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In this article, we'll dive into the key findings of the 2024 AI Index Report, focusing on benchmarks for truthfulness, reasoning, and agent-based systems, and explore their implications for businesses.

The 2024 HAI AI Index Report reveals a rapidly evolving AI landscape characterized by rising training costs, potential data constraints, the dominance of foundation models, and a shift towards open-source AI.

A new study from Harvard University reveals how LLMs can be manipulated to boost a product's visibility and ranking in recommendations.

Recently, the Open Web Application Security Project (OWASP), a leading authority on cybersecurity, released their list of the Top 10 security risks for LLM applications. Here is what every executive should know about these critical LLM vulnerabilities.

InterpretML is a valuable tool for unlocking the power of interpretable AI in traditional machine learning models. While it may have limitations when it comes to directly interpreting LLMs, the principles of interpretability and transparency remain crucial in the age of generative AI.

It is crucial for business leaders to understand the limitations and potential pitfalls of current approaches to measuring AI capabilities.

Among the myriad areas AI is transforming, innovation management stands out as a domain ripe for disruption. Innovation management, the art and science of bringing new and creative ideas to life, is critical for any organization aiming to maintain a competitive edge in the digital age.

Crafting a generative AI transformation roadmap is about combining strategic foresight, ethical responsibility, and a commitment to continuous learning and adaptation.

How do you create a generative AI strategy?

How do you create a generative AI strategy?

A recent critique calls into question a prominent AI transparency benchmark, illustrating the challenges in evaluating something as complex as transparency.

A recent critique calls into question a prominent AI transparency benchmark, illustrating the challenges in evaluating something as complex as transparency.

To accelerate development of advanced conversational AI applications, Microsoft recently introduced AutoGen, an open-source Python library that streamlines orchestrating multi-agent conversations.

MemGPT, applies OS principles like virtual memory and process management to unlock more powerful applications of LLMs - all while staying within their inherent memory limits.

How exactly should business leaders navigate the complex intersection between AI creation and existing copyright laws? A new research paper by legal scholar Dr Andres Guadamuz provides an enlightening analysis of this murky terrain.

Rumors are swirling that GPT-4 may use an advanced technique called Mixture of Experts (MoE) to achieve over 1 tr parameters. This offers an opportunity to demystify MoE

"Symbolic knowledge distillation" that automates common sense acquisition for AI.

AI experts Alexandra Luccioni and Anna Rogers take a critical look at LLMs, analyzing common claims and assumptions while identifying issues and proposing ways forward.

In 2019, a research paper proposed "model cards" as a way to increase transparency into AI systems and mitigate their potential harms.

A thought-provoking paper from computer scientists raises important concerns about the AI community's pursuit of ever-larger language models.