather disasters
As climate change worsens, severe weather events are becoming increasingly common. Consequently, it’s never been more important to predict and respond effectively to these disasters.… Read More »AI-powered digital twins predict weather disasters
Why AI in QA isn’t quite ready yet
AI isn’t just the next big thing; it’s here now, and whoever isn’t using it is missing out.Our clients often ask about AI tools in… Read More »Why AI in QA isn’t quite ready yet
Sports Lessons: Leveraging Organizational Improv to “Do More with Less”
In my blog “The Economics of “Do More With Less”: Blending AI with Organizational Discipline,” I discussed the challenges organizations face when trying to accomplish… Read More »Sports Lessons: Leveraging Organizational Improv to “Do More with Less”
5 tips for fine-tuning LLMs
Master LLM fine-tuning with expert tips on data quality, model architecture, and bias mitigation. Boost performance and efficiency in AI development.
4 strategies for AI-driven vulnerability management
Harnessing artificial intelligence to manage vulnerabilities opens the door to efficient threat detection and proactive risk management. Organizations of all sizes stand to benefit when… Read More »4 strategies for AI-driven vulnerability management
Best practices for structuring large datasets in Retrieval-Augmented Generation (RAG)
Retrieval-Augmented Generation, or RAG, is a game-changer for AI applications, allowing large language models to pull real-time, factual information from massive datasets to enhance their… Read More »Best practices for structuring large datasets in Retrieval-Augmented Generation (RAG)
The Four Pillars of AI-driven Innovation
Innovation is more than just ideation. Ultimately, innovation is about value creation. AI has sparked a growing urgency in the concepts that drive innovation as… Read More »The Four Pillars of AI-driven Innovation