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Erica Andersen

Erica Andersen Marketing at smartR AI

A Lords Guide to Regulating AI: pro-innovation can be pro-regulation

I recently had the privilege to speak to Lord Christopher Holmes of Richmond (‘Lord Holmes’), Britain’s most successful paralympic swimmer and the creator of the Artificial Intelligence (Regulation) Bill currently making its way through the houses of parliament, to find out: what’s new in the world of AI regulation? Backpedalling on Pro

/ai /regulation Artificial Intelligence and Financial Services

Erica Andersen

Erica Andersen Marketing at smartR AI

A Financial Services Perspective on the Power of Specialized Language Models and Edge Computing

In recent years, the world has witnessed the rise of a powerful cartel of tech giants, each vying for control over every industry, including financial services. Their "big is better" approach to artificial intelligence (AI) has led to a proliferation of large language models (LLMs) that guzzle energy and resources, suffocating main stre

/ai /sustainable Artificial Intelligence and Financial Services

Erica Andersen

Erica Andersen Marketing at smartR AI

AI Guardrails: Ensuring Safe and Ethical AI Development with SLMs

The rapid advancement of artificial intelligence (AI) brings with it tremendous potential benefits, but also potential risks. To ensure AI is developed and used responsibly, the concept of AI guardrails has emerged as a crucial framework. Private Small Language Models (SLMs) would also appear to be very helpful in building AI guardra What are AI

/ai /security Artificial Intelligence and Financial Services

Erica Andersen

Erica Andersen Marketing at smartR AI

The Future of AI: Combating Bias and Ensuring Accuracy with Small Language Models

Artificial intelligence (AI) has been rapidly evolving, with large language models (LLMs) like GPT-X, LLama, and Claude taking center stage. However, a recent survey by the IBM Institute for Business Value has highlighted concerns around accuracy and bias in AI, with nearly half of CEOs (49%) expressing worries about these issues. In fact, the su

/ai /security Artificial Intelligence and Financial Services

Erica Andersen

Erica Andersen Marketing at smartR AI

Beyond the LLM Plateau: How Specialized Language Models Advance AI

As I am sure many of you are aware, there is a growing discussion around the plateauing of Large Language Models (LLMs), and how alternative approaches like Specialized Language Models (SLMs) could address these limitations. Given the huge amounts of venture capital going into LLMs and chips at the tech cartel and, the internal investments at the

/ai Artificial Intelligence and Financial Services

Erica Andersen

Erica Andersen Marketing at smartR AI

Challenging the Notion That LLMs Can't Reason: A Case Study with Einstein's Puzzle

Introduction A recent Apple publication argued that Large Language Models (LLMs) cannot effectively reason. While there is some merit to this claim regarding out-of-the-box performance, this article demonstrates that with proper application, LLMs can indeed solve complex reasoning problems. The Initial Experiment: Einstein's Puzzle We set out to

/ai Artificial Intelligence

Erica Andersen

Erica Andersen Marketing at smartR AI

Maintaining Enterprise Data Privacy in a Data-Hungry World

The rise of large language models (LLMs) and other AI systems has created an insatiable demand for data. While these models offer incredible potential, their hunger for data presents a significant challenge for enterprises striving to maintain data privacy. We also need to see data privacy within the whole data is power context to guarantee a long

/ai /security Artificial Intelligence and Financial Services

Erica Andersen

Erica Andersen Marketing at smartR AI

Enhancing Behavioral Intelligence AI Decision Engines with SLMs: Use Cases Across Industries

Despite the bigger is better AI hype, real techies, not tech bro's for show, are sticking to our instincts, because those LLM hallucinations are not going away are they? The pursuit of perfection is not going to come from a competition stifling Big Bucks Big Tech cartel, but rather a collaboration of real people sharing ideas for good - which mea

/ai /sustainable Artificial Intelligence and Financial Services

Erica Andersen

Erica Andersen Marketing at smartR AI

Data, energy, people and planet: Some SLM balance in the polarized digital age

We need to start taking data privacy and data broking seriously because it would cut energy consumption if only companies adopted private SLMs rather than the huge open source LLMs offered by the big tech organizations. This would keep energy bills down for all of us long suffering consumers who are just about to see another big increase in our b

/ai /sustainable Artificial Intelligence and Financial Services

Erica Andersen

Erica Andersen Marketing at smartR AI

Lean, Mean, Green Machines: Optimizing AI for Energy Efficiency

As AI technology advances, the industry is actively working to meet the increasing demand for electricity and water to support the servers powering this innovation. A standard DGX computer, the gold standard for AI tasks, consumes more than 10KW of power. Big Tech is expected to purchase millions of these systems this year, surpassing the power u

/ai /sustainable Artificial Intelligence and Financial Services

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