Good morning, aspiring leader of the next-gen! ☀️

🚀 Have you heard the latest AI news? It's like a soap opera out there! 😂

Google's keeping Assistant around, probably because it's afraid of abandonment issues. Meanwhile, Figure's robot is chatting it up thanks to OpenAI - maybe it'll finally understand my sarcasm!

S&P Global is making everyone do an AI boot camp. What's next, TikTok dance classes? 🕺

Oh, and get this - there's an AI-powered water heater now. No more excuses for cold showers!

The real dramas at OpenAI though. It's like musical chairs, with people leaving left and right. Maybe they should hire an AI to keep track of who's still working there!

And Palantir's trying to make AI less of a pathological liar. Good luck with that! 😅

📔#1 Insights Today on AI. Click the Links to Read

Dr. Fei-Fei Li is the inaugural Sequoia Professor in the Computer Science Department at Stanford University and Co-Director of Stanford’s Human-Centered AI Institute.

After Li’s early focus on physics, her time as a PhD at the California Institute of Technology (Caltech) inspired a new interest in computer vision and neuroscience. That led to her groundbreaking project ImageNet—the largest database of images ever created, 15 million images spread across 22,000 distinct categories—which set the stage for major advances in AI and neural nets. 

⬆️ ️ Trends: How Businesses Implement AI

KNIME: Empowering Organizations with Data Analytics

KNIME, a German startup founded by computer scientist Michael Berthold, has developed an open-source data analytics platform to help organizations become data-driven. The company recently secured $30 million in funding from Invus, bringing its total raised to $50 million.

KNIME's software uses visual, no-code workflows to integrate with existing systems, allowing users to transform data, create reports and visualizations, and compare datasets. The platform's business hub offers automation, deployment, governance, and security features.

With 400 paying customers, including major corporations like Audi, Novartis, and Mercedes-Benz, KNIME has seen annual recurring revenue grow 30-40% yearly since its 2008 founding, reaching about €30 million.

The new funding will support product development, team expansion, and customer acquisition efforts across multiple regions. KNIME plans to enhance its AI assistant capabilities and grow its SaaS offerings for small and medium-sized businesses.

Despite facing competition from established players like Dataiku and IBM, KNIME aims to differentiate itself through innovation and its open-source approach. The company sees potential for growth, even as the tech industry experiences some slowdown in sales cycles and negotiations.

🛸Let’s Teleport in The Future

Reducing Hallucinations with the Ontology in Palantir AIP

Hallucinations in Generative AI occur when models produce false or misleading information. These are a byproduct of how Large Language Models (LLMs) work, predicting the most likely next token based on training data rather than accessing a factual database. While some hallucinations may be inherent to the generative process, Palantir AIP offers strategies to mitigate their occurrence and impact.

The core of Palantir's approach is Ontology - a software model representing an organization's data, logic, and processes. By integrating LLMs with the Ontology, users can ground AI responses in trusted organizational data. This integration helps reduce hallucinations in three key ways:

1. Querying the Ontology for trusted data: LLMs can be given tools to directly access verified information from the Ontology, reducing reliance on potentially outdated or irrelevant training data.

2. Handing off to trusted logic tools: For tasks ill-suited to LLMs, such as complex calculations, the system can delegate to purpose-built functions or models, avoiding hallucinations from misapplied token prediction.

3. Reviewing AI-Generated Actions: By incorporating human oversight into workflows, experts can review and approve AI-suggested actions before implementation, providing an additional safeguard against hallucinations.

These approaches leverage the Ontology's integration of data, logic, and action to create a more reliable AI system. By grounding LLMs in an organizational context, delegating unsuitable tasks, and maintaining human oversight, Palantir AIP enables organizations to harness the power of Generative AI while mitigating the risks of hallucinations.

This strategy not only addresses hallucinations but also aligns with broader principles of Responsible AI, promoting accountability, explainability, and human-centric AI use. As organizations increasingly adopt Generative AI, these methods for reducing hallucinations will be crucial for effective and trustworthy implementation.

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I hope you find these resources helpful.Let me know if you have any questions, if there's anything else I can do to assist you, or what you would like to learn more about in AI.

Have an amazing day!

No more playing catch-up. It's time to GET AHEAD!!! 🚀🚀🚀

🙌🏼

Elena

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