om data collection practices to potential vulnerabilities, our digital footprints are larger and more detailed than ever.

All of this exposition helps us understand why they are giving us outputs that are wrong and what we can do to help mitigate the errors.

LLM plus search can find relevant web pages, understand the context, extract key information, and present it in a coherent, tailored manner

GRAIG benchmark provides a view of LLMs using a wider range factors, with traditional measures like reasoning and novel aspects like humor

Like Alchemists, those of us working closely with LLMs engage in experimentation and iteration.

Small language models can address some of today’s current issues with AI’s energy consumption, latency, and reliance on cloud servers.

Gen AI can make original, unseen outputs, transforming our business by helping us work faster and smarter.

The metaphors we use to conceptualize AI assistants shape our expectations

Using Python with LLMs unlocks applications across industries, significantly enhancing their utility in performing analysis & insights

Finding common measures for developers to evaluate their AGI models, share their findings, and collaborate on next steps towards AGI.

For all the ways that GenAI is revolutionary, it still seems to fit this familiar innovation pattern, albeit, on steroids.

AI that can understand, learn, and perform any intellectual task that a human being can. What is intelligence?

Our grasp of AI emergent properties helps us understand what they can really do and provide some guidance for the future of AI development.

Discover how Retrieval-Augmented Generation (RAG) revolutionizes knowledge management by blending AI with precise data retrieval.

LLMs show promise in reasoning tasks, yet face challenges in genuine understanding and novel situations."

Deception can arise from misalignment with human goals, biases in training data, or deliberate manipulation of inputs/ outputs.

Deepfakes are incredibly powerful because they exploit the deep-seated trust we place in our own eyes.

Humans learn best through action. Without a physical environment, how does the lack of action impact how LLMs learn concepts of our world?

Exploring how Generative AI can be both a staggering burden on the environment while also holding the solution to climate change mitigation

The last couple of years in AI have been dominated by Generative AI’s ability to create images (by diffusion models like Dall-e3 ...