TAZI AI Systems

This paper introduces a novel method for generating high-quality text embeddings using synthetic data, achieving state-of-the-art results with minimal training 

Improving Text Embeddings with
Large Language Models: Conclusion and References

In this study, researchers from Microsoft introduce phi-1, a new large language model for code, with significantly smaller size than competing models.

Textbooks Are All You Need: Conclusion and References

In this study, researchers propose a data quality control pipeline for federated fine-tuning of foundation models. 

Enhancing Data Quality: Conclusion and Future Work, and References

How an intelligent router and a herd of open-source models challenge ChatGPT's dominance in language understanding.

How a Herd of Models Challenges ChatGPT's Dominance: Conclusion, Discussion, and References

Few-shot classification involves training a model to perform a new classification task with a handful of labeled data. 

Transductive Learning for Textual Few-Shot: Limitations, Acknowledgements, & References

Traditional IAM breaks down in the age of AI agents. Learn how Zero Trust and ABAC are redefining identity for autonomous systems

Why Traditional IAM Systems Fail in the Age of AI Agents

0G Foundation has appointed Dr. Jonathan Chang, former CEO of Heritage Singapore, to its board of directors to advance decentralized AI adoption globally. 

Why 0G Foundation Appointed Dr. Jonathan Chang to Lead Its Decentralized AI Push

Sairam Madasu uses AI to empower—not replace—caregivers, enhancing dementia care through personalized, real-time support tools.

AI and Empathy:  Why Sairam Madasu Believes AI Should Empower, Not Replace, Caregivers

AI’s efficiency may unintentionally narrow human knowledge, leading to “knowledge collapse.” Learn how this shift affects innovation and cultural diversity.

AI Knows Best—But Only If You Agree With It

Learn why GenAI models fail with new information, the 'One-Shot Generalization Paradox,' and what future AI research holds for overcoming this challenge.

The One-Shot Generalization Paradox: Why Generative AI Struggles With New Information

Explore why AI struggles to count letters in words like 'strawberry,' delving into tokenization, language model limitations, and potential improvements.

Why Can't AI Count the Number of "R"s in the Word "Strawberry"?

AI isn't all bad, but it could potentially destroy the publishing industry. Are publisher fears of AI justified or unwarranted?

Why the Book Publishing Industry Is Terrified of AI

In this paper, researchers analyze AI-generated news articles' neutrality and stance evolution across languages using authentic news outlet ratings.

Multilingual Coarse Political Stance Classification of Media: Acknowledgments and References

The industry was highly impacted by AI in recent years, as machine learning and artificial intelligence have made predictive analytics more accurate.

Portfolio Management: All The Ways AI Is Transforming Modern Asset Strategies

0G Labs, a Silicon Valley innovator, has raised $35 million to spearhead the development of modular AI systems, aiming to transform AI creation and application.

Breaking Boundaries: How 0G Labs' $35M Funding Is Changing the Face of Blockchain

Transductive Learning for Textual Few-Shot Classification: Abstract & Intro

A blog about how prompts unlock the potential of AI - exploring the importance of prompt engineering, techniques to shape AI models

Why Prompt Engineering is the Key to Mastering AI 

Exploring the Implications, Concerns, and Strategies Amidst AI's Growing Influence in the Job Market

How Real Is AI's Threat to Job Security? An Interview With AI Professor Alejandro Piad Morffis

Why is it that, for most organizations, building successful AI applications is a huge challenge? It can be boiled down to three big hurdles.

Why So Many AI Initiatives Fail

In this Sloggin thread, our community discusses the role of AI in art and how it influences human creation and jobs.

Art is Dead Dude: AI-Generated Image Wins State Art Fair

AI is everywhere and we should start to intentionally recruit more diverse teams to design and build it.

Why More Diversity in Competitive AI Roles Requires the Reinvention of the Internship Pipeline

How Web3 Will Use AI

Thanks to AI, we can send, receive and process vast amounts of information near-instantaneously.  But there is still much work to be done.

Ethical Concerns About AI are Overrated

Many people are worried about artificial intelligence taking over the world. A recent study found that 60% of the people in the UK fear AI. Tesla founder Elon Musk says that AI is humanity’s “biggest existential threat,” and that it poses a “fundamental risk to the existence of civilization.”

Addressing Four Myths About the AI Industry: Reasons Not to Fear Artificial Intelligence

TAZI platform provides SaaS automated Machine Learning (AutoML) solutions for insurance, banking \u0026 finance, retail and telecoms industries

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