The hottest Data handling Substack posts right now

And their main takeaways

Category

Top Business Topics

Steal this NDA template to protect your data from AI training

Deploy Securely • 176 implied HN points • 16 Jan 24

💼 Business Legal AI Data handling Risk management

Protecting confidential information is crucial in business operations.
Including specific AI language in NDAs can help address risks and increase transparency.
Addressing potential unintended training risks and data exposure in legal agreements is important for safeguarding information.

💀 Life & Death (?) of Stack Overflow

HackerPulse Dispatch • 8 implied HN points • 20 Feb 24

🕹 Technology Software Development Artificial Intelligence Coding API Data handling

Understanding popular Stack Overflow questions reveals insights on efficiency, mastering tools, and effective problem-solving in coding.
Monitoring Stack Overflow questions can provide developers with valuable signals for documentation improvements and API enhancements.
The emergence of AI, like OpenAI's Codex and GitHub Copilot, is impacting traditional coding platforms like Stack Overflow, causing a decline in traffic and engagement.

The Mathematics of Scale [Math Mondays]

Technology Made Simple • 59 implied HN points • 07 Jun 22

🕹 Technology Economics Tech Solutions Software Engineering Data handling R&D

Economies of scale mean costs decrease as production increases, benefitting companies by spreading costs over more goods.
Tech and software engineering benefit greatly from scaling and replication, allowing for efficient large-scale operations.
To leverage the principles of scale for career growth, understand how your solutions fit into the big picture and build a strong foundational knowledge across different areas.

Probably a good investment

Three Data Point Thursday • 0 implied HN points • 25 May 23

🕹 Technology Data handling Tech Layoffs

Investing in the probable approach to data is gaining traction.
Using gAI for productivity may not be as impactful as integrating it into products for profit.
DbtLabs recently laid off 15% of its staff, indicating potential challenges in their business model.

The State of LLM Based Application Development

Iceberg • 0 implied HN points • 19 Oct 23

🕹 Technology Data handling Natural Language Processing

LLMs are gaining popularity in the tech world, especially through chat interfaces like Chat GPT models.
Developers face challenges when transitioning human-to-machine interfaces to machine-to-machine interactions with LLMs.
Tools like adjusting temperature parameters and utilizing frameworks can help overcome issues like hallucinations, context size limitations, and arbitrary output in LLM applications.

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