Demystifying the AI Landscape: How Infused Innovations Can Help You Navigate the Advancements

I recently stumbled upon an enlightening resource, ArtificialAnalysis.ai, a site that performs independent analysis of AI models and API providers to help users understand the AI landscape. This comprehensive platform is a treasure trove of information, offering in-depth comparisons and insights to help you choose the best model and provider for your specific use-case.

Because we are often working with clients to help them understand their options around AI, this site has become a helpful data point in outlining the financial ramifications of various decisions, such as:

• Large Language Model (LLM) vs Small Language Model (SLM)
• When a multi-agent approach makes sense
• Which questions shouldn't be answered via a language model at all
• How to assess for bias in the input data and output responses
• How different models and the ethical and responsible design choices made during creation can be leveraged to lead to a better product

Generative AI: Becoming Incredibly Affordable

The pace at which generative AI has become more affordable is nothing short of astounding. The cost of large language model (LLM) inference has plummeted by a staggering 100x over the past two years—from around $50 to just $0.50 per million tokens. This cost reduction is transformative, making AI technology more accessible to individuals and businesses alike.

Let's break down the affordability with a real-world example:

• The average English speaker utters about 10,000 words a day.
• Over a year, this amounts to approximately 3.5 million words.
• At the current rate of $1 per million tokens, having an LLM like ChatGPT listen to everything you say for an entire year would cost you about $3.50.

These numbers highlight a significant opportunity for cost-effective AI deployment, especially in applications where continuous interaction with a language model is required.

Infused Innovations: Your Guide in the Evolving AI Space

At Infused Innovations, we understand that keeping up with these rapid advancements can be challenging. That's why we're dedicated to helping our clients navigate the evolving AI landscape. We offer expert advisory services to identify the right models to address specific business use cases while optimizing for cost-effectiveness and ensuring Responsible AI practices.

Through our assessment and optimization engagements, we help businesses make informed decisions about deploying AI:

• Selecting Between LLMs and SLMs: Not every application demands the power of an LLM. In many cases, a cheaper Small Language Model (SLM) may suffice. For instance, some customer service applications may need an LLM for complex queries but can rely on an SLM for simpler interactions.
• Tailoring Solutions: Some applications require a mix of different models. A top-tier model might be necessary for analyzing photo content, while a less sophisticated model could handle text processing.
• Efficient Subscriptions: Companies currently paying for multiple ChatGPT Premium subscriptions could potentially save money—and enhance security—by utilizing a custom GPT model hosted in Azure that ensures your organizational data never leaves your tenant or is used for retraining.

Conclusion

The AI landscape is evolving rapidly, with falling costs and increasing accessibility. Tools like ArtificialAnalysis.ai are invaluable for staying informed, and paired with a partner that understands the landscape, the real transformation happens when businesses apply these combined insights effectively.

At Infused Innovations, we pride ourselves on being ahead of the curve, providing our clients with the strategic insight needed to leverage AI responsibly and economically. Whether you're considering an engagement for assessment or optimization, we're here to guide you every step of the way.

Let's seize the future of AI together—efficiently, responsibly, and innovatively.