Discover a curated list of tech projects from Staf.ai and AgentOps.ai, featuring project details and direct links. Ideal for developers and tech enthusiasts looking to explore, join, and contribute to innovative initiatives.
Panagiotis Tzamtzis - Digital analytics consultant & Web developer
Explore the world of LLM hacking, from prompt injection to data poisoning. Learn about real-world AI attacks and discover essential strategies to secure your AI projects. A must-read for tech enthusiasts and developers!
A recent chart by AI advisor and investor Allie K. Miller offers valuable insights into benchmarking your organization's AI readiness.
Neuromarketing and psychology have always fascinated me. Below is a list of books that I enjoyed on this topic over the years. Predictably Irrational: The Hidden Forces That Shape Our Decisions Written by Dan Ariely, a Professor of psychology and behavioral economics at Duke University, author and co-founder of several companies implementing insights from behavioral science. His work focuses on understanding human behavior, decision-making, . Ariely explores how humans are predictably irrational, a key tenet of behavioral economics. Through scientific experiments and anecdotes, he illustrates various influences on human behavior, such as the lack of an internal meter for evaluating an...
Following up on the list of 2023's and Q1 2024's most exciting projects, here is the list of the most useful, innovative and exciting LLM-powered projects I found in 2024 Q2.
The Web Scraping Club is a Substack publication curated by Pierluigi Vinciguerra, a seasoned expert in the field of web scraping. This blog serves as a comprehensive resource for individuals interested in the technical and practical aspects of web scraping. It covers a wide range of topics, from basic tutorials for beginners to advanced techniques for experienced scrapers, ensuring there’s something valuable for readers at every skill level. Vinciguerra’s blog is particularly known for its ‘The Lab’ series, which delves into complex challenges faced in web scraping. Recent entries have explored bypassing Cloudflare with anti-detect browsers and evaluating commercial web unblockers. These posts are not only informative...
I came across a fascinating video from Andrew Ng discussing the future of AI with a focus on agentic workflows. Unlike the current non-agentic workflows where we spoon-feed instructions to AI models, agentic workflows allow these models to act more independently, tackling tasks on their own. A great analogy mentioned by Andrew Ng is that non-agentic workflows operate as if you are writting an essay without the option to use backspace (which works remarkably well for LLMs), but what works even better is if you give them the option to contemplate on their results and provide updates (agentic workflows). The...
I love Shawn’s articles and thinking style. Both his blog and the latent.space substack have forward-thinking interesting articles around AI engineering. One of the articles that got my attention was the “The rise of the AI engineer“. In the rapidly evolving landscape of artificial intelligence, a new breed of technologists is emerging: the AI Engineer. As detailed in a Latent Space’s article, this role transcends the traditional Prompt Engineer to embrace the full potential of software development within the AI realm. The AI Engineer is at the forefront of a generational shift, harnessing the power of Foundation Models and open-source...
AirbyteServerless is a straightforward tool designed to manage Airbyte connectors. It offers the flexibility to run these connectors either locally or in serverless mode. If you’re dealing with data pipelines, ETL, data warehousing, or data engineering, AirbyteServerless is a must-have in your tech stack. It simplifies the process of moving data from various sources to your data warehouse. The repository is available on GitHub here. You can use it to load data to your datawarehouse from almost any data source out there. And you don’t need a DB, a UI or an Airbyte server. Plus, serverless compute deployment is supported meaning it can work on Github...
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